From f51d01b618df4950fc892bf637affbe39fc73fdc Mon Sep 17 00:00:00 2001
From: jeffser <jeffrysamuer@gmail.com>
Date: Mon, 22 Jul 2024 22:19:47 -0600
Subject: [PATCH] New models added!

---
 data/com.jeffser.Alpaca.metainfo.xml.in |   13 +
 src/available_models.json               | 9872 +++++++++++++----------
 src/available_models_descriptions.py    |   76 +-
 3 files changed, 5453 insertions(+), 4508 deletions(-)

diff --git a/data/com.jeffser.Alpaca.metainfo.xml.in b/data/com.jeffser.Alpaca.metainfo.xml.in
index cc13e58..2f18101 100644
--- a/data/com.jeffser.Alpaca.metainfo.xml.in
+++ b/data/com.jeffser.Alpaca.metainfo.xml.in
@@ -77,6 +77,7 @@
         <p>The new icon was made by Tobias Bernard over the Gnome Gitlab, thanks for the great icon!</p>
         <p>Features and fixes</p>
         <ul>
+          <li>Updated Ollama instance to 0.2.8</li>
           <li>Better model selector</li>
           <li>Model manager redesign</li>
           <li>Better tag selector when pulling a model</li>
@@ -103,6 +104,18 @@
           <li>Auto-hiding sidebar button</li>
           <li>Various UI tweaks</li>
         </ul>
+        <p>New Models</p>
+        <ul>
+          <li>Gemma2</li>
+          <li>GLM4</li>
+          <li>Codegeex4</li>
+          <li>InternLM2</li>
+          <li>Llama3-groq-tool-use</li>
+          <li>Mathstral</li>
+          <li>Mistral-nemo</li>
+          <li>Firefunction-v2</li>
+          <li>Nuextract</li>
+        </ul>
         <p>Translations</p>
         <p>These are all the available translations on 1.0.0, thanks to all the contributors!</p>
         <ul>
diff --git a/src/available_models.json b/src/available_models.json
index bcf835c..e8411ab 100644
--- a/src/available_models.json
+++ b/src/available_models.json
@@ -75,6 +75,66 @@
                 "27b-instruct-q8_0",
                 "29GB"
             ],
+            [
+                "27b-text-fp16",
+                "54GB"
+            ],
+            [
+                "27b-text-q2_K",
+                "10GB"
+            ],
+            [
+                "27b-text-q3_K_L",
+                "15GB"
+            ],
+            [
+                "27b-text-q3_K_M",
+                "13GB"
+            ],
+            [
+                "27b-text-q3_K_S",
+                "12GB"
+            ],
+            [
+                "27b-text-q4_0",
+                "16GB"
+            ],
+            [
+                "27b-text-q4_1",
+                "17GB"
+            ],
+            [
+                "27b-text-q4_K_M",
+                "17GB"
+            ],
+            [
+                "27b-text-q4_K_S",
+                "16GB"
+            ],
+            [
+                "27b-text-q5_0",
+                "19GB"
+            ],
+            [
+                "27b-text-q5_1",
+                "21GB"
+            ],
+            [
+                "27b-text-q5_K_M",
+                "19GB"
+            ],
+            [
+                "27b-text-q5_K_S",
+                "19GB"
+            ],
+            [
+                "27b-text-q6_K",
+                "22GB"
+            ],
+            [
+                "27b-text-q8_0",
+                "29GB"
+            ],
             [
                 "9b-instruct-fp16",
                 "18GB"
@@ -134,6 +194,66 @@
             [
                 "9b-instruct-q8_0",
                 "9.8GB"
+            ],
+            [
+                "9b-text-fp16",
+                "18GB"
+            ],
+            [
+                "9b-text-q2_K",
+                "3.8GB"
+            ],
+            [
+                "9b-text-q3_K_L",
+                "5.1GB"
+            ],
+            [
+                "9b-text-q3_K_M",
+                "4.8GB"
+            ],
+            [
+                "9b-text-q3_K_S",
+                "4.3GB"
+            ],
+            [
+                "9b-text-q4_0",
+                "5.4GB"
+            ],
+            [
+                "9b-text-q4_1",
+                "6.0GB"
+            ],
+            [
+                "9b-text-q4_K_M",
+                "5.8GB"
+            ],
+            [
+                "9b-text-q4_K_S",
+                "5.5GB"
+            ],
+            [
+                "9b-text-q5_0",
+                "6.5GB"
+            ],
+            [
+                "9b-text-q5_1",
+                "7.0GB"
+            ],
+            [
+                "9b-text-q5_K_M",
+                "6.6GB"
+            ],
+            [
+                "9b-text-q5_K_S",
+                "6.5GB"
+            ],
+            [
+                "9b-text-q6_K",
+                "7.6GB"
+            ],
+            [
+                "9b-text-q8_0",
+                "9.8GB"
             ]
         ],
         "image": false,
@@ -1029,7 +1149,7 @@
         "tags": [
             [
                 "latest",
-                "2.4GB"
+                "2.2GB"
             ],
             [
                 "14b",
@@ -1037,11 +1157,11 @@
             ],
             [
                 "3.8b",
-                "2.4GB"
+                "2.2GB"
             ],
             [
                 "instruct",
-                "2.4GB"
+                "2.2GB"
             ],
             [
                 "medium",
@@ -1049,18 +1169,18 @@
             ],
             [
                 "mini",
-                "2.4GB"
+                "2.2GB"
             ],
             [
                 "14b-instruct",
                 "7.9GB"
             ],
             [
-                "14b-medium-128k-instruct-f16",
+                "14b-medium-4k-instruct-f16",
                 "28GB"
             ],
             [
-                "14b-medium-4k-instruct-f16",
+                "14b-medium-128k-instruct-f16",
                 "28GB"
             ],
             [
@@ -1173,14 +1293,18 @@
             ],
             [
                 "3.8b-instruct",
-                "2.4GB"
+                "2.2GB"
+            ],
+            [
+                "3.8b-mini-4k-instruct-f16",
+                "7.6GB"
             ],
             [
                 "3.8b-mini-128k-instruct-f16",
                 "7.6GB"
             ],
             [
-                "3.8b-mini-4k-instruct-f16",
+                "3.8b-mini-128k-instruct-fp16",
                 "7.6GB"
             ],
             [
@@ -1239,6 +1363,10 @@
                 "3.8b-mini-128k-instruct-q8_0",
                 "4.1GB"
             ],
+            [
+                "3.8b-mini-4k-instruct-fp16",
+                "7.6GB"
+            ],
             [
                 "3.8b-mini-4k-instruct-q2_K",
                 "1.4GB"
@@ -1306,6 +1434,10 @@
             [
                 "medium-128k",
                 "7.9GB"
+            ],
+            [
+                "mini-4k",
+                "2.4GB"
             ]
         ],
         "image": false,
@@ -1327,14 +1459,14 @@
                 "8b",
                 "4.8GB"
             ],
-            [
-                "35b-23",
-                "20GB"
-            ],
             [
                 "35b-23-f16",
                 "70GB"
             ],
+            [
+                "35b-23",
+                "20GB"
+            ],
             [
                 "35b-23-q2_K",
                 "14GB"
@@ -1391,14 +1523,14 @@
                 "35b-23-q8_0",
                 "37GB"
             ],
-            [
-                "8b-23-f16",
-                "16GB"
-            ],
             [
                 "8b-23",
                 "4.8GB"
             ],
+            [
+                "8b-23-f16",
+                "16GB"
+            ],
             [
                 "8b-23-q2_K",
                 "3.4GB"
@@ -1495,101 +1627,17 @@
                 "7b-instruct",
                 "4.1GB"
             ],
-            [
-                "7b-instruct-fp16",
-                "14GB"
-            ],
-            [
-                "7b-instruct-q2_K",
-                "3.1GB"
-            ],
-            [
-                "7b-instruct-q3_K_L",
-                "3.8GB"
-            ],
-            [
-                "7b-instruct-q3_K_M",
-                "3.5GB"
-            ],
-            [
-                "7b-instruct-q3_K_S",
-                "3.2GB"
-            ],
-            [
-                "7b-instruct-q4_0",
-                "4.1GB"
-            ],
-            [
-                "7b-instruct-q4_1",
-                "4.6GB"
-            ],
-            [
-                "7b-instruct-q4_K_M",
-                "4.4GB"
-            ],
-            [
-                "7b-instruct-q4_K_S",
-                "4.1GB"
-            ],
-            [
-                "7b-instruct-q5_0",
-                "5.0GB"
-            ],
-            [
-                "7b-instruct-q5_1",
-                "5.4GB"
-            ],
-            [
-                "7b-instruct-q5_K_M",
-                "5.1GB"
-            ],
-            [
-                "7b-instruct-q5_K_S",
-                "5.0GB"
-            ],
-            [
-                "7b-instruct-q6_K",
-                "5.9GB"
-            ],
-            [
-                "7b-instruct-q8_0",
-                "7.7GB"
-            ],
-            [
-                "7b-instruct-v0.2-q5_K_M",
-                "5.1GB"
-            ],
-            [
-                "7b-instruct-v0.2-q5_0",
-                "5.0GB"
-            ],
-            [
-                "7b-instruct-v0.2-q4_0",
-                "4.1GB"
-            ],
-            [
-                "7b-instruct-v0.2-q5_1",
-                "5.4GB"
-            ],
             [
                 "7b-instruct-v0.2-fp16",
                 "14GB"
             ],
-            [
-                "7b-instruct-v0.2-q3_K_L",
-                "3.8GB"
-            ],
             [
                 "7b-instruct-v0.2-q2_K",
                 "3.1GB"
             ],
             [
-                "7b-instruct-v0.2-q4_K_S",
-                "4.1GB"
-            ],
-            [
-                "7b-instruct-v0.2-q4_K_M",
-                "4.4GB"
+                "7b-instruct-v0.2-q3_K_L",
+                "3.8GB"
             ],
             [
                 "7b-instruct-v0.2-q3_K_M",
@@ -1599,10 +1647,34 @@
                 "7b-instruct-v0.2-q3_K_S",
                 "3.2GB"
             ],
+            [
+                "7b-instruct-v0.2-q4_0",
+                "4.1GB"
+            ],
             [
                 "7b-instruct-v0.2-q4_1",
                 "4.6GB"
             ],
+            [
+                "7b-instruct-v0.2-q4_K_M",
+                "4.4GB"
+            ],
+            [
+                "7b-instruct-v0.2-q4_K_S",
+                "4.1GB"
+            ],
+            [
+                "7b-instruct-v0.2-q5_0",
+                "5.0GB"
+            ],
+            [
+                "7b-instruct-v0.2-q5_1",
+                "5.4GB"
+            ],
+            [
+                "7b-instruct-v0.2-q5_K_M",
+                "5.1GB"
+            ],
             [
                 "7b-instruct-v0.2-q5_K_S",
                 "5.0GB"
@@ -1671,10 +1743,70 @@
                 "7b-instruct-v0.3-q6_K",
                 "5.9GB"
             ],
+            [
+                "7b-instruct-q6_K",
+                "5.9GB"
+            ],
+            [
+                "7b-instruct-q5_K_S",
+                "5.0GB"
+            ],
+            [
+                "7b-instruct-q5_1",
+                "5.4GB"
+            ],
+            [
+                "7b-instruct-q4_1",
+                "4.6GB"
+            ],
+            [
+                "7b-instruct-fp16",
+                "14GB"
+            ],
+            [
+                "7b-instruct-q3_K_S",
+                "3.2GB"
+            ],
+            [
+                "7b-instruct-q3_K_L",
+                "3.8GB"
+            ],
+            [
+                "7b-instruct-q4_K_M",
+                "4.4GB"
+            ],
             [
                 "7b-instruct-v0.3-q8_0",
                 "7.7GB"
             ],
+            [
+                "7b-instruct-q2_K",
+                "3.1GB"
+            ],
+            [
+                "7b-instruct-q3_K_M",
+                "3.5GB"
+            ],
+            [
+                "7b-instruct-q5_0",
+                "5.0GB"
+            ],
+            [
+                "7b-instruct-q4_0",
+                "4.1GB"
+            ],
+            [
+                "7b-instruct-q5_K_M",
+                "5.1GB"
+            ],
+            [
+                "7b-instruct-q4_K_S",
+                "4.1GB"
+            ],
+            [
+                "7b-instruct-q8_0",
+                "7.7GB"
+            ],
             [
                 "7b-text",
                 "4.1GB"
@@ -1716,48 +1848,48 @@
                 "3.2GB"
             ],
             [
-                "7b-text-q5_K_S",
-                "5.0GB"
-            ],
-            [
-                "7b-text-q8_0",
-                "7.7GB"
-            ],
-            [
-                "7b-text-v0.2-q3_K_L",
-                "3.8GB"
-            ],
-            [
-                "7b-text-v0.2-q3_K_M",
-                "3.5GB"
+                "7b-text-v0.2-fp16",
+                "14GB"
             ],
             [
                 "7b-text-q5_0",
                 "5.0GB"
             ],
-            [
-                "7b-text-q4_K_S",
-                "4.1GB"
-            ],
             [
                 "7b-text-q5_K_M",
                 "5.1GB"
             ],
+            [
+                "7b-text-q5_1",
+                "5.4GB"
+            ],
+            [
+                "7b-text-q4_K_S",
+                "4.1GB"
+            ],
             [
                 "7b-text-v0.2-q2_K",
                 "2.7GB"
             ],
+            [
+                "7b-text-v0.2-q3_K_M",
+                "3.5GB"
+            ],
+            [
+                "7b-text-v0.2-q3_K_L",
+                "3.8GB"
+            ],
+            [
+                "7b-text-q8_0",
+                "7.7GB"
+            ],
             [
                 "7b-text-q6_K",
                 "5.9GB"
             ],
             [
-                "7b-text-v0.2-fp16",
-                "14GB"
-            ],
-            [
-                "7b-text-q5_1",
-                "5.4GB"
+                "7b-text-q5_K_S",
+                "5.0GB"
             ],
             [
                 "7b-text-v0.2-q4_0",
@@ -1811,14 +1943,14 @@
                 "latest",
                 "26GB"
             ],
-            [
-                "8x7b",
-                "26GB"
-            ],
             [
                 "8x22b",
                 "80GB"
             ],
+            [
+                "8x7b",
+                "26GB"
+            ],
             [
                 "instruct",
                 "26GB"
@@ -2179,101 +2311,41 @@
                 "7b-instruct",
                 "5.0GB"
             ],
-            [
-                "7b-instruct-fp16",
-                "17GB"
-            ],
-            [
-                "7b-instruct-q2_K",
-                "3.5GB"
-            ],
-            [
-                "7b-instruct-q3_K_L",
-                "4.7GB"
-            ],
-            [
-                "7b-instruct-q3_K_M",
-                "4.4GB"
-            ],
-            [
-                "7b-instruct-v1.1-q4_K_M",
-                "5.3GB"
-            ],
-            [
-                "7b-instruct-q5_K_M",
-                "6.1GB"
-            ],
-            [
-                "7b-instruct-v1.1-q4_1",
-                "5.5GB"
-            ],
-            [
-                "7b-instruct-v1.1-q4_0",
-                "5.0GB"
-            ],
-            [
-                "7b-instruct-q4_1",
-                "5.5GB"
-            ],
-            [
-                "7b-instruct-q6_K",
-                "7.0GB"
-            ],
-            [
-                "7b-instruct-q4_K_M",
-                "5.3GB"
-            ],
-            [
-                "7b-instruct-q3_K_S",
-                "4.0GB"
-            ],
-            [
-                "7b-instruct-q8_0",
-                "9.1GB"
-            ],
-            [
-                "7b-instruct-q4_K_S",
-                "5.0GB"
-            ],
-            [
-                "7b-instruct-v1.1-q3_K_L",
-                "4.7GB"
-            ],
-            [
-                "7b-instruct-q5_K_S",
-                "6.0GB"
-            ],
-            [
-                "7b-instruct-q5_0",
-                "6.0GB"
-            ],
             [
                 "7b-instruct-v1.1-fp16",
                 "17GB"
             ],
-            [
-                "7b-instruct-v1.1-q3_K_S",
-                "4.0GB"
-            ],
             [
                 "7b-instruct-v1.1-q2_K",
                 "3.5GB"
             ],
+            [
+                "7b-instruct-v1.1-q3_K_L",
+                "4.7GB"
+            ],
             [
                 "7b-instruct-v1.1-q3_K_M",
                 "4.4GB"
             ],
             [
-                "7b-instruct-q4_0",
+                "7b-instruct-v1.1-q3_K_S",
+                "4.0GB"
+            ],
+            [
+                "7b-instruct-v1.1-q4_0",
                 "5.0GB"
             ],
             [
-                "7b-instruct-q5_1",
-                "6.5GB"
+                "7b-instruct-v1.1-q4_1",
+                "5.5GB"
             ],
             [
-                "7b-instruct-v1.1-q8_0",
-                "9.1GB"
+                "7b-instruct-v1.1-q4_K_M",
+                "5.3GB"
+            ],
+            [
+                "7b-instruct-v1.1-q4_K_S",
+                "5.0GB"
             ],
             [
                 "7b-instruct-v1.1-q5_0",
@@ -2283,6 +2355,10 @@
                 "7b-instruct-v1.1-q5_1",
                 "6.5GB"
             ],
+            [
+                "7b-instruct-v1.1-q5_K_M",
+                "6.1GB"
+            ],
             [
                 "7b-instruct-v1.1-q5_K_S",
                 "6.0GB"
@@ -2292,12 +2368,68 @@
                 "7.0GB"
             ],
             [
-                "7b-instruct-v1.1-q5_K_M",
+                "7b-instruct-q4_K_S",
+                "5.0GB"
+            ],
+            [
+                "7b-instruct-q4_0",
+                "5.0GB"
+            ],
+            [
+                "7b-instruct-q3_K_L",
+                "4.7GB"
+            ],
+            [
+                "7b-instruct-q4_K_M",
+                "5.3GB"
+            ],
+            [
+                "7b-instruct-q3_K_M",
+                "4.4GB"
+            ],
+            [
+                "7b-instruct-fp16",
+                "17GB"
+            ],
+            [
+                "7b-instruct-q2_K",
+                "3.5GB"
+            ],
+            [
+                "7b-instruct-q3_K_S",
+                "4.0GB"
+            ],
+            [
+                "7b-instruct-v1.1-q8_0",
+                "9.1GB"
+            ],
+            [
+                "7b-instruct-q4_1",
+                "5.5GB"
+            ],
+            [
+                "7b-instruct-q5_0",
+                "6.0GB"
+            ],
+            [
+                "7b-instruct-q5_1",
+                "6.5GB"
+            ],
+            [
+                "7b-instruct-q5_K_M",
                 "6.1GB"
             ],
             [
-                "7b-instruct-v1.1-q4_K_S",
-                "5.0GB"
+                "7b-instruct-q5_K_S",
+                "6.0GB"
+            ],
+            [
+                "7b-instruct-q6_K",
+                "7.0GB"
+            ],
+            [
+                "7b-instruct-q8_0",
+                "9.1GB"
             ],
             [
                 "7b-v1.1",
@@ -2336,48 +2468,28 @@
                 "1.7GB"
             ],
             [
-                "2b-code-q4_K_M",
+                "2b-code-v1.1-q4_K_M",
                 "1.6GB"
             ],
             [
-                "2b-code-q3_K_L",
-                "1.5GB"
+                "2b-code-v1.1-q4_K_S",
+                "1.6GB"
             ],
             [
-                "2b-code-q3_K_M",
-                "1.4GB"
-            ],
-            [
-                "2b-code-v1.1-q6_K",
-                "2.1GB"
-            ],
-            [
-                "2b-code-v1.1-q5_K_S",
+                "2b-code-v1.1-q5_0",
                 "1.8GB"
             ],
-            [
-                "2b-code-q4_1",
-                "1.7GB"
-            ],
             [
                 "2b-code-v1.1-q5_1",
                 "1.9GB"
             ],
-            [
-                "2b-code-v1.1-q4_K_M",
-                "1.6GB"
-            ],
             [
                 "2b-code-v1.1-q5_K_M",
                 "1.8GB"
             ],
             [
-                "2b-code-q4_0",
-                "1.6GB"
-            ],
-            [
-                "2b-code-v1.1-q8_0",
-                "2.7GB"
+                "2b-code-q4_1",
+                "1.7GB"
             ],
             [
                 "2b-code-q3_K_S",
@@ -2387,17 +2499,37 @@
                 "2b-code-fp16",
                 "5.0GB"
             ],
+            [
+                "2b-code-v1.1-q6_K",
+                "2.1GB"
+            ],
             [
                 "2b-code-q2_K",
                 "1.2GB"
             ],
             [
-                "2b-code-v1.1-q4_K_S",
+                "2b-code-q3_K_L",
+                "1.5GB"
+            ],
+            [
+                "2b-code-q3_K_M",
+                "1.4GB"
+            ],
+            [
+                "2b-code-v1.1-q8_0",
+                "2.7GB"
+            ],
+            [
+                "2b-code-v1.1-q5_K_S",
+                "1.8GB"
+            ],
+            [
+                "2b-code-q4_0",
                 "1.6GB"
             ],
             [
-                "2b-code-v1.1-q5_0",
-                "1.8GB"
+                "2b-code-q4_K_M",
+                "1.6GB"
             ],
             [
                 "2b-code-q4_K_S",
@@ -2976,80 +3108,12 @@
                 "5.0GB"
             ],
             [
-                "7b-instruct-fp16",
+                "7b-instruct-v1.1-fp16",
                 "17GB"
             ],
             [
-                "7b-instruct-q2_K",
-                "3.7GB"
-            ],
-            [
-                "7b-instruct-q3_K_L",
-                "4.9GB"
-            ],
-            [
-                "7b-instruct-q3_K_M",
-                "4.6GB"
-            ],
-            [
-                "7b-instruct-q3_K_S",
-                "4.2GB"
-            ],
-            [
-                "7b-instruct-q4_0",
-                "5.2GB"
-            ],
-            [
-                "7b-instruct-q4_1",
-                "5.7GB"
-            ],
-            [
-                "7b-instruct-q4_K_M",
-                "5.5GB"
-            ],
-            [
-                "7b-instruct-q4_K_S",
-                "5.2GB"
-            ],
-            [
-                "7b-instruct-q5_0",
-                "6.2GB"
-            ],
-            [
-                "7b-instruct-q5_1",
-                "6.7GB"
-            ],
-            [
-                "7b-instruct-q5_K_M",
-                "6.3GB"
-            ],
-            [
-                "7b-instruct-q5_K_S",
-                "6.2GB"
-            ],
-            [
-                "7b-instruct-q6_K",
-                "7.2GB"
-            ],
-            [
-                "7b-instruct-v1.1-q5_K_S",
-                "6.0GB"
-            ],
-            [
-                "7b-instruct-v1.1-q3_K_S",
-                "4.0GB"
-            ],
-            [
-                "7b-instruct-v1.1-q5_1",
-                "6.5GB"
-            ],
-            [
-                "7b-instruct-v1.1-q4_1",
-                "5.5GB"
-            ],
-            [
-                "7b-instruct-v1.1-q4_K_S",
-                "5.0GB"
+                "7b-instruct-v1.1-q2_K",
+                "3.5GB"
             ],
             [
                 "7b-instruct-v1.1-q3_K_L",
@@ -3060,41 +3124,109 @@
                 "4.4GB"
             ],
             [
-                "7b-instruct-v1.1-q5_0",
-                "6.0GB"
+                "7b-instruct-v1.1-q3_K_S",
+                "4.0GB"
             ],
             [
                 "7b-instruct-v1.1-q4_0",
                 "5.0GB"
             ],
-            [
-                "7b-instruct-v1.1-q4_K_M",
-                "5.3GB"
-            ],
-            [
-                "7b-instruct-v1.1-q5_K_M",
-                "6.1GB"
-            ],
             [
                 "7b-instruct-q8_0",
                 "9.1GB"
             ],
             [
-                "7b-instruct-v1.1-q2_K",
-                "3.5GB"
+                "7b-instruct-v1.1-q5_1",
+                "6.5GB"
             ],
             [
-                "7b-instruct-v1.1-fp16",
+                "7b-instruct-q3_K_L",
+                "4.9GB"
+            ],
+            [
+                "7b-instruct-fp16",
                 "17GB"
             ],
+            [
+                "7b-instruct-q5_0",
+                "6.2GB"
+            ],
             [
                 "7b-instruct-v1.1-q6_K",
                 "7.0GB"
             ],
+            [
+                "7b-instruct-v1.1-q4_K_M",
+                "5.3GB"
+            ],
+            [
+                "7b-instruct-q3_K_S",
+                "4.2GB"
+            ],
+            [
+                "7b-instruct-q4_1",
+                "5.7GB"
+            ],
+            [
+                "7b-instruct-v1.1-q4_K_S",
+                "5.0GB"
+            ],
+            [
+                "7b-instruct-q3_K_M",
+                "4.6GB"
+            ],
+            [
+                "7b-instruct-q6_K",
+                "7.2GB"
+            ],
+            [
+                "7b-instruct-v1.1-q4_1",
+                "5.5GB"
+            ],
+            [
+                "7b-instruct-q2_K",
+                "3.7GB"
+            ],
+            [
+                "7b-instruct-v1.1-q5_K_S",
+                "6.0GB"
+            ],
+            [
+                "7b-instruct-q4_K_M",
+                "5.5GB"
+            ],
+            [
+                "7b-instruct-q4_K_S",
+                "5.2GB"
+            ],
+            [
+                "7b-instruct-q5_1",
+                "6.7GB"
+            ],
             [
                 "7b-instruct-v1.1-q8_0",
                 "9.1GB"
             ],
+            [
+                "7b-instruct-v1.1-q5_K_M",
+                "6.1GB"
+            ],
+            [
+                "7b-instruct-q4_0",
+                "5.2GB"
+            ],
+            [
+                "7b-instruct-v1.1-q5_0",
+                "6.0GB"
+            ],
+            [
+                "7b-instruct-q5_K_S",
+                "6.2GB"
+            ],
+            [
+                "7b-instruct-q5_K_M",
+                "6.3GB"
+            ],
             [
                 "7b-text",
                 "5.2GB"
@@ -3167,81 +3299,21 @@
                 "2b-instruct",
                 "1.6GB"
             ],
-            [
-                "2b-instruct-fp16",
-                "4.5GB"
-            ],
-            [
-                "2b-instruct-q2_K",
-                "1.3GB"
-            ],
-            [
-                "2b-instruct-q3_K_L",
-                "1.6GB"
-            ],
-            [
-                "2b-instruct-q3_K_M",
-                "1.5GB"
-            ],
-            [
-                "2b-instruct-q3_K_S",
-                "1.4GB"
-            ],
-            [
-                "2b-instruct-q4_0",
-                "1.7GB"
-            ],
-            [
-                "2b-instruct-q4_1",
-                "1.8GB"
-            ],
-            [
-                "2b-instruct-q4_K_M",
-                "1.8GB"
-            ],
-            [
-                "2b-instruct-q4_K_S",
-                "1.7GB"
-            ],
-            [
-                "2b-instruct-q5_0",
-                "1.9GB"
-            ],
-            [
-                "2b-instruct-q5_1",
-                "2.1GB"
-            ],
-            [
-                "2b-instruct-q5_K_M",
-                "2.0GB"
-            ],
             [
                 "2b-instruct-v1.1-fp16",
                 "5.0GB"
             ],
             [
-                "2b-instruct-q8_0",
-                "2.7GB"
-            ],
-            [
-                "2b-instruct-q6_K",
-                "2.2GB"
-            ],
-            [
-                "2b-instruct-q5_K_S",
-                "1.9GB"
-            ],
-            [
-                "2b-instruct-v1.1-q3_K_M",
-                "1.4GB"
+                "2b-instruct-v1.1-q2_K",
+                "1.2GB"
             ],
             [
                 "2b-instruct-v1.1-q3_K_L",
                 "1.5GB"
             ],
             [
-                "2b-instruct-v1.1-q2_K",
-                "1.2GB"
+                "2b-instruct-v1.1-q3_K_M",
+                "1.4GB"
             ],
             [
                 "2b-instruct-v1.1-q3_K_S",
@@ -3287,6 +3359,66 @@
                 "2b-instruct-v1.1-q8_0",
                 "2.7GB"
             ],
+            [
+                "2b-instruct-q6_K",
+                "2.2GB"
+            ],
+            [
+                "2b-instruct-q5_K_S",
+                "1.9GB"
+            ],
+            [
+                "2b-instruct-q5_1",
+                "2.1GB"
+            ],
+            [
+                "2b-instruct-q4_K_S",
+                "1.7GB"
+            ],
+            [
+                "2b-instruct-q3_K_L",
+                "1.6GB"
+            ],
+            [
+                "2b-instruct-q5_0",
+                "1.9GB"
+            ],
+            [
+                "2b-instruct-q4_1",
+                "1.8GB"
+            ],
+            [
+                "2b-instruct-q5_K_M",
+                "2.0GB"
+            ],
+            [
+                "2b-instruct-q2_K",
+                "1.3GB"
+            ],
+            [
+                "2b-instruct-fp16",
+                "4.5GB"
+            ],
+            [
+                "2b-instruct-q4_0",
+                "1.7GB"
+            ],
+            [
+                "2b-instruct-q4_K_M",
+                "1.8GB"
+            ],
+            [
+                "2b-instruct-q3_K_M",
+                "1.5GB"
+            ],
+            [
+                "2b-instruct-q3_K_S",
+                "1.4GB"
+            ],
+            [
+                "2b-instruct-q8_0",
+                "2.7GB"
+            ],
             [
                 "2b-text",
                 "1.7GB"
@@ -3528,48 +3660,108 @@
                 "41GB"
             ],
             [
-                "72b-chat-fp16",
+                "72b-chat-v1.5-fp16",
                 "145GB"
             ],
             [
-                "72b-chat-q2_K",
-                "27GB"
+                "72b-chat-v1.5-q2_K",
+                "28GB"
             ],
             [
-                "72b-chat-q3_K_L",
-                "39GB"
+                "72b-chat-v1.5-q3_K_L",
+                "38GB"
             ],
             [
-                "72b-chat-q3_K_M",
-                "37GB"
+                "72b-chat-v1.5-q3_K_M",
+                "36GB"
+            ],
+            [
+                "72b-chat-v1.5-q3_K_S",
+                "33GB"
+            ],
+            [
+                "72b-chat-v1.5-q4_0",
+                "41GB"
+            ],
+            [
+                "72b-chat-v1.5-q4_1",
+                "45GB"
+            ],
+            [
+                "72b-chat-v1.5-q4_K_M",
+                "44GB"
+            ],
+            [
+                "72b-chat-v1.5-q4_K_S",
+                "42GB"
+            ],
+            [
+                "72b-chat-q5_1",
+                "54GB"
+            ],
+            [
+                "72b-chat-v1.5-q8_0",
+                "77GB"
             ],
             [
                 "72b-chat-q3_K_S",
                 "32GB"
             ],
             [
-                "72b-chat-q4_0",
-                "41GB"
+                "72b-chat-q3_K_L",
+                "39GB"
             ],
             [
                 "72b-chat-q4_1",
                 "45GB"
             ],
             [
-                "72b-chat-q4_K_M",
-                "45GB"
+                "72b-chat-v1.5-q6_K",
+                "59GB"
             ],
             [
-                "72b-chat-q4_K_S",
+                "72b-chat-v1.5-q5_K_S",
+                "50GB"
+            ],
+            [
+                "72b-chat-q4_0",
                 "41GB"
             ],
+            [
+                "72b-chat-v1.5-q5_1",
+                "54GB"
+            ],
+            [
+                "72b-chat-v1.5-q5_K_M",
+                "51GB"
+            ],
             [
                 "72b-chat-q5_0",
                 "50GB"
             ],
             [
-                "72b-chat-q5_1",
-                "54GB"
+                "72b-chat-q2_K",
+                "27GB"
+            ],
+            [
+                "72b-chat-q4_K_M",
+                "45GB"
+            ],
+            [
+                "72b-chat-fp16",
+                "145GB"
+            ],
+            [
+                "72b-chat-q3_K_M",
+                "37GB"
+            ],
+            [
+                "72b-chat-v1.5-q5_0",
+                "50GB"
+            ],
+            [
+                "72b-chat-q4_K_S",
+                "41GB"
             ],
             [
                 "72b-chat-q5_K_M",
@@ -3583,70 +3775,10 @@
                 "72b-chat-q6_K",
                 "59GB"
             ],
-            [
-                "72b-chat-v1.5-q4_K_M",
-                "44GB"
-            ],
-            [
-                "72b-chat-v1.5-q2_K",
-                "28GB"
-            ],
-            [
-                "72b-chat-v1.5-q4_0",
-                "41GB"
-            ],
-            [
-                "72b-chat-v1.5-q4_1",
-                "45GB"
-            ],
-            [
-                "72b-chat-v1.5-q3_K_L",
-                "38GB"
-            ],
             [
                 "72b-chat-q8_0",
                 "77GB"
             ],
-            [
-                "72b-chat-v1.5-q3_K_M",
-                "36GB"
-            ],
-            [
-                "72b-chat-v1.5-q3_K_S",
-                "33GB"
-            ],
-            [
-                "72b-chat-v1.5-fp16",
-                "145GB"
-            ],
-            [
-                "72b-chat-v1.5-q4_K_S",
-                "42GB"
-            ],
-            [
-                "72b-chat-v1.5-q5_0",
-                "50GB"
-            ],
-            [
-                "72b-chat-v1.5-q5_1",
-                "54GB"
-            ],
-            [
-                "72b-chat-v1.5-q5_K_M",
-                "51GB"
-            ],
-            [
-                "72b-chat-v1.5-q5_K_S",
-                "50GB"
-            ],
-            [
-                "72b-chat-v1.5-q6_K",
-                "59GB"
-            ],
-            [
-                "72b-chat-v1.5-q8_0",
-                "77GB"
-            ],
             [
                 "72b-text",
                 "63GB"
@@ -3667,89 +3799,89 @@
                 "72b-text-v1.5-q3_K_M",
                 "36GB"
             ],
-            [
-                "72b-text-q4_1",
-                "45GB"
-            ],
-            [
-                "72b-text-v1.5-q5_K_M",
-                "51GB"
-            ],
-            [
-                "72b-text-fp16",
-                "145GB"
-            ],
-            [
-                "72b-text-q4_0",
-                "41GB"
-            ],
-            [
-                "72b-text-v1.5-q4_K_M",
-                "44GB"
-            ],
-            [
-                "72b-text-v1.5-q5_1",
-                "54GB"
-            ],
-            [
-                "72b-text-v1.5-q8_0",
-                "77GB"
-            ],
-            [
-                "72b-text-q3_K_S",
-                "32GB"
-            ],
-            [
-                "72b-text-q3_K_M",
-                "37GB"
-            ],
-            [
-                "72b-text-v1.5-q4_K_S",
-                "42GB"
-            ],
-            [
-                "72b-text-v1.5-q4_1",
-                "45GB"
-            ],
-            [
-                "72b-text-q3_K_L",
-                "39GB"
-            ],
             [
                 "72b-text-v1.5-q3_K_S",
                 "33GB"
             ],
-            [
-                "72b-text-v1.5-q5_0",
-                "50GB"
-            ],
-            [
-                "72b-text-v1.5-q6_K",
-                "59GB"
-            ],
             [
                 "72b-text-v1.5-q4_0",
                 "41GB"
             ],
             [
-                "72b-text-q2_K",
-                "27GB"
+                "72b-text-v1.5-q4_1",
+                "45GB"
+            ],
+            [
+                "72b-text-v1.5-q4_K_M",
+                "44GB"
+            ],
+            [
+                "72b-text-v1.5-q4_K_S",
+                "42GB"
+            ],
+            [
+                "72b-text-v1.5-q5_0",
+                "50GB"
+            ],
+            [
+                "72b-text-v1.5-q5_1",
+                "54GB"
+            ],
+            [
+                "72b-text-v1.5-q5_K_M",
+                "51GB"
             ],
             [
                 "72b-text-v1.5-q5_K_S",
                 "50GB"
             ],
             [
-                "72b-text-q4_K_M",
-                "45GB"
+                "72b-text-q5_0",
+                "50GB"
+            ],
+            [
+                "72b-text-q3_K_L",
+                "39GB"
+            ],
+            [
+                "72b-text-q2_K",
+                "27GB"
             ],
             [
                 "72b-text-q4_K_S",
                 "41GB"
             ],
             [
-                "72b-text-q5_0",
-                "50GB"
+                "72b-text-v1.5-q6_K",
+                "59GB"
+            ],
+            [
+                "72b-text-q4_0",
+                "41GB"
+            ],
+            [
+                "72b-text-q3_K_M",
+                "37GB"
+            ],
+            [
+                "72b-text-q3_K_S",
+                "32GB"
+            ],
+            [
+                "72b-text-v1.5-q8_0",
+                "77GB"
+            ],
+            [
+                "72b-text-fp16",
+                "145GB"
+            ],
+            [
+                "72b-text-q4_1",
+                "45GB"
+            ],
+            [
+                "72b-text-q4_K_M",
+                "45GB"
             ],
             [
                 "72b-text-q5_1",
@@ -3936,16 +4068,16 @@
                 "10GB"
             ],
             [
-                "14b-chat-v1.5-q6_K",
-                "12GB"
+                "14b-chat-q4_1",
+                "9.0GB"
             ],
             [
-                "14b-chat-v1.5-q8_0",
-                "15GB"
+                "14b-chat-q3_K_L",
+                "8.0GB"
             ],
             [
-                "14b-chat-q8_0",
-                "15GB"
+                "14b-chat-q4_0",
+                "8.2GB"
             ],
             [
                 "14b-chat-q3_K_S",
@@ -3956,103 +4088,87 @@
                 "28GB"
             ],
             [
-                "14b-chat-q4_K_S",
-                "8.6GB"
+                "14b-chat-v1.5-q8_0",
+                "15GB"
             ],
             [
-                "14b-chat-q5_K_M",
-                "11GB"
-            ],
-            [
-                "14b-chat-q4_1",
-                "9.0GB"
-            ],
-            [
-                "14b-chat-q6_K",
+                "14b-chat-v1.5-q6_K",
                 "12GB"
             ],
-            [
-                "14b-chat-q3_K_L",
-                "8.0GB"
-            ],
-            [
-                "14b-chat-q5_0",
-                "9.9GB"
-            ],
-            [
-                "14b-chat-q3_K_M",
-                "7.7GB"
-            ],
-            [
-                "14b-chat-q5_1",
-                "11GB"
-            ],
-            [
-                "14b-chat-q4_0",
-                "8.2GB"
-            ],
             [
                 "14b-chat-q2_K",
                 "6.0GB"
             ],
+            [
+                "14b-chat-q3_K_M",
+                "7.7GB"
+            ],
             [
                 "14b-chat-q4_K_M",
                 "9.4GB"
             ],
+            [
+                "14b-chat-q4_K_S",
+                "8.6GB"
+            ],
+            [
+                "14b-chat-q5_0",
+                "9.9GB"
+            ],
+            [
+                "14b-chat-q5_1",
+                "11GB"
+            ],
+            [
+                "14b-chat-q5_K_M",
+                "11GB"
+            ],
             [
                 "14b-chat-q5_K_S",
                 "10GB"
             ],
             [
-                "14b-text",
-                "8.2GB"
-            ],
-            [
-                "14b-text-v1.5-fp16",
-                "28GB"
-            ],
-            [
-                "14b-text-v1.5-q2_K",
-                "6.1GB"
-            ],
-            [
-                "14b-text-v1.5-q3_K_L",
-                "7.8GB"
-            ],
-            [
-                "14b-text-q3_K_L",
-                "8.0GB"
-            ],
-            [
-                "14b-text-v1.5-q8_0",
-                "15GB"
-            ],
-            [
-                "14b-text-v1.5-q4_0",
-                "8.2GB"
-            ],
-            [
-                "14b-text-v1.5-q6_K",
+                "14b-chat-q6_K",
                 "12GB"
             ],
             [
-                "14b-text-v1.5-q4_1",
-                "9.0GB"
+                "14b-chat-q8_0",
+                "15GB"
             ],
             [
-                "14b-text-v1.5-q4_K_M",
-                "9.2GB"
-            ],
-            [
-                "14b-text-v1.5-q5_K_S",
-                "10GB"
+                "14b-text",
+                "8.2GB"
             ],
             [
                 "14b-text-fp16",
                 "28GB"
             ],
             [
-                "14b-text-v1.5-q5_1",
+                "14b-text-q2_K",
+                "6.0GB"
+            ],
+            [
+                "14b-text-q3_K_L",
+                "8.0GB"
+            ],
+            [
+                "14b-text-q3_K_M",
+                "7.7GB"
+            ],
+            [
+                "14b-text-q3_K_S",
+                "6.9GB"
+            ],
+            [
+                "14b-text-v1.5-q4_K_M",
+                "9.2GB"
+            ],
+            [
+                "14b-text-q4_0",
+                "8.2GB"
+            ],
+            [
+                "14b-text-q5_1",
                 "11GB"
             ],
             [
@@ -4060,23 +4176,7 @@
                 "6.9GB"
             ],
             [
-                "14b-text-v1.5-q5_0",
-                "9.9GB"
-            ],
-            [
-                "14b-text-v1.5-q4_K_S",
-                "8.6GB"
-            ],
-            [
-                "14b-text-v1.5-q3_K_M",
-                "7.4GB"
-            ],
-            [
-                "14b-text-q2_K",
-                "6.0GB"
-            ],
-            [
-                "14b-text-v1.5-q5_K_M",
+                "14b-text-q5_K_M",
                 "11GB"
             ],
             [
@@ -4084,41 +4184,9 @@
                 "10GB"
             ],
             [
-                "14b-text-q3_K_S",
-                "6.9GB"
-            ],
-            [
-                "14b-text-q4_1",
-                "9.0GB"
-            ],
-            [
-                "14b-text-q4_0",
+                "14b-text-v1.5-q4_0",
                 "8.2GB"
             ],
-            [
-                "14b-text-q3_K_M",
-                "7.7GB"
-            ],
-            [
-                "14b-text-q4_K_S",
-                "8.6GB"
-            ],
-            [
-                "14b-text-q5_0",
-                "9.9GB"
-            ],
-            [
-                "14b-text-q5_K_M",
-                "11GB"
-            ],
-            [
-                "14b-text-q4_K_M",
-                "9.4GB"
-            ],
-            [
-                "14b-text-q5_1",
-                "11GB"
-            ],
             [
                 "14b-text-q6_K",
                 "12GB"
@@ -4128,81 +4196,85 @@
                 "15GB"
             ],
             [
-                "7b-chat",
-                "4.5GB"
+                "14b-text-q5_0",
+                "9.9GB"
             ],
             [
-                "7b-chat-v1.5-fp16",
+                "14b-text-q4_1",
+                "9.0GB"
+            ],
+            [
+                "14b-text-v1.5-q4_1",
+                "9.0GB"
+            ],
+            [
+                "14b-text-q4_K_S",
+                "8.6GB"
+            ],
+            [
+                "14b-text-q4_K_M",
+                "9.4GB"
+            ],
+            [
+                "14b-text-v1.5-q3_K_L",
+                "7.8GB"
+            ],
+            [
+                "14b-text-v1.5-q3_K_M",
+                "7.4GB"
+            ],
+            [
+                "14b-text-v1.5-fp16",
+                "28GB"
+            ],
+            [
+                "14b-text-v1.5-q2_K",
+                "6.1GB"
+            ],
+            [
+                "14b-text-v1.5-q4_K_S",
+                "8.6GB"
+            ],
+            [
+                "14b-text-v1.5-q5_0",
+                "9.9GB"
+            ],
+            [
+                "14b-text-v1.5-q5_1",
+                "11GB"
+            ],
+            [
+                "14b-text-v1.5-q5_K_M",
+                "11GB"
+            ],
+            [
+                "14b-text-v1.5-q5_K_S",
+                "10GB"
+            ],
+            [
+                "14b-text-v1.5-q6_K",
+                "12GB"
+            ],
+            [
+                "14b-text-v1.5-q8_0",
                 "15GB"
             ],
             [
-                "7b-chat-v1.5-q2_K",
-                "3.1GB"
-            ],
-            [
-                "7b-chat-v1.5-q3_K_L",
-                "4.2GB"
-            ],
-            [
-                "7b-chat-v1.5-q3_K_M",
-                "3.9GB"
-            ],
-            [
-                "7b-chat-v1.5-q3_K_S",
-                "3.6GB"
-            ],
-            [
-                "7b-chat-v1.5-q4_0",
+                "7b-chat",
                 "4.5GB"
             ],
-            [
-                "7b-chat-v1.5-q4_1",
-                "5.0GB"
-            ],
-            [
-                "7b-chat-v1.5-q4_K_M",
-                "4.8GB"
-            ],
-            [
-                "7b-chat-v1.5-q4_K_S",
-                "4.5GB"
-            ],
-            [
-                "7b-chat-v1.5-q5_0",
-                "5.4GB"
-            ],
-            [
-                "7b-chat-v1.5-q5_1",
-                "5.8GB"
-            ],
-            [
-                "7b-chat-v1.5-q5_K_M",
-                "5.5GB"
-            ],
-            [
-                "7b-chat-v1.5-q5_K_S",
-                "5.4GB"
-            ],
-            [
-                "7b-chat-v1.5-q6_K",
-                "6.3GB"
-            ],
-            [
-                "7b-chat-q3_K_L",
-                "4.3GB"
-            ],
             [
                 "7b-chat-fp16",
                 "15GB"
             ],
-            [
-                "7b-chat-v1.5-q8_0",
-                "8.2GB"
-            ],
             [
                 "7b-chat-q2_K",
                 "3.0GB"
             ],
+            [
+                "7b-chat-q3_K_L",
+                "4.3GB"
+            ],
             [
                 "7b-chat-q3_K_M",
                 "4.1GB"
@@ -4220,35 +4292,95 @@
                 "5.0GB"
             ],
             [
-                "7b-chat-q4_K_M",
-                "4.9GB"
+                "7b-chat-v1.5-q5_1",
+                "5.8GB"
             ],
             [
-                "7b-chat-q4_K_S",
-                "4.5GB"
-            ],
-            [
-                "7b-chat-q5_0",
-                "5.4GB"
+                "7b-chat-v1.5-q3_K_M",
+                "3.9GB"
             ],
             [
                 "7b-chat-q5_1",
                 "5.8GB"
             ],
+            [
+                "7b-chat-q4_K_S",
+                "4.5GB"
+            ],
             [
                 "7b-chat-q5_K_M",
                 "5.7GB"
             ],
+            [
+                "7b-chat-q4_K_M",
+                "4.9GB"
+            ],
+            [
+                "7b-chat-q8_0",
+                "8.2GB"
+            ],
+            [
+                "7b-chat-v1.5-q4_1",
+                "5.0GB"
+            ],
+            [
+                "7b-chat-v1.5-q4_K_S",
+                "4.5GB"
+            ],
+            [
+                "7b-chat-v1.5-q2_K",
+                "3.1GB"
+            ],
+            [
+                "7b-chat-v1.5-q3_K_S",
+                "3.6GB"
+            ],
             [
                 "7b-chat-q5_K_S",
                 "5.4GB"
             ],
+            [
+                "7b-chat-v1.5-q4_K_M",
+                "4.8GB"
+            ],
+            [
+                "7b-chat-v1.5-q5_0",
+                "5.4GB"
+            ],
             [
                 "7b-chat-q6_K",
                 "6.3GB"
             ],
             [
-                "7b-chat-q8_0",
+                "7b-chat-q5_0",
+                "5.4GB"
+            ],
+            [
+                "7b-chat-v1.5-q4_0",
+                "4.5GB"
+            ],
+            [
+                "7b-chat-v1.5-q3_K_L",
+                "4.2GB"
+            ],
+            [
+                "7b-chat-v1.5-fp16",
+                "15GB"
+            ],
+            [
+                "7b-chat-v1.5-q5_K_M",
+                "5.5GB"
+            ],
+            [
+                "7b-chat-v1.5-q5_K_S",
+                "5.4GB"
+            ],
+            [
+                "7b-chat-v1.5-q6_K",
+                "6.3GB"
+            ],
+            [
+                "7b-chat-v1.5-q8_0",
                 "8.2GB"
             ],
             [
@@ -4508,29 +4640,33 @@
                 "1.1GB"
             ],
             [
-                "1.8b-chat-v1.5-fp16",
+                "1.8b-chat-fp16",
                 "3.7GB"
             ],
             [
-                "1.8b-chat-v1.5-q2_K",
-                "863MB"
+                "1.8b-chat-q2_K",
+                "853MB"
             ],
             [
-                "1.8b-chat-v1.5-q3_K_L",
+                "1.8b-chat-q3_K_L",
                 "1.1GB"
             ],
             [
-                "1.8b-chat-v1.5-q3_K_M",
+                "1.8b-chat-q3_K_M",
                 "1.0GB"
             ],
             [
-                "1.8b-chat-v1.5-q3_K_S",
+                "1.8b-chat-q3_K_S",
                 "970MB"
             ],
             [
-                "1.8b-chat-v1.5-q4_0",
+                "1.8b-chat-q4_0",
                 "1.1GB"
             ],
+            [
+                "1.8b-chat-v1.5-q4_K_S",
+                "1.2GB"
+            ],
             [
                 "1.8b-chat-v1.5-q4_1",
                 "1.2GB"
@@ -4540,127 +4676,135 @@
                 "1.2GB"
             ],
             [
-                "1.8b-chat-v1.5-q4_K_S",
-                "1.2GB"
-            ],
-            [
-                "1.8b-chat-q3_K_S",
+                "1.8b-chat-v1.5-q3_K_S",
                 "970MB"
             ],
+            [
+                "1.8b-chat-q4_1",
+                "1.2GB"
+            ],
+            [
+                "1.8b-chat-v1.5-fp16",
+                "3.7GB"
+            ],
+            [
+                "1.8b-chat-v1.5-q3_K_L",
+                "1.1GB"
+            ],
+            [
+                "1.8b-chat-v1.5-q3_K_M",
+                "1.0GB"
+            ],
+            [
+                "1.8b-chat-v1.5-q4_0",
+                "1.1GB"
+            ],
+            [
+                "1.8b-chat-q4_K_S",
+                "1.2GB"
+            ],
+            [
+                "1.8b-chat-q5_K_M",
+                "1.4GB"
+            ],
+            [
+                "1.8b-chat-q5_1",
+                "1.4GB"
+            ],
+            [
+                "1.8b-chat-q8_0",
+                "2.0GB"
+            ],
+            [
+                "1.8b-chat-q4_K_M",
+                "1.2GB"
+            ],
+            [
+                "1.8b-chat-v1.5-q2_K",
+                "863MB"
+            ],
+            [
+                "1.8b-chat-q6_K",
+                "1.6GB"
+            ],
+            [
+                "1.8b-chat-q5_K_S",
+                "1.3GB"
+            ],
+            [
+                "1.8b-chat-q5_0",
+                "1.3GB"
+            ],
             [
                 "1.8b-chat-v1.5-q5_0",
                 "1.3GB"
             ],
+            [
+                "1.8b-chat-v1.5-q5_1",
+                "1.4GB"
+            ],
+            [
+                "1.8b-chat-v1.5-q5_K_M",
+                "1.4GB"
+            ],
+            [
+                "1.8b-chat-v1.5-q5_K_S",
+                "1.3GB"
+            ],
             [
                 "1.8b-chat-v1.5-q6_K",
                 "1.6GB"
             ],
-            [
-                "1.8b-chat-v1.5-q5_1",
-                "1.4GB"
-            ],
             [
                 "1.8b-chat-v1.5-q8_0",
                 "2.0GB"
             ],
-            [
-                "1.8b-chat-v1.5-q5_K_S",
-                "1.3GB"
-            ],
-            [
-                "1.8b-chat-q3_K_L",
-                "1.1GB"
-            ],
-            [
-                "1.8b-chat-fp16",
-                "3.7GB"
-            ],
-            [
-                "1.8b-chat-v1.5-q5_K_M",
-                "1.4GB"
-            ],
-            [
-                "1.8b-chat-q2_K",
-                "853MB"
-            ],
-            [
-                "1.8b-chat-q3_K_M",
-                "1.0GB"
-            ],
-            [
-                "1.8b-chat-q4_0",
-                "1.1GB"
-            ],
-            [
-                "1.8b-chat-q4_1",
-                "1.2GB"
-            ],
-            [
-                "1.8b-chat-q4_K_M",
-                "1.2GB"
-            ],
-            [
-                "1.8b-chat-q4_K_S",
-                "1.2GB"
-            ],
-            [
-                "1.8b-chat-q5_0",
-                "1.3GB"
-            ],
-            [
-                "1.8b-chat-q5_1",
-                "1.4GB"
-            ],
-            [
-                "1.8b-chat-q5_K_M",
-                "1.4GB"
-            ],
-            [
-                "1.8b-chat-q5_K_S",
-                "1.3GB"
-            ],
-            [
-                "1.8b-chat-q6_K",
-                "1.6GB"
-            ],
-            [
-                "1.8b-chat-q8_0",
-                "2.0GB"
-            ],
             [
                 "1.8b-text",
                 "1.1GB"
             ],
             [
-                "1.8b-text-fp16",
+                "1.8b-text-v1.5-fp16",
                 "3.7GB"
             ],
             [
-                "1.8b-text-q2_K",
-                "853MB"
+                "1.8b-text-v1.5-q2_K",
+                "863MB"
             ],
             [
-                "1.8b-text-q3_K_L",
+                "1.8b-text-v1.5-q3_K_L",
                 "1.1GB"
             ],
             [
-                "1.8b-text-q3_K_M",
+                "1.8b-text-v1.5-q3_K_M",
                 "1.0GB"
             ],
             [
-                "1.8b-text-q3_K_S",
+                "1.8b-text-v1.5-q3_K_S",
                 "970MB"
             ],
             [
-                "1.8b-text-q4_0",
+                "1.8b-text-v1.5-q4_0",
                 "1.1GB"
             ],
             [
-                "1.8b-text-q4_1",
+                "1.8b-text-v1.5-q4_1",
                 "1.2GB"
             ],
             [
-                "1.8b-text-q4_K_M",
+                "1.8b-text-v1.5-q4_K_M",
+                "1.2GB"
+            ],
+            [
+                "1.8b-text-v1.5-q4_K_S",
+                "1.2GB"
+            ],
+            [
+                "1.8b-text-q5_0",
+                "1.3GB"
+            ],
+            [
+                "1.8b-text-q4_1",
                 "1.2GB"
             ],
             [
@@ -4668,7 +4812,55 @@
                 "1.2GB"
             ],
             [
-                "1.8b-text-q5_0",
+                "1.8b-text-q3_K_M",
+                "1.0GB"
+            ],
+            [
+                "1.8b-text-fp16",
+                "3.7GB"
+            ],
+            [
+                "1.8b-text-q3_K_L",
+                "1.1GB"
+            ],
+            [
+                "1.8b-text-q3_K_S",
+                "970MB"
+            ],
+            [
+                "1.8b-text-v1.5-q6_K",
+                "1.6GB"
+            ],
+            [
+                "1.8b-text-q4_0",
+                "1.1GB"
+            ],
+            [
+                "1.8b-text-v1.5-q5_K_M",
+                "1.4GB"
+            ],
+            [
+                "1.8b-text-v1.5-q5_K_S",
+                "1.3GB"
+            ],
+            [
+                "1.8b-text-q2_K",
+                "853MB"
+            ],
+            [
+                "1.8b-text-v1.5-q8_0",
+                "2.0GB"
+            ],
+            [
+                "1.8b-text-q4_K_M",
+                "1.2GB"
+            ],
+            [
+                "1.8b-text-v1.5-q5_1",
+                "1.4GB"
+            ],
+            [
+                "1.8b-text-v1.5-q5_0",
                 "1.3GB"
             ],
             [
@@ -4687,70 +4879,10 @@
                 "1.8b-text-q6_K",
                 "1.6GB"
             ],
-            [
-                "1.8b-text-v1.5-q5_K_S",
-                "1.3GB"
-            ],
-            [
-                "1.8b-text-v1.5-q4_K_S",
-                "1.2GB"
-            ],
-            [
-                "1.8b-text-v1.5-q5_0",
-                "1.3GB"
-            ],
-            [
-                "1.8b-text-v1.5-q5_K_M",
-                "1.4GB"
-            ],
-            [
-                "1.8b-text-v1.5-q4_0",
-                "1.1GB"
-            ],
-            [
-                "1.8b-text-v1.5-q2_K",
-                "863MB"
-            ],
-            [
-                "1.8b-text-v1.5-q4_K_M",
-                "1.2GB"
-            ],
             [
                 "1.8b-text-q8_0",
                 "2.0GB"
             ],
-            [
-                "1.8b-text-v1.5-q3_K_S",
-                "970MB"
-            ],
-            [
-                "1.8b-text-v1.5-q4_1",
-                "1.2GB"
-            ],
-            [
-                "1.8b-text-v1.5-q5_1",
-                "1.4GB"
-            ],
-            [
-                "1.8b-text-v1.5-q3_K_L",
-                "1.1GB"
-            ],
-            [
-                "1.8b-text-v1.5-fp16",
-                "3.7GB"
-            ],
-            [
-                "1.8b-text-v1.5-q3_K_M",
-                "1.0GB"
-            ],
-            [
-                "1.8b-text-v1.5-q6_K",
-                "1.6GB"
-            ],
-            [
-                "1.8b-text-v1.5-q8_0",
-                "2.0GB"
-            ],
             [
                 "0.5b-chat",
                 "395MB"
@@ -6111,14 +6243,14 @@
                 "latest",
                 "26GB"
             ],
-            [
-                "8x7b",
-                "26GB"
-            ],
             [
                 "8x22b",
                 "80GB"
             ],
+            [
+                "8x7b",
+                "26GB"
+            ],
             [
                 "v2.5",
                 "26GB"
@@ -6459,6 +6591,26 @@
         "image": false,
         "author": "Eric Hartford"
     },
+    "nomic-embed-text": {
+        "url": "https://ollama.com/library/nomic-embed-text",
+        "description": "A high-performing open embedding model with a large token context window.",
+        "tags": [
+            [
+                "latest",
+                "274MB"
+            ],
+            [
+                "v1.5",
+                "274MB"
+            ],
+            [
+                "137m-v1.5-fp16",
+                "274MB"
+            ]
+        ],
+        "image": false,
+        "author": "Nomic AI"
+    },
     "llama2-uncensored": {
         "url": "https://ollama.com/library/llama2-uncensored",
         "description": "Uncensored Llama 2 model by George Sung and Jarrad Hope.",
@@ -7019,26 +7171,6 @@
         "image": false,
         "author": "DeepSeek Team"
     },
-    "nomic-embed-text": {
-        "url": "https://ollama.com/library/nomic-embed-text",
-        "description": "A high-performing open embedding model with a large token context window.",
-        "tags": [
-            [
-                "latest",
-                "274MB"
-            ],
-            [
-                "v1.5",
-                "274MB"
-            ],
-            [
-                "137m-v1.5-fp16",
-                "274MB"
-            ]
-        ],
-        "image": false,
-        "author": "Nomic AI"
-    },
     "phi": {
         "url": "https://ollama.com/library/phi",
         "description": "Phi-2: a 2.7B language model by Microsoft Research that demonstrates outstanding reasoning and language understanding capabilities.",
@@ -7420,32 +7552,88 @@
                 "4.1GB"
             ],
             [
-                "7b-v2.6-fp16",
+                "7b-v2.6-dpo-laser-fp16",
                 "14GB"
             ],
+            [
+                "7b-v2.6-dpo-laser-q2_K",
+                "3.1GB"
+            ],
+            [
+                "7b-v2.6-dpo-laser-q3_K_L",
+                "3.8GB"
+            ],
+            [
+                "7b-v2.6-dpo-laser-q3_K_M",
+                "3.5GB"
+            ],
+            [
+                "7b-v2.6-dpo-laser-q3_K_S",
+                "3.2GB"
+            ],
+            [
+                "7b-v2.6-dpo-laser-q4_0",
+                "4.1GB"
+            ],
+            [
+                "7b-v2.6-dpo-laser-q4_1",
+                "4.6GB"
+            ],
+            [
+                "7b-v2.6-dpo-laser-q4_K_M",
+                "4.4GB"
+            ],
+            [
+                "7b-v2.6-dpo-laser-q4_K_S",
+                "4.1GB"
+            ],
             [
                 "7b-v2.6-q2_K",
                 "3.1GB"
             ],
             [
-                "7b-v2.6-q3_K_L",
-                "3.8GB"
+                "7b-v2.6-dpo-laser-q5_K_S",
+                "5.0GB"
+            ],
+            [
+                "7b-v2.6-dpo-laser-q5_K_M",
+                "5.1GB"
+            ],
+            [
+                "7b-v2.6-dpo-laser-q5_0",
+                "5.0GB"
+            ],
+            [
+                "7b-v2.6-fp16",
+                "14GB"
+            ],
+            [
+                "7b-v2.6-dpo-laser-q6_K",
+                "5.9GB"
+            ],
+            [
+                "7b-v2.6-dpo-laser-q8_0",
+                "7.7GB"
+            ],
+            [
+                "7b-v2.6-dpo-laser-q5_1",
+                "5.4GB"
+            ],
+            [
+                "7b-v2.6-q6_K",
+                "5.9GB"
+            ],
+            [
+                "7b-v2.6-q5_K_M",
+                "5.1GB"
             ],
             [
                 "7b-v2.6-q3_K_M",
                 "3.5GB"
             ],
             [
-                "7b-v2.6-q3_K_S",
-                "3.2GB"
-            ],
-            [
-                "7b-v2.6-q4_0",
-                "4.1GB"
-            ],
-            [
-                "7b-v2.6-q4_1",
-                "4.6GB"
+                "7b-v2.6-q5_0",
+                "5.0GB"
             ],
             [
                 "7b-v2.6-q4_K_M",
@@ -7456,89 +7644,33 @@
                 "4.1GB"
             ],
             [
-                "7b-v2.6-q5_0",
-                "5.0GB"
+                "7b-v2.6-q3_K_L",
+                "3.8GB"
+            ],
+            [
+                "7b-v2.6-q4_0",
+                "4.1GB"
+            ],
+            [
+                "7b-v2.6-q4_1",
+                "4.6GB"
             ],
             [
                 "7b-v2.6-q5_1",
                 "5.4GB"
             ],
             [
-                "7b-v2.6-q5_K_M",
-                "5.1GB"
+                "7b-v2.6-q3_K_S",
+                "3.2GB"
             ],
             [
                 "7b-v2.6-q5_K_S",
                 "5.0GB"
             ],
-            [
-                "7b-v2.6-q6_K",
-                "5.9GB"
-            ],
-            [
-                "7b-v2.6-dpo-laser-q4_K_M",
-                "4.4GB"
-            ],
-            [
-                "7b-v2.6-dpo-laser-q3_K_L",
-                "3.8GB"
-            ],
             [
                 "7b-v2.6-q8_0",
                 "7.7GB"
             ],
-            [
-                "7b-v2.6-dpo-laser-q3_K_M",
-                "3.5GB"
-            ],
-            [
-                "7b-v2.6-dpo-laser-q2_K",
-                "3.1GB"
-            ],
-            [
-                "7b-v2.6-dpo-laser-q4_0",
-                "4.1GB"
-            ],
-            [
-                "7b-v2.6-dpo-laser-q3_K_S",
-                "3.2GB"
-            ],
-            [
-                "7b-v2.6-dpo-laser-fp16",
-                "14GB"
-            ],
-            [
-                "7b-v2.6-dpo-laser-q4_1",
-                "4.6GB"
-            ],
-            [
-                "7b-v2.6-dpo-laser-q4_K_S",
-                "4.1GB"
-            ],
-            [
-                "7b-v2.6-dpo-laser-q5_0",
-                "5.0GB"
-            ],
-            [
-                "7b-v2.6-dpo-laser-q5_1",
-                "5.4GB"
-            ],
-            [
-                "7b-v2.6-dpo-laser-q5_K_M",
-                "5.1GB"
-            ],
-            [
-                "7b-v2.6-dpo-laser-q5_K_S",
-                "5.0GB"
-            ],
-            [
-                "7b-v2.6-dpo-laser-q6_K",
-                "5.9GB"
-            ],
-            [
-                "7b-v2.6-dpo-laser-q8_0",
-                "7.7GB"
-            ],
             [
                 "7b-v2.8",
                 "4.1GB"
@@ -7607,82 +7739,6 @@
         "image": false,
         "author": "Eric Hartford"
     },
-    "mistral-openorca": {
-        "url": "https://ollama.com/library/mistral-openorca",
-        "description": "Mistral OpenOrca is a 7 billion parameter model, fine-tuned on top of the Mistral 7B model using the OpenOrca dataset.",
-        "tags": [
-            [
-                "latest",
-                "4.1GB"
-            ],
-            [
-                "7b",
-                "4.1GB"
-            ],
-            [
-                "7b-fp16",
-                "14GB"
-            ],
-            [
-                "7b-q2_K",
-                "3.1GB"
-            ],
-            [
-                "7b-q3_K_L",
-                "3.8GB"
-            ],
-            [
-                "7b-q3_K_M",
-                "3.5GB"
-            ],
-            [
-                "7b-q3_K_S",
-                "3.2GB"
-            ],
-            [
-                "7b-q4_0",
-                "4.1GB"
-            ],
-            [
-                "7b-q4_1",
-                "4.6GB"
-            ],
-            [
-                "7b-q4_K_M",
-                "4.4GB"
-            ],
-            [
-                "7b-q4_K_S",
-                "4.1GB"
-            ],
-            [
-                "7b-q5_0",
-                "5.0GB"
-            ],
-            [
-                "7b-q5_1",
-                "5.4GB"
-            ],
-            [
-                "7b-q5_K_M",
-                "5.1GB"
-            ],
-            [
-                "7b-q5_K_S",
-                "5.0GB"
-            ],
-            [
-                "7b-q6_K",
-                "5.9GB"
-            ],
-            [
-                "7b-q8_0",
-                "7.7GB"
-            ]
-        ],
-        "image": false,
-        "author": "Open Orca"
-    },
     "orca-mini": {
         "url": "https://ollama.com/library/orca-mini",
         "description": "A general-purpose model ranging from 3 billion parameters to 70 billion, suitable for entry-level hardware.",
@@ -8167,30 +8223,6 @@
         "image": false,
         "author": "Orca Mini Team"
     },
-    "mxbai-embed-large": {
-        "url": "https://ollama.com/library/mxbai-embed-large",
-        "description": "State-of-the-art large embedding model from mixedbread.ai",
-        "tags": [
-            [
-                "latest",
-                "670MB"
-            ],
-            [
-                "335m",
-                "670MB"
-            ],
-            [
-                "v1",
-                "670MB"
-            ],
-            [
-                "335m-v1-fp16",
-                "670MB"
-            ]
-        ],
-        "image": false,
-        "author": "Mixedbread.ai"
-    },
     "dolphin-llama3": {
         "url": "https://ollama.com/library/dolphin-llama3",
         "description": "Dolphin 2.9 is a new model with 8B and 70B sizes by Eric Hartford based on Llama 3 that has a variety of instruction, conversational, and coding skills.",
@@ -8280,11 +8312,11 @@
                 "75GB"
             ],
             [
-                "8b-256k-v2.9",
+                "8b-256k",
                 "4.7GB"
             ],
             [
-                "8b-256k",
+                "8b-256k-v2.9",
                 "4.7GB"
             ],
             [
@@ -8415,6 +8447,106 @@
         "image": false,
         "author": "Eric Hartford"
     },
+    "mxbai-embed-large": {
+        "url": "https://ollama.com/library/mxbai-embed-large",
+        "description": "State-of-the-art large embedding model from mixedbread.ai",
+        "tags": [
+            [
+                "latest",
+                "670MB"
+            ],
+            [
+                "335m",
+                "670MB"
+            ],
+            [
+                "v1",
+                "670MB"
+            ],
+            [
+                "335m-v1-fp16",
+                "670MB"
+            ]
+        ],
+        "image": false,
+        "author": "Mixedbread.ai"
+    },
+    "mistral-openorca": {
+        "url": "https://ollama.com/library/mistral-openorca",
+        "description": "Mistral OpenOrca is a 7 billion parameter model, fine-tuned on top of the Mistral 7B model using the OpenOrca dataset.",
+        "tags": [
+            [
+                "latest",
+                "4.1GB"
+            ],
+            [
+                "7b",
+                "4.1GB"
+            ],
+            [
+                "7b-fp16",
+                "14GB"
+            ],
+            [
+                "7b-q2_K",
+                "3.1GB"
+            ],
+            [
+                "7b-q3_K_L",
+                "3.8GB"
+            ],
+            [
+                "7b-q3_K_M",
+                "3.5GB"
+            ],
+            [
+                "7b-q3_K_S",
+                "3.2GB"
+            ],
+            [
+                "7b-q4_0",
+                "4.1GB"
+            ],
+            [
+                "7b-q4_1",
+                "4.6GB"
+            ],
+            [
+                "7b-q4_K_M",
+                "4.4GB"
+            ],
+            [
+                "7b-q4_K_S",
+                "4.1GB"
+            ],
+            [
+                "7b-q5_0",
+                "5.0GB"
+            ],
+            [
+                "7b-q5_1",
+                "5.4GB"
+            ],
+            [
+                "7b-q5_K_M",
+                "5.1GB"
+            ],
+            [
+                "7b-q5_K_S",
+                "5.0GB"
+            ],
+            [
+                "7b-q6_K",
+                "5.9GB"
+            ],
+            [
+                "7b-q8_0",
+                "7.7GB"
+            ]
+        ],
+        "image": false,
+        "author": "Open Orca"
+    },
     "starcoder2": {
         "url": "https://ollama.com/library/starcoder2",
         "description": "StarCoder2 is the next generation of transparently trained open code LLMs that comes in three sizes: 3B, 7B and 15B parameters.",
@@ -8459,6 +8591,26 @@
                 "15b-instruct-v0.1-q3_K_M",
                 "8.0GB"
             ],
+            [
+                "15b-instruct-q4_0",
+                "9.1GB"
+            ],
+            [
+                "15b-instruct-v0.1-q4_K_S",
+                "9.2GB"
+            ],
+            [
+                "15b-instruct-v0.1-q4_1",
+                "10GB"
+            ],
+            [
+                "15b-instruct-v0.1-q5_0",
+                "11GB"
+            ],
+            [
+                "15b-instruct-v0.1-q8_0",
+                "17GB"
+            ],
             [
                 "15b-instruct-v0.1-q3_K_S",
                 "7.0GB"
@@ -8468,20 +8620,16 @@
                 "9.1GB"
             ],
             [
-                "15b-instruct-v0.1-q4_1",
-                "10GB"
+                "15b-instruct-v0.1-q5_K_S",
+                "11GB"
             ],
             [
                 "15b-instruct-v0.1-q4_K_M",
                 "9.9GB"
             ],
             [
-                "15b-instruct-v0.1-q4_K_S",
-                "9.2GB"
-            ],
-            [
-                "15b-instruct-v0.1-q5_0",
-                "11GB"
+                "15b-instruct-v0.1-q6_K",
+                "13GB"
             ],
             [
                 "15b-instruct-v0.1-q5_1",
@@ -8491,22 +8639,6 @@
                 "15b-instruct-v0.1-q5_K_M",
                 "11GB"
             ],
-            [
-                "15b-instruct-v0.1-q5_K_S",
-                "11GB"
-            ],
-            [
-                "15b-instruct-v0.1-q6_K",
-                "13GB"
-            ],
-            [
-                "15b-instruct-v0.1-q8_0",
-                "17GB"
-            ],
-            [
-                "15b-instruct-q4_0",
-                "9.1GB"
-            ],
             [
                 "15b-fp16",
                 "32GB"
@@ -8691,154 +8823,6 @@
         "image": false,
         "author": "BigCode"
     },
-    "llama2-chinese": {
-        "url": "https://ollama.com/library/llama2-chinese",
-        "description": "Llama 2 based model fine tuned to improve Chinese dialogue ability.",
-        "tags": [
-            [
-                "latest",
-                "3.8GB"
-            ],
-            [
-                "13b",
-                "7.4GB"
-            ],
-            [
-                "7b",
-                "3.8GB"
-            ],
-            [
-                "13b-chat",
-                "7.4GB"
-            ],
-            [
-                "13b-chat-fp16",
-                "26GB"
-            ],
-            [
-                "13b-chat-q2_K",
-                "5.4GB"
-            ],
-            [
-                "13b-chat-q3_K_L",
-                "6.9GB"
-            ],
-            [
-                "13b-chat-q3_K_M",
-                "6.3GB"
-            ],
-            [
-                "13b-chat-q3_K_S",
-                "5.7GB"
-            ],
-            [
-                "13b-chat-q4_0",
-                "7.4GB"
-            ],
-            [
-                "13b-chat-q4_1",
-                "8.2GB"
-            ],
-            [
-                "13b-chat-q4_K_M",
-                "7.9GB"
-            ],
-            [
-                "13b-chat-q4_K_S",
-                "7.4GB"
-            ],
-            [
-                "13b-chat-q5_0",
-                "9.0GB"
-            ],
-            [
-                "13b-chat-q5_1",
-                "9.8GB"
-            ],
-            [
-                "13b-chat-q5_K_M",
-                "9.2GB"
-            ],
-            [
-                "13b-chat-q5_K_S",
-                "9.0GB"
-            ],
-            [
-                "13b-chat-q6_K",
-                "11GB"
-            ],
-            [
-                "13b-chat-q8_0",
-                "14GB"
-            ],
-            [
-                "7b-chat",
-                "3.8GB"
-            ],
-            [
-                "7b-chat-fp16",
-                "13GB"
-            ],
-            [
-                "7b-chat-q2_K",
-                "2.8GB"
-            ],
-            [
-                "7b-chat-q3_K_L",
-                "3.6GB"
-            ],
-            [
-                "7b-chat-q3_K_M",
-                "3.3GB"
-            ],
-            [
-                "7b-chat-q3_K_S",
-                "2.9GB"
-            ],
-            [
-                "7b-chat-q4_0",
-                "3.8GB"
-            ],
-            [
-                "7b-chat-q4_1",
-                "4.2GB"
-            ],
-            [
-                "7b-chat-q4_K_M",
-                "4.1GB"
-            ],
-            [
-                "7b-chat-q4_K_S",
-                "3.9GB"
-            ],
-            [
-                "7b-chat-q5_0",
-                "4.7GB"
-            ],
-            [
-                "7b-chat-q5_1",
-                "5.1GB"
-            ],
-            [
-                "7b-chat-q5_K_M",
-                "4.8GB"
-            ],
-            [
-                "7b-chat-q5_K_S",
-                "4.7GB"
-            ],
-            [
-                "7b-chat-q6_K",
-                "5.5GB"
-            ],
-            [
-                "7b-chat-q8_0",
-                "7.2GB"
-            ]
-        ],
-        "image": false,
-        "author": "Meta"
-    },
     "zephyr": {
         "url": "https://ollama.com/library/zephyr",
         "description": "Zephyr is a series of fine-tuned versions of the Mistral and Mixtral models that are trained to act as helpful assistants.",
@@ -9060,7 +9044,35 @@
                 "19GB"
             ],
             [
-                "34b-chat-v1.5-q4_1",
+                "34b-chat-q5_K_S",
+                "24GB"
+            ],
+            [
+                "34b-chat-v1.5-q8_0",
+                "37GB"
+            ],
+            [
+                "34b-chat-v1.5-q5_K_M",
+                "24GB"
+            ],
+            [
+                "34b-chat-q4_K_M",
+                "21GB"
+            ],
+            [
+                "34b-chat-q5_0",
+                "24GB"
+            ],
+            [
+                "34b-chat-q2_K",
+                "15GB"
+            ],
+            [
+                "34b-chat-q3_K_L",
+                "18GB"
+            ],
+            [
+                "34b-chat-q4_1",
                 "22GB"
             ],
             [
@@ -9068,71 +9080,15 @@
                 "21GB"
             ],
             [
-                "34b-chat-v1.5-q4_K_S",
-                "20GB"
-            ],
-            [
-                "34b-chat-v1.5-q5_0",
-                "24GB"
-            ],
-            [
-                "34b-chat-v1.5-q5_1",
-                "26GB"
-            ],
-            [
-                "34b-chat-v1.5-q5_K_M",
-                "24GB"
+                "34b-chat-fp16",
+                "69GB"
             ],
             [
                 "34b-chat-v1.5-q5_K_S",
                 "24GB"
             ],
             [
-                "34b-chat-q4_K_S",
-                "20GB"
-            ],
-            [
-                "34b-chat-q4_1",
-                "22GB"
-            ],
-            [
-                "34b-chat-fp16",
-                "69GB"
-            ],
-            [
-                "34b-chat-q3_K_M",
-                "17GB"
-            ],
-            [
-                "34b-chat-q3_K_L",
-                "18GB"
-            ],
-            [
-                "34b-chat-q4_0",
-                "19GB"
-            ],
-            [
-                "34b-chat-q3_K_S",
-                "15GB"
-            ],
-            [
-                "34b-chat-q4_K_M",
-                "21GB"
-            ],
-            [
-                "34b-chat-v1.5-q6_K",
-                "28GB"
-            ],
-            [
-                "34b-chat-v1.5-q8_0",
-                "37GB"
-            ],
-            [
-                "34b-chat-q2_K",
-                "15GB"
-            ],
-            [
-                "34b-chat-q5_0",
+                "34b-chat-v1.5-q5_0",
                 "24GB"
             ],
             [
@@ -9144,8 +9100,36 @@
                 "24GB"
             ],
             [
-                "34b-chat-q5_K_S",
-                "24GB"
+                "34b-chat-q3_K_M",
+                "17GB"
+            ],
+            [
+                "34b-chat-q4_K_S",
+                "20GB"
+            ],
+            [
+                "34b-chat-v1.5-q4_1",
+                "22GB"
+            ],
+            [
+                "34b-chat-q3_K_S",
+                "15GB"
+            ],
+            [
+                "34b-chat-v1.5-q5_1",
+                "26GB"
+            ],
+            [
+                "34b-chat-q4_0",
+                "19GB"
+            ],
+            [
+                "34b-chat-v1.5-q4_K_S",
+                "20GB"
+            ],
+            [
+                "34b-chat-v1.5-q6_K",
+                "28GB"
             ],
             [
                 "34b-chat-q6_K",
@@ -9223,62 +9207,6 @@
                 "9b-chat",
                 "5.0GB"
             ],
-            [
-                "9b-v1.5",
-                "5.0GB"
-            ],
-            [
-                "6b-200k",
-                "3.5GB"
-            ],
-            [
-                "34b-q2_K",
-                "15GB"
-            ],
-            [
-                "34b-q3_K_L",
-                "18GB"
-            ],
-            [
-                "34b-q3_K_M",
-                "17GB"
-            ],
-            [
-                "34b-q3_K_S",
-                "15GB"
-            ],
-            [
-                "34b-q4_0",
-                "19GB"
-            ],
-            [
-                "34b-q4_1",
-                "22GB"
-            ],
-            [
-                "34b-q4_K_M",
-                "21GB"
-            ],
-            [
-                "34b-q4_K_S",
-                "20GB"
-            ],
-            [
-                "34b-q5_0",
-                "24GB"
-            ],
-            [
-                "34b-q5_1",
-                "26GB"
-            ],
-            [
-                "34b-q5_K_S",
-                "24GB"
-            ],
-            [
-                "34b-q6_K",
-                "28GB"
-            ],
             [
                 "9b-chat-v1.5-fp16",
                 "18GB"
@@ -9339,6 +9267,10 @@
                 "9b-chat-v1.5-q8_0",
                 "9.4GB"
             ],
+            [
+                "9b-v1.5",
+                "5.0GB"
+            ],
             [
                 "9b-v1.5-fp16",
                 "18GB"
@@ -9399,6 +9331,58 @@
                 "9b-v1.5-q8_0",
                 "9.4GB"
             ],
+            [
+                "6b-200k",
+                "3.5GB"
+            ],
+            [
+                "34b-q2_K",
+                "15GB"
+            ],
+            [
+                "34b-q3_K_L",
+                "18GB"
+            ],
+            [
+                "34b-q3_K_M",
+                "17GB"
+            ],
+            [
+                "34b-q3_K_S",
+                "15GB"
+            ],
+            [
+                "34b-q4_0",
+                "19GB"
+            ],
+            [
+                "34b-q4_1",
+                "22GB"
+            ],
+            [
+                "34b-q4_K_M",
+                "21GB"
+            ],
+            [
+                "34b-q4_K_S",
+                "20GB"
+            ],
+            [
+                "34b-q5_0",
+                "24GB"
+            ],
+            [
+                "34b-q5_1",
+                "26GB"
+            ],
+            [
+                "34b-q5_K_S",
+                "24GB"
+            ],
+            [
+                "34b-q6_K",
+                "28GB"
+            ],
             [
                 "6b-200k-fp16",
                 "12GB"
@@ -9463,6 +9447,66 @@
                 "6b-chat",
                 "3.5GB"
             ],
+            [
+                "6b-chat-v1.5-fp16",
+                "12GB"
+            ],
+            [
+                "6b-chat-v1.5-q2_K",
+                "2.3GB"
+            ],
+            [
+                "6b-chat-v1.5-q3_K_L",
+                "3.2GB"
+            ],
+            [
+                "6b-chat-v1.5-q3_K_M",
+                "3.0GB"
+            ],
+            [
+                "6b-chat-v1.5-q3_K_S",
+                "2.7GB"
+            ],
+            [
+                "6b-chat-v1.5-q4_0",
+                "3.5GB"
+            ],
+            [
+                "6b-chat-v1.5-q4_1",
+                "3.8GB"
+            ],
+            [
+                "6b-chat-v1.5-q4_K_M",
+                "3.7GB"
+            ],
+            [
+                "6b-chat-q4_0",
+                "3.5GB"
+            ],
+            [
+                "6b-chat-v1.5-q8_0",
+                "6.4GB"
+            ],
+            [
+                "6b-chat-q3_K_L",
+                "3.2GB"
+            ],
+            [
+                "6b-chat-v1.5-q5_K_S",
+                "4.2GB"
+            ],
+            [
+                "6b-chat-v1.5-q4_K_S",
+                "3.5GB"
+            ],
+            [
+                "6b-chat-v1.5-q5_K_M",
+                "4.3GB"
+            ],
+            [
+                "6b-chat-v1.5-q5_1",
+                "4.6GB"
+            ],
             [
                 "6b-chat-fp16",
                 "12GB"
@@ -9471,33 +9515,33 @@
                 "6b-chat-q2_K",
                 "2.6GB"
             ],
-            [
-                "6b-chat-q3_K_L",
-                "3.2GB"
-            ],
             [
                 "6b-chat-q3_K_M",
                 "3.0GB"
             ],
+            [
+                "6b-chat-v1.5-q6_K",
+                "5.0GB"
+            ],
             [
                 "6b-chat-q3_K_S",
                 "2.7GB"
             ],
             [
-                "6b-chat-q4_0",
-                "3.5GB"
+                "6b-chat-v1.5-q5_0",
+                "4.2GB"
             ],
             [
-                "6b-chat-q4_1",
-                "3.8GB"
+                "6b-chat-q4_K_S",
+                "3.5GB"
             ],
             [
                 "6b-chat-q4_K_M",
                 "3.7GB"
             ],
             [
-                "6b-chat-q4_K_S",
-                "3.5GB"
+                "6b-chat-q4_1",
+                "3.8GB"
             ],
             [
                 "6b-chat-q5_0",
@@ -9508,79 +9552,19 @@
                 "4.6GB"
             ],
             [
-                "6b-chat-v1.5-q4_K_M",
-                "3.7GB"
+                "6b-chat-q5_K_M",
+                "4.3GB"
             ],
             [
                 "6b-chat-q5_K_S",
                 "4.2GB"
             ],
-            [
-                "6b-chat-q5_K_M",
-                "4.3GB"
-            ],
-            [
-                "6b-chat-v1.5-fp16",
-                "12GB"
-            ],
-            [
-                "6b-chat-v1.5-q4_1",
-                "3.8GB"
-            ],
-            [
-                "6b-chat-v1.5-q2_K",
-                "2.3GB"
-            ],
-            [
-                "6b-chat-v1.5-q3_K_S",
-                "2.7GB"
-            ],
-            [
-                "6b-chat-q8_0",
-                "6.4GB"
-            ],
-            [
-                "6b-chat-v1.5-q4_0",
-                "3.5GB"
-            ],
-            [
-                "6b-chat-v1.5-q3_K_M",
-                "3.0GB"
-            ],
-            [
-                "6b-chat-v1.5-q3_K_L",
-                "3.2GB"
-            ],
             [
                 "6b-chat-q6_K",
                 "5.0GB"
             ],
             [
-                "6b-chat-v1.5-q4_K_S",
-                "3.5GB"
-            ],
-            [
-                "6b-chat-v1.5-q5_0",
-                "4.2GB"
-            ],
-            [
-                "6b-chat-v1.5-q5_1",
-                "4.6GB"
-            ],
-            [
-                "6b-chat-v1.5-q5_K_M",
-                "4.3GB"
-            ],
-            [
-                "6b-chat-v1.5-q5_K_S",
-                "4.2GB"
-            ],
-            [
-                "6b-chat-v1.5-q6_K",
-                "5.0GB"
-            ],
-            [
-                "6b-chat-v1.5-q8_0",
+                "6b-chat-q8_0",
                 "6.4GB"
             ],
             [
@@ -9711,6 +9695,630 @@
         "image": false,
         "author": "01.AI"
     },
+    "llama2-chinese": {
+        "url": "https://ollama.com/library/llama2-chinese",
+        "description": "Llama 2 based model fine tuned to improve Chinese dialogue ability.",
+        "tags": [
+            [
+                "latest",
+                "3.8GB"
+            ],
+            [
+                "13b",
+                "7.4GB"
+            ],
+            [
+                "7b",
+                "3.8GB"
+            ],
+            [
+                "13b-chat",
+                "7.4GB"
+            ],
+            [
+                "13b-chat-fp16",
+                "26GB"
+            ],
+            [
+                "13b-chat-q2_K",
+                "5.4GB"
+            ],
+            [
+                "13b-chat-q3_K_L",
+                "6.9GB"
+            ],
+            [
+                "13b-chat-q3_K_M",
+                "6.3GB"
+            ],
+            [
+                "13b-chat-q3_K_S",
+                "5.7GB"
+            ],
+            [
+                "13b-chat-q4_0",
+                "7.4GB"
+            ],
+            [
+                "13b-chat-q4_1",
+                "8.2GB"
+            ],
+            [
+                "13b-chat-q4_K_M",
+                "7.9GB"
+            ],
+            [
+                "13b-chat-q4_K_S",
+                "7.4GB"
+            ],
+            [
+                "13b-chat-q5_0",
+                "9.0GB"
+            ],
+            [
+                "13b-chat-q5_1",
+                "9.8GB"
+            ],
+            [
+                "13b-chat-q5_K_M",
+                "9.2GB"
+            ],
+            [
+                "13b-chat-q5_K_S",
+                "9.0GB"
+            ],
+            [
+                "13b-chat-q6_K",
+                "11GB"
+            ],
+            [
+                "13b-chat-q8_0",
+                "14GB"
+            ],
+            [
+                "7b-chat",
+                "3.8GB"
+            ],
+            [
+                "7b-chat-fp16",
+                "13GB"
+            ],
+            [
+                "7b-chat-q2_K",
+                "2.8GB"
+            ],
+            [
+                "7b-chat-q3_K_L",
+                "3.6GB"
+            ],
+            [
+                "7b-chat-q3_K_M",
+                "3.3GB"
+            ],
+            [
+                "7b-chat-q3_K_S",
+                "2.9GB"
+            ],
+            [
+                "7b-chat-q4_0",
+                "3.8GB"
+            ],
+            [
+                "7b-chat-q4_1",
+                "4.2GB"
+            ],
+            [
+                "7b-chat-q4_K_M",
+                "4.1GB"
+            ],
+            [
+                "7b-chat-q4_K_S",
+                "3.9GB"
+            ],
+            [
+                "7b-chat-q5_0",
+                "4.7GB"
+            ],
+            [
+                "7b-chat-q5_1",
+                "5.1GB"
+            ],
+            [
+                "7b-chat-q5_K_M",
+                "4.8GB"
+            ],
+            [
+                "7b-chat-q5_K_S",
+                "4.7GB"
+            ],
+            [
+                "7b-chat-q6_K",
+                "5.5GB"
+            ],
+            [
+                "7b-chat-q8_0",
+                "7.2GB"
+            ]
+        ],
+        "image": false,
+        "author": "Meta"
+    },
+    "llava-llama3": {
+        "url": "https://ollama.com/library/llava-llama3",
+        "description": "A LLaVA model fine-tuned from Llama 3 Instruct with better scores in several benchmarks.",
+        "tags": [
+            [
+                "latest",
+                "5.5GB"
+            ],
+            [
+                "8b",
+                "5.5GB"
+            ],
+            [
+                "8b-v1.1-fp16",
+                "17GB"
+            ],
+            [
+                "8b-v1.1-q4_0",
+                "5.5GB"
+            ]
+        ],
+        "image": true,
+        "author": "Xtuner"
+    },
+    "vicuna": {
+        "url": "https://ollama.com/library/vicuna",
+        "description": "General use chat model based on Llama and Llama 2 with 2K to 16K context sizes.",
+        "tags": [
+            [
+                "latest",
+                "3.8GB"
+            ],
+            [
+                "33b",
+                "18GB"
+            ],
+            [
+                "13b",
+                "7.4GB"
+            ],
+            [
+                "7b",
+                "3.8GB"
+            ],
+            [
+                "13b-16k",
+                "7.4GB"
+            ],
+            [
+                "33b-fp16",
+                "65GB"
+            ],
+            [
+                "33b-q2_K",
+                "14GB"
+            ],
+            [
+                "33b-q3_K_L",
+                "17GB"
+            ],
+            [
+                "33b-q3_K_M",
+                "16GB"
+            ],
+            [
+                "33b-q3_K_S",
+                "14GB"
+            ],
+            [
+                "33b-q4_0",
+                "18GB"
+            ],
+            [
+                "33b-q4_1",
+                "20GB"
+            ],
+            [
+                "33b-q4_K_M",
+                "20GB"
+            ],
+            [
+                "33b-q4_K_S",
+                "18GB"
+            ],
+            [
+                "33b-q5_0",
+                "22GB"
+            ],
+            [
+                "33b-q5_1",
+                "24GB"
+            ],
+            [
+                "33b-q5_K_M",
+                "23GB"
+            ],
+            [
+                "33b-q5_K_S",
+                "22GB"
+            ],
+            [
+                "33b-q6_K",
+                "27GB"
+            ],
+            [
+                "33b-q8_0",
+                "35GB"
+            ],
+            [
+                "13b-v1.5-16k-fp16",
+                "26GB"
+            ],
+            [
+                "13b-v1.5-16k-q2_K",
+                "5.4GB"
+            ],
+            [
+                "13b-v1.5-16k-q3_K_L",
+                "6.9GB"
+            ],
+            [
+                "13b-v1.5-16k-q3_K_M",
+                "6.3GB"
+            ],
+            [
+                "13b-v1.5-16k-q3_K_S",
+                "5.7GB"
+            ],
+            [
+                "13b-v1.5-16k-q4_0",
+                "7.4GB"
+            ],
+            [
+                "13b-v1.5-16k-q4_1",
+                "8.2GB"
+            ],
+            [
+                "13b-v1.5-16k-q4_K_M",
+                "7.9GB"
+            ],
+            [
+                "13b-v1.5-16k-q4_K_S",
+                "7.4GB"
+            ],
+            [
+                "13b-v1.5-16k-q5_0",
+                "9.0GB"
+            ],
+            [
+                "13b-v1.5-16k-q5_1",
+                "9.8GB"
+            ],
+            [
+                "13b-v1.5-16k-q5_K_M",
+                "9.2GB"
+            ],
+            [
+                "13b-v1.5-16k-q5_K_S",
+                "9.0GB"
+            ],
+            [
+                "13b-v1.5-16k-q6_K",
+                "11GB"
+            ],
+            [
+                "13b-v1.5-q4_K_S",
+                "7.4GB"
+            ],
+            [
+                "13b-v1.5-q3_K_S",
+                "5.7GB"
+            ],
+            [
+                "13b-v1.5-q4_K_M",
+                "7.9GB"
+            ],
+            [
+                "13b-v1.5-q3_K_M",
+                "6.3GB"
+            ],
+            [
+                "13b-v1.5-16k-q8_0",
+                "14GB"
+            ],
+            [
+                "13b-v1.5-q3_K_L",
+                "6.9GB"
+            ],
+            [
+                "13b-v1.5-q2_K",
+                "5.4GB"
+            ],
+            [
+                "13b-v1.5-q4_0",
+                "7.4GB"
+            ],
+            [
+                "13b-v1.5-q4_1",
+                "8.2GB"
+            ],
+            [
+                "13b-v1.5-fp16",
+                "26GB"
+            ],
+            [
+                "13b-v1.5-q5_0",
+                "9.0GB"
+            ],
+            [
+                "13b-v1.5-q5_1",
+                "9.8GB"
+            ],
+            [
+                "13b-v1.5-q5_K_M",
+                "9.2GB"
+            ],
+            [
+                "13b-v1.5-q5_K_S",
+                "9.0GB"
+            ],
+            [
+                "13b-v1.5-q6_K",
+                "11GB"
+            ],
+            [
+                "13b-v1.5-q8_0",
+                "14GB"
+            ],
+            [
+                "7b-16k",
+                "3.8GB"
+            ],
+            [
+                "13b-fp16",
+                "26GB"
+            ],
+            [
+                "13b-q2_K",
+                "5.4GB"
+            ],
+            [
+                "13b-q3_K_L",
+                "6.9GB"
+            ],
+            [
+                "13b-q3_K_M",
+                "6.3GB"
+            ],
+            [
+                "13b-q3_K_S",
+                "5.7GB"
+            ],
+            [
+                "13b-q4_0",
+                "7.4GB"
+            ],
+            [
+                "13b-q4_1",
+                "8.2GB"
+            ],
+            [
+                "13b-q4_K_M",
+                "7.9GB"
+            ],
+            [
+                "13b-q4_K_S",
+                "7.4GB"
+            ],
+            [
+                "13b-q5_0",
+                "9.0GB"
+            ],
+            [
+                "13b-q5_1",
+                "9.8GB"
+            ],
+            [
+                "13b-q5_K_M",
+                "9.2GB"
+            ],
+            [
+                "13b-q5_K_S",
+                "9.0GB"
+            ],
+            [
+                "13b-q6_K",
+                "11GB"
+            ],
+            [
+                "13b-q8_0",
+                "14GB"
+            ],
+            [
+                "7b-v1.5-fp16",
+                "13GB"
+            ],
+            [
+                "7b-v1.5-q2_K",
+                "2.8GB"
+            ],
+            [
+                "7b-v1.5-q3_K_L",
+                "3.6GB"
+            ],
+            [
+                "7b-v1.5-q3_K_M",
+                "3.3GB"
+            ],
+            [
+                "7b-v1.5-q3_K_S",
+                "2.9GB"
+            ],
+            [
+                "7b-v1.5-q4_0",
+                "3.8GB"
+            ],
+            [
+                "7b-v1.5-q4_1",
+                "4.2GB"
+            ],
+            [
+                "7b-v1.5-q4_K_M",
+                "4.1GB"
+            ],
+            [
+                "7b-v1.5-q4_K_S",
+                "3.9GB"
+            ],
+            [
+                "7b-v1.5-q5_0",
+                "4.7GB"
+            ],
+            [
+                "7b-v1.5-16k-q8_0",
+                "7.2GB"
+            ],
+            [
+                "7b-v1.5-q5_1",
+                "5.1GB"
+            ],
+            [
+                "7b-v1.5-16k-q3_K_L",
+                "3.6GB"
+            ],
+            [
+                "7b-v1.5-q6_K",
+                "5.5GB"
+            ],
+            [
+                "7b-v1.5-16k-q3_K_S",
+                "2.9GB"
+            ],
+            [
+                "7b-v1.5-16k-q4_1",
+                "4.2GB"
+            ],
+            [
+                "7b-v1.5-q8_0",
+                "7.2GB"
+            ],
+            [
+                "7b-v1.5-16k-q5_K_S",
+                "4.7GB"
+            ],
+            [
+                "7b-v1.5-16k-q2_K",
+                "2.8GB"
+            ],
+            [
+                "7b-v1.5-q5_K_S",
+                "4.7GB"
+            ],
+            [
+                "7b-v1.5-16k-q3_K_M",
+                "3.3GB"
+            ],
+            [
+                "7b-v1.5-16k-q5_K_M",
+                "4.8GB"
+            ],
+            [
+                "7b-v1.5-16k-q6_K",
+                "5.5GB"
+            ],
+            [
+                "7b-v1.5-16k-q4_K_M",
+                "4.1GB"
+            ],
+            [
+                "7b-v1.5-16k-q4_K_S",
+                "3.9GB"
+            ],
+            [
+                "7b-v1.5-q5_K_M",
+                "4.8GB"
+            ],
+            [
+                "7b-v1.5-16k-fp16",
+                "13GB"
+            ],
+            [
+                "7b-v1.5-16k-q4_0",
+                "3.8GB"
+            ],
+            [
+                "7b-v1.5-16k-q5_0",
+                "4.7GB"
+            ],
+            [
+                "7b-v1.5-16k-q5_1",
+                "5.1GB"
+            ],
+            [
+                "7b-fp16",
+                "13GB"
+            ],
+            [
+                "7b-q2_K",
+                "2.8GB"
+            ],
+            [
+                "7b-q3_K_L",
+                "3.6GB"
+            ],
+            [
+                "7b-q3_K_M",
+                "3.3GB"
+            ],
+            [
+                "7b-q3_K_S",
+                "2.9GB"
+            ],
+            [
+                "7b-q4_0",
+                "3.8GB"
+            ],
+            [
+                "7b-q4_1",
+                "4.2GB"
+            ],
+            [
+                "7b-q4_K_M",
+                "4.1GB"
+            ],
+            [
+                "7b-q4_K_S",
+                "3.9GB"
+            ],
+            [
+                "7b-q5_0",
+                "4.7GB"
+            ],
+            [
+                "7b-q5_1",
+                "5.1GB"
+            ],
+            [
+                "7b-q5_K_M",
+                "4.8GB"
+            ],
+            [
+                "7b-q5_K_S",
+                "4.7GB"
+            ],
+            [
+                "7b-q6_K",
+                "5.5GB"
+            ],
+            [
+                "7b-q8_0",
+                "7.2GB"
+            ]
+        ],
+        "image": false,
+        "author": "lmsys.org"
+    },
     "nous-hermes2": {
         "url": "https://ollama.com/library/nous-hermes2",
         "description": "The powerful family of models by Nous Research that excels at scientific discussion and coding tasks.",
@@ -9851,458 +10459,6 @@
         "image": false,
         "author": "Nous Research"
     },
-    "vicuna": {
-        "url": "https://ollama.com/library/vicuna",
-        "description": "General use chat model based on Llama and Llama 2 with 2K to 16K context sizes.",
-        "tags": [
-            [
-                "latest",
-                "3.8GB"
-            ],
-            [
-                "33b",
-                "18GB"
-            ],
-            [
-                "13b",
-                "7.4GB"
-            ],
-            [
-                "7b",
-                "3.8GB"
-            ],
-            [
-                "13b-16k",
-                "7.4GB"
-            ],
-            [
-                "33b-fp16",
-                "65GB"
-            ],
-            [
-                "33b-q2_K",
-                "14GB"
-            ],
-            [
-                "33b-q3_K_L",
-                "17GB"
-            ],
-            [
-                "33b-q3_K_M",
-                "16GB"
-            ],
-            [
-                "33b-q3_K_S",
-                "14GB"
-            ],
-            [
-                "33b-q4_0",
-                "18GB"
-            ],
-            [
-                "33b-q4_1",
-                "20GB"
-            ],
-            [
-                "33b-q4_K_M",
-                "20GB"
-            ],
-            [
-                "33b-q4_K_S",
-                "18GB"
-            ],
-            [
-                "33b-q5_0",
-                "22GB"
-            ],
-            [
-                "33b-q5_1",
-                "24GB"
-            ],
-            [
-                "33b-q5_K_M",
-                "23GB"
-            ],
-            [
-                "33b-q5_K_S",
-                "22GB"
-            ],
-            [
-                "33b-q6_K",
-                "27GB"
-            ],
-            [
-                "33b-q8_0",
-                "35GB"
-            ],
-            [
-                "13b-v1.5-16k-fp16",
-                "26GB"
-            ],
-            [
-                "13b-v1.5-16k-q2_K",
-                "5.4GB"
-            ],
-            [
-                "13b-v1.5-16k-q3_K_L",
-                "6.9GB"
-            ],
-            [
-                "13b-v1.5-16k-q3_K_M",
-                "6.3GB"
-            ],
-            [
-                "13b-v1.5-16k-q3_K_S",
-                "5.7GB"
-            ],
-            [
-                "13b-v1.5-16k-q4_0",
-                "7.4GB"
-            ],
-            [
-                "13b-v1.5-16k-q4_1",
-                "8.2GB"
-            ],
-            [
-                "13b-v1.5-q3_K_L",
-                "6.9GB"
-            ],
-            [
-                "13b-v1.5-16k-q5_1",
-                "9.8GB"
-            ],
-            [
-                "13b-v1.5-16k-q5_0",
-                "9.0GB"
-            ],
-            [
-                "13b-v1.5-16k-q5_K_M",
-                "9.2GB"
-            ],
-            [
-                "13b-v1.5-16k-q4_K_M",
-                "7.9GB"
-            ],
-            [
-                "13b-v1.5-16k-q6_K",
-                "11GB"
-            ],
-            [
-                "13b-v1.5-16k-q8_0",
-                "14GB"
-            ],
-            [
-                "13b-v1.5-16k-q5_K_S",
-                "9.0GB"
-            ],
-            [
-                "13b-v1.5-fp16",
-                "26GB"
-            ],
-            [
-                "13b-v1.5-16k-q4_K_S",
-                "7.4GB"
-            ],
-            [
-                "13b-v1.5-q2_K",
-                "5.4GB"
-            ],
-            [
-                "13b-v1.5-q3_K_M",
-                "6.3GB"
-            ],
-            [
-                "13b-v1.5-q3_K_S",
-                "5.7GB"
-            ],
-            [
-                "13b-v1.5-q4_0",
-                "7.4GB"
-            ],
-            [
-                "13b-v1.5-q4_1",
-                "8.2GB"
-            ],
-            [
-                "13b-v1.5-q4_K_M",
-                "7.9GB"
-            ],
-            [
-                "13b-v1.5-q4_K_S",
-                "7.4GB"
-            ],
-            [
-                "13b-v1.5-q5_0",
-                "9.0GB"
-            ],
-            [
-                "13b-v1.5-q5_1",
-                "9.8GB"
-            ],
-            [
-                "13b-v1.5-q5_K_M",
-                "9.2GB"
-            ],
-            [
-                "13b-v1.5-q5_K_S",
-                "9.0GB"
-            ],
-            [
-                "13b-v1.5-q6_K",
-                "11GB"
-            ],
-            [
-                "13b-v1.5-q8_0",
-                "14GB"
-            ],
-            [
-                "7b-16k",
-                "3.8GB"
-            ],
-            [
-                "13b-fp16",
-                "26GB"
-            ],
-            [
-                "13b-q2_K",
-                "5.4GB"
-            ],
-            [
-                "13b-q3_K_L",
-                "6.9GB"
-            ],
-            [
-                "13b-q3_K_M",
-                "6.3GB"
-            ],
-            [
-                "13b-q3_K_S",
-                "5.7GB"
-            ],
-            [
-                "13b-q4_0",
-                "7.4GB"
-            ],
-            [
-                "13b-q4_1",
-                "8.2GB"
-            ],
-            [
-                "13b-q4_K_M",
-                "7.9GB"
-            ],
-            [
-                "13b-q4_K_S",
-                "7.4GB"
-            ],
-            [
-                "13b-q5_0",
-                "9.0GB"
-            ],
-            [
-                "13b-q5_1",
-                "9.8GB"
-            ],
-            [
-                "13b-q5_K_M",
-                "9.2GB"
-            ],
-            [
-                "13b-q5_K_S",
-                "9.0GB"
-            ],
-            [
-                "13b-q6_K",
-                "11GB"
-            ],
-            [
-                "13b-q8_0",
-                "14GB"
-            ],
-            [
-                "7b-v1.5-16k-fp16",
-                "13GB"
-            ],
-            [
-                "7b-v1.5-16k-q2_K",
-                "2.8GB"
-            ],
-            [
-                "7b-v1.5-16k-q3_K_L",
-                "3.6GB"
-            ],
-            [
-                "7b-v1.5-16k-q3_K_M",
-                "3.3GB"
-            ],
-            [
-                "7b-v1.5-16k-q3_K_S",
-                "2.9GB"
-            ],
-            [
-                "7b-v1.5-16k-q4_0",
-                "3.8GB"
-            ],
-            [
-                "7b-v1.5-16k-q4_1",
-                "4.2GB"
-            ],
-            [
-                "7b-v1.5-16k-q4_K_M",
-                "4.1GB"
-            ],
-            [
-                "7b-v1.5-16k-q4_K_S",
-                "3.9GB"
-            ],
-            [
-                "7b-v1.5-16k-q5_0",
-                "4.7GB"
-            ],
-            [
-                "7b-v1.5-16k-q5_1",
-                "5.1GB"
-            ],
-            [
-                "7b-v1.5-16k-q5_K_M",
-                "4.8GB"
-            ],
-            [
-                "7b-v1.5-16k-q5_K_S",
-                "4.7GB"
-            ],
-            [
-                "7b-v1.5-16k-q6_K",
-                "5.5GB"
-            ],
-            [
-                "7b-v1.5-16k-q8_0",
-                "7.2GB"
-            ],
-            [
-                "7b-v1.5-q4_0",
-                "3.8GB"
-            ],
-            [
-                "7b-v1.5-q3_K_L",
-                "3.6GB"
-            ],
-            [
-                "7b-v1.5-fp16",
-                "13GB"
-            ],
-            [
-                "7b-v1.5-q3_K_S",
-                "2.9GB"
-            ],
-            [
-                "7b-v1.5-q2_K",
-                "2.8GB"
-            ],
-            [
-                "7b-v1.5-q3_K_M",
-                "3.3GB"
-            ],
-            [
-                "7b-v1.5-q4_1",
-                "4.2GB"
-            ],
-            [
-                "7b-v1.5-q4_K_M",
-                "4.1GB"
-            ],
-            [
-                "7b-v1.5-q4_K_S",
-                "3.9GB"
-            ],
-            [
-                "7b-v1.5-q5_0",
-                "4.7GB"
-            ],
-            [
-                "7b-v1.5-q5_1",
-                "5.1GB"
-            ],
-            [
-                "7b-v1.5-q5_K_M",
-                "4.8GB"
-            ],
-            [
-                "7b-v1.5-q5_K_S",
-                "4.7GB"
-            ],
-            [
-                "7b-v1.5-q6_K",
-                "5.5GB"
-            ],
-            [
-                "7b-v1.5-q8_0",
-                "7.2GB"
-            ],
-            [
-                "7b-fp16",
-                "13GB"
-            ],
-            [
-                "7b-q2_K",
-                "2.8GB"
-            ],
-            [
-                "7b-q3_K_L",
-                "3.6GB"
-            ],
-            [
-                "7b-q3_K_M",
-                "3.3GB"
-            ],
-            [
-                "7b-q3_K_S",
-                "2.9GB"
-            ],
-            [
-                "7b-q4_0",
-                "3.8GB"
-            ],
-            [
-                "7b-q4_1",
-                "4.2GB"
-            ],
-            [
-                "7b-q4_K_M",
-                "4.1GB"
-            ],
-            [
-                "7b-q4_K_S",
-                "3.9GB"
-            ],
-            [
-                "7b-q5_0",
-                "4.7GB"
-            ],
-            [
-                "7b-q5_1",
-                "5.1GB"
-            ],
-            [
-                "7b-q5_K_M",
-                "4.8GB"
-            ],
-            [
-                "7b-q5_K_S",
-                "4.7GB"
-            ],
-            [
-                "7b-q6_K",
-                "5.5GB"
-            ],
-            [
-                "7b-q8_0",
-                "7.2GB"
-            ]
-        ],
-        "image": false,
-        "author": "lmsys.org"
-    },
     "wizard-vicuna-uncensored": {
         "url": "https://ollama.com/library/wizard-vicuna-uncensored",
         "description": "Wizard Vicuna Uncensored is a 7B, 13B, and 30B parameter model based on Llama 2 uncensored by Eric Hartford.",
@@ -10659,101 +10815,85 @@
         "image": false,
         "author": "TinyLlama Team"
     },
-    "wizardlm2": {
-        "url": "https://ollama.com/library/wizardlm2",
-        "description": "State of the art large language model from Microsoft AI with improved performance on complex chat, multilingual, reasoning and agent use cases.",
+    "codestral": {
+        "url": "https://ollama.com/library/codestral",
+        "description": "Codestral is Mistral AI\u2019s first-ever code model designed for code generation tasks.",
         "tags": [
             [
                 "latest",
-                "4.1GB"
+                "13GB"
             ],
             [
-                "8x22b",
-                "80GB"
+                "22b",
+                "13GB"
             ],
             [
-                "7b",
-                "4.1GB"
+                "v0.1",
+                "13GB"
             ],
             [
-                "8x22b-fp16",
-                "281GB"
+                "22b-v0.1-f16",
+                "44GB"
             ],
             [
-                "8x22b-q2_K",
-                "52GB"
+                "22b-v0.1-q2_K",
+                "8.3GB"
             ],
             [
-                "8x22b-q4_0",
-                "80GB"
+                "22b-v0.1-q3_K_L",
+                "12GB"
             ],
             [
-                "8x22b-q8_0",
-                "149GB"
+                "22b-v0.1-q3_K_M",
+                "11GB"
             ],
             [
-                "7b-fp16",
+                "22b-v0.1-q3_K_S",
+                "9.6GB"
+            ],
+            [
+                "22b-v0.1-q4_0",
+                "13GB"
+            ],
+            [
+                "22b-v0.1-q4_1",
                 "14GB"
             ],
             [
-                "7b-q2_K",
-                "2.7GB"
+                "22b-v0.1-q4_K_M",
+                "13GB"
             ],
             [
-                "7b-q3_K_L",
-                "3.8GB"
+                "22b-v0.1-q4_K_S",
+                "13GB"
             ],
             [
-                "7b-q3_K_M",
-                "3.5GB"
+                "22b-v0.1-q5_0",
+                "15GB"
             ],
             [
-                "7b-q3_K_S",
-                "3.2GB"
+                "22b-v0.1-q5_1",
+                "17GB"
             ],
             [
-                "7b-q4_0",
-                "4.1GB"
+                "22b-v0.1-q5_K_M",
+                "16GB"
             ],
             [
-                "7b-q4_1",
-                "4.6GB"
+                "22b-v0.1-q5_K_S",
+                "15GB"
             ],
             [
-                "7b-q4_K_M",
-                "4.4GB"
+                "22b-v0.1-q6_K",
+                "18GB"
             ],
             [
-                "7b-q4_K_S",
-                "4.1GB"
-            ],
-            [
-                "7b-q5_0",
-                "5.0GB"
-            ],
-            [
-                "7b-q5_1",
-                "5.4GB"
-            ],
-            [
-                "7b-q5_K_M",
-                "5.1GB"
-            ],
-            [
-                "7b-q5_K_S",
-                "5.0GB"
-            ],
-            [
-                "7b-q6_K",
-                "5.9GB"
-            ],
-            [
-                "7b-q8_0",
-                "7.7GB"
+                "22b-v0.1-q8_0",
+                "24GB"
             ]
         ],
         "image": false,
-        "author": "Microsoft"
+        "author": "Mistral AI"
     },
     "starcoder": {
         "url": "https://ollama.com/library/starcoder",
@@ -10911,6 +11051,10 @@
                 "7b-base",
                 "4.3GB"
             ],
+            [
+                "3b-base",
+                "1.8GB"
+            ],
             [
                 "15b-fp16",
                 "32GB"
@@ -11031,10 +11175,6 @@
                 "7b-base-q8_0",
                 "8.0GB"
             ],
-            [
-                "3b-base",
-                "1.8GB"
-            ],
             [
                 "3b-base-fp16",
                 "6.4GB"
@@ -11163,85 +11303,101 @@
         "image": false,
         "author": "BigCode"
     },
-    "codestral": {
-        "url": "https://ollama.com/library/codestral",
-        "description": "Codestral is Mistral AI\u2019s first-ever code model designed for code generation tasks.",
+    "wizardlm2": {
+        "url": "https://ollama.com/library/wizardlm2",
+        "description": "State of the art large language model from Microsoft AI with improved performance on complex chat, multilingual, reasoning and agent use cases.",
         "tags": [
             [
                 "latest",
-                "13GB"
+                "4.1GB"
             ],
             [
-                "22b",
-                "13GB"
+                "8x22b",
+                "80GB"
             ],
             [
-                "v0.1",
-                "13GB"
+                "7b",
+                "4.1GB"
             ],
             [
-                "22b-v0.1-f16",
-                "44GB"
+                "8x22b-fp16",
+                "281GB"
             ],
             [
-                "22b-v0.1-q2_K",
-                "8.3GB"
+                "8x22b-q2_K",
+                "52GB"
             ],
             [
-                "22b-v0.1-q3_K_L",
-                "12GB"
+                "8x22b-q4_0",
+                "80GB"
             ],
             [
-                "22b-v0.1-q3_K_M",
-                "11GB"
+                "8x22b-q8_0",
+                "149GB"
             ],
             [
-                "22b-v0.1-q3_K_S",
-                "9.6GB"
-            ],
-            [
-                "22b-v0.1-q4_0",
-                "13GB"
-            ],
-            [
-                "22b-v0.1-q4_1",
+                "7b-fp16",
                 "14GB"
             ],
             [
-                "22b-v0.1-q4_K_M",
-                "13GB"
+                "7b-q2_K",
+                "2.7GB"
             ],
             [
-                "22b-v0.1-q4_K_S",
-                "13GB"
+                "7b-q3_K_L",
+                "3.8GB"
             ],
             [
-                "22b-v0.1-q5_0",
-                "15GB"
+                "7b-q3_K_M",
+                "3.5GB"
             ],
             [
-                "22b-v0.1-q5_1",
-                "17GB"
+                "7b-q3_K_S",
+                "3.2GB"
             ],
             [
-                "22b-v0.1-q5_K_M",
-                "16GB"
+                "7b-q4_0",
+                "4.1GB"
             ],
             [
-                "22b-v0.1-q5_K_S",
-                "15GB"
+                "7b-q4_1",
+                "4.6GB"
             ],
             [
-                "22b-v0.1-q6_K",
-                "18GB"
+                "7b-q4_K_M",
+                "4.4GB"
             ],
             [
-                "22b-v0.1-q8_0",
-                "24GB"
+                "7b-q4_K_S",
+                "4.1GB"
+            ],
+            [
+                "7b-q5_0",
+                "5.0GB"
+            ],
+            [
+                "7b-q5_1",
+                "5.4GB"
+            ],
+            [
+                "7b-q5_K_M",
+                "5.1GB"
+            ],
+            [
+                "7b-q5_K_S",
+                "5.0GB"
+            ],
+            [
+                "7b-q6_K",
+                "5.9GB"
+            ],
+            [
+                "7b-q8_0",
+                "7.7GB"
             ]
         ],
         "image": false,
-        "author": "Mistral AI"
+        "author": "Microsoft"
     },
     "openchat": {
         "url": "https://ollama.com/library/openchat",
@@ -11256,11 +11412,11 @@
                 "4.1GB"
             ],
             [
-                "7b-v3.5-0106",
+                "7b-v3.5",
                 "4.1GB"
             ],
             [
-                "7b-v3.5",
+                "7b-v3.5-0106",
                 "4.1GB"
             ],
             [
@@ -11327,89 +11483,13 @@
                 "7b-v3.5-0106-q8_0",
                 "7.7GB"
             ],
-            [
-                "7b-v3.5-q6_K",
-                "5.9GB"
-            ],
-            [
-                "7b-v3.5-1210-q2_K",
-                "3.1GB"
-            ],
-            [
-                "7b-v3.5-fp16",
-                "14GB"
-            ],
-            [
-                "7b-v3.5-q4_K_M",
-                "4.4GB"
-            ],
-            [
-                "7b-v3.5-q2_K",
-                "3.1GB"
-            ],
-            [
-                "7b-v3.5-1210-q6_K",
-                "5.9GB"
-            ],
-            [
-                "7b-v3.5-1210-q4_K_S",
-                "4.1GB"
-            ],
-            [
-                "7b-v3.5-q3_K_L",
-                "3.8GB"
-            ],
-            [
-                "7b-v3.5-q3_K_S",
-                "3.2GB"
-            ],
-            [
-                "7b-v3.5-1210-q5_0",
-                "5.0GB"
-            ],
-            [
-                "7b-v3.5-1210-q4_0",
-                "4.1GB"
-            ],
             [
                 "7b-v3.5-1210-fp16",
                 "14GB"
             ],
             [
-                "7b-v3.5-1210-q4_1",
-                "4.6GB"
-            ],
-            [
-                "7b-v3.5-1210-q5_K_M",
-                "5.1GB"
-            ],
-            [
-                "7b-v3.5-1210-q4_K_M",
-                "4.4GB"
-            ],
-            [
-                "7b-v3.5-1210-q5_K_S",
-                "5.0GB"
-            ],
-            [
-                "7b-v3.5-1210-q3_K_S",
-                "3.2GB"
-            ],
-            [
-                "7b-v3.5-1210-q8_0",
-                "7.7GB"
-            ],
-            [
-                "7b-v3.5-1210-q5_1",
-                "5.4GB"
-            ],
-            [
-                "7b-v3.5-q4_0",
-                "4.1GB"
-            ],
-            [
-                "7b-v3.5-q5_1",
-                "5.4GB"
+                "7b-v3.5-1210-q2_K",
+                "3.1GB"
             ],
             [
                 "7b-v3.5-1210-q3_K_L",
@@ -11419,10 +11499,94 @@
                 "7b-v3.5-1210-q3_K_M",
                 "3.5GB"
             ],
+            [
+                "7b-v3.5-1210-q3_K_S",
+                "3.2GB"
+            ],
+            [
+                "7b-v3.5-1210-q4_0",
+                "4.1GB"
+            ],
+            [
+                "7b-v3.5-1210-q4_1",
+                "4.6GB"
+            ],
+            [
+                "7b-v3.5-1210-q4_K_M",
+                "4.4GB"
+            ],
+            [
+                "7b-v3.5-1210-q4_K_S",
+                "4.1GB"
+            ],
+            [
+                "7b-v3.5-1210-q5_0",
+                "5.0GB"
+            ],
+            [
+                "7b-v3.5-1210-q5_1",
+                "5.4GB"
+            ],
+            [
+                "7b-v3.5-1210-q5_K_M",
+                "5.1GB"
+            ],
+            [
+                "7b-v3.5-1210-q5_K_S",
+                "5.0GB"
+            ],
+            [
+                "7b-v3.5-1210-q6_K",
+                "5.9GB"
+            ],
+            [
+                "7b-v3.5-q4_1",
+                "4.6GB"
+            ],
+            [
+                "7b-v3.5-q3_K_M",
+                "3.5GB"
+            ],
+            [
+                "7b-v3.5-q2_K",
+                "3.1GB"
+            ],
+            [
+                "7b-v3.5-q3_K_L",
+                "3.8GB"
+            ],
+            [
+                "7b-v3.5-q4_0",
+                "4.1GB"
+            ],
+            [
+                "7b-v3.5-1210-q8_0",
+                "7.7GB"
+            ],
+            [
+                "7b-v3.5-fp16",
+                "14GB"
+            ],
+            [
+                "7b-v3.5-q3_K_S",
+                "3.2GB"
+            ],
+            [
+                "7b-v3.5-q4_K_M",
+                "4.4GB"
+            ],
             [
                 "7b-v3.5-q4_K_S",
                 "4.1GB"
             ],
+            [
+                "7b-v3.5-q5_0",
+                "5.0GB"
+            ],
+            [
+                "7b-v3.5-q5_1",
+                "5.4GB"
+            ],
             [
                 "7b-v3.5-q5_K_M",
                 "5.1GB"
@@ -11432,16 +11596,8 @@
                 "5.0GB"
             ],
             [
-                "7b-v3.5-q3_K_M",
-                "3.5GB"
-            ],
-            [
-                "7b-v3.5-q5_0",
-                "5.0GB"
-            ],
-            [
-                "7b-v3.5-q4_1",
-                "4.6GB"
+                "7b-v3.5-q6_K",
+                "5.9GB"
             ],
             [
                 "7b-v3.5-q8_0",
@@ -11540,11 +11696,11 @@
                 "4.1GB"
             ],
             [
-                "v2",
+                "v2.5",
                 "4.1GB"
             ],
             [
-                "v2.5",
+                "v2",
                 "4.1GB"
             ],
             [
@@ -12107,6 +12263,134 @@
         "image": false,
         "author": "Stability AI"
     },
+    "codeqwen": {
+        "url": "https://ollama.com/library/codeqwen",
+        "description": "CodeQwen1.5 is a large language model pretrained on a large amount of code data.",
+        "tags": [
+            [
+                "latest",
+                "4.2GB"
+            ],
+            [
+                "7b",
+                "4.2GB"
+            ],
+            [
+                "chat",
+                "4.2GB"
+            ],
+            [
+                "code",
+                "4.2GB"
+            ],
+            [
+                "v1.5",
+                "4.2GB"
+            ],
+            [
+                "7b-chat",
+                "4.2GB"
+            ],
+            [
+                "7b-chat-v1.5-fp16",
+                "15GB"
+            ],
+            [
+                "7b-chat-v1.5-q2_K",
+                "3.1GB"
+            ],
+            [
+                "7b-chat-v1.5-q3_K_L",
+                "4.0GB"
+            ],
+            [
+                "7b-chat-v1.5-q3_K_M",
+                "3.8GB"
+            ],
+            [
+                "7b-chat-v1.5-q3_K_S",
+                "3.5GB"
+            ],
+            [
+                "7b-chat-v1.5-q4_0",
+                "4.2GB"
+            ],
+            [
+                "7b-chat-v1.5-q4_1",
+                "4.6GB"
+            ],
+            [
+                "7b-chat-v1.5-q4_K_M",
+                "4.7GB"
+            ],
+            [
+                "7b-chat-v1.5-q4_K_S",
+                "4.4GB"
+            ],
+            [
+                "7b-chat-v1.5-q5_0",
+                "5.0GB"
+            ],
+            [
+                "7b-chat-v1.5-q5_1",
+                "5.5GB"
+            ],
+            [
+                "7b-chat-v1.5-q5_K_M",
+                "5.4GB"
+            ],
+            [
+                "7b-chat-v1.5-q5_K_S",
+                "5.1GB"
+            ],
+            [
+                "7b-chat-v1.5-q6_K",
+                "6.4GB"
+            ],
+            [
+                "7b-chat-v1.5-q8_0",
+                "7.7GB"
+            ],
+            [
+                "7b-code",
+                "4.2GB"
+            ],
+            [
+                "7b-code-v1.5-fp16",
+                "15GB"
+            ],
+            [
+                "7b-code-v1.5-q4_0",
+                "4.2GB"
+            ],
+            [
+                "7b-code-v1.5-q4_1",
+                "4.6GB"
+            ],
+            [
+                "7b-code-v1.5-q5_0",
+                "5.0GB"
+            ],
+            [
+                "7b-code-v1.5-q5_1",
+                "5.5GB"
+            ],
+            [
+                "7b-code-v1.5-q8_0",
+                "7.7GB"
+            ],
+            [
+                "v1.5-chat",
+                "4.2GB"
+            ],
+            [
+                "v1.5-code",
+                "4.2GB"
+            ]
+        ],
+        "image": false,
+        "author": "Alibaba"
+    },
     "neural-chat": {
         "url": "https://ollama.com/library/neural-chat",
         "description": "A fine-tuned model based on Mistral with good coverage of domain and language.",
@@ -12579,338 +12863,6 @@
         "image": false,
         "author": "WizardLM Team"
     },
-    "codeqwen": {
-        "url": "https://ollama.com/library/codeqwen",
-        "description": "CodeQwen1.5 is a large language model pretrained on a large amount of code data.",
-        "tags": [
-            [
-                "latest",
-                "4.2GB"
-            ],
-            [
-                "7b",
-                "4.2GB"
-            ],
-            [
-                "chat",
-                "4.2GB"
-            ],
-            [
-                "code",
-                "4.2GB"
-            ],
-            [
-                "v1.5",
-                "4.2GB"
-            ],
-            [
-                "7b-chat",
-                "4.2GB"
-            ],
-            [
-                "7b-chat-v1.5-fp16",
-                "15GB"
-            ],
-            [
-                "7b-chat-v1.5-q2_K",
-                "3.1GB"
-            ],
-            [
-                "7b-chat-v1.5-q3_K_L",
-                "4.0GB"
-            ],
-            [
-                "7b-chat-v1.5-q3_K_M",
-                "3.8GB"
-            ],
-            [
-                "7b-chat-v1.5-q3_K_S",
-                "3.5GB"
-            ],
-            [
-                "7b-chat-v1.5-q4_0",
-                "4.2GB"
-            ],
-            [
-                "7b-chat-v1.5-q4_1",
-                "4.6GB"
-            ],
-            [
-                "7b-chat-v1.5-q4_K_M",
-                "4.7GB"
-            ],
-            [
-                "7b-chat-v1.5-q4_K_S",
-                "4.4GB"
-            ],
-            [
-                "7b-chat-v1.5-q5_0",
-                "5.0GB"
-            ],
-            [
-                "7b-chat-v1.5-q5_1",
-                "5.5GB"
-            ],
-            [
-                "7b-chat-v1.5-q5_K_M",
-                "5.4GB"
-            ],
-            [
-                "7b-chat-v1.5-q5_K_S",
-                "5.1GB"
-            ],
-            [
-                "7b-chat-v1.5-q6_K",
-                "6.4GB"
-            ],
-            [
-                "7b-chat-v1.5-q8_0",
-                "7.7GB"
-            ],
-            [
-                "7b-code",
-                "4.2GB"
-            ],
-            [
-                "7b-code-v1.5-fp16",
-                "15GB"
-            ],
-            [
-                "7b-code-v1.5-q4_0",
-                "4.2GB"
-            ],
-            [
-                "7b-code-v1.5-q4_1",
-                "4.6GB"
-            ],
-            [
-                "7b-code-v1.5-q5_0",
-                "5.0GB"
-            ],
-            [
-                "7b-code-v1.5-q5_1",
-                "5.5GB"
-            ],
-            [
-                "7b-code-v1.5-q8_0",
-                "7.7GB"
-            ],
-            [
-                "v1.5-chat",
-                "4.2GB"
-            ],
-            [
-                "v1.5-code",
-                "4.2GB"
-            ]
-        ],
-        "image": false,
-        "author": "Alibaba"
-    },
-    "phind-codellama": {
-        "url": "https://ollama.com/library/phind-codellama",
-        "description": "Code generation model based on Code Llama.",
-        "tags": [
-            [
-                "latest",
-                "19GB"
-            ],
-            [
-                "34b",
-                "19GB"
-            ],
-            [
-                "34b-python",
-                "19GB"
-            ],
-            [
-                "34b-python-fp16",
-                "67GB"
-            ],
-            [
-                "34b-python-q2_K",
-                "14GB"
-            ],
-            [
-                "34b-python-q3_K_L",
-                "18GB"
-            ],
-            [
-                "34b-python-q3_K_M",
-                "16GB"
-            ],
-            [
-                "34b-python-q3_K_S",
-                "15GB"
-            ],
-            [
-                "34b-python-q4_0",
-                "19GB"
-            ],
-            [
-                "34b-python-q4_1",
-                "21GB"
-            ],
-            [
-                "34b-python-q4_K_M",
-                "20GB"
-            ],
-            [
-                "34b-python-q4_K_S",
-                "19GB"
-            ],
-            [
-                "34b-python-q5_0",
-                "23GB"
-            ],
-            [
-                "34b-python-q5_1",
-                "25GB"
-            ],
-            [
-                "34b-python-q5_K_M",
-                "24GB"
-            ],
-            [
-                "34b-python-q5_K_S",
-                "23GB"
-            ],
-            [
-                "34b-python-q6_K",
-                "28GB"
-            ],
-            [
-                "34b-python-q8_0",
-                "36GB"
-            ],
-            [
-                "34b-v2",
-                "19GB"
-            ],
-            [
-                "34b-v2-fp16",
-                "67GB"
-            ],
-            [
-                "34b-v2-q2_K",
-                "14GB"
-            ],
-            [
-                "34b-v2-q3_K_L",
-                "18GB"
-            ],
-            [
-                "34b-v2-q3_K_M",
-                "16GB"
-            ],
-            [
-                "34b-v2-q3_K_S",
-                "15GB"
-            ],
-            [
-                "34b-v2-q4_0",
-                "19GB"
-            ],
-            [
-                "34b-v2-q4_1",
-                "21GB"
-            ],
-            [
-                "34b-v2-q4_K_M",
-                "20GB"
-            ],
-            [
-                "34b-v2-q4_K_S",
-                "19GB"
-            ],
-            [
-                "34b-v2-q5_0",
-                "23GB"
-            ],
-            [
-                "34b-v2-q5_1",
-                "25GB"
-            ],
-            [
-                "34b-v2-q5_K_M",
-                "24GB"
-            ],
-            [
-                "34b-v2-q5_K_S",
-                "23GB"
-            ],
-            [
-                "34b-v2-q6_K",
-                "28GB"
-            ],
-            [
-                "34b-v2-q8_0",
-                "36GB"
-            ],
-            [
-                "34b-fp16",
-                "67GB"
-            ],
-            [
-                "34b-q2_K",
-                "14GB"
-            ],
-            [
-                "34b-q3_K_L",
-                "18GB"
-            ],
-            [
-                "34b-q3_K_M",
-                "16GB"
-            ],
-            [
-                "34b-q3_K_S",
-                "15GB"
-            ],
-            [
-                "34b-q4_0",
-                "19GB"
-            ],
-            [
-                "34b-q4_1",
-                "21GB"
-            ],
-            [
-                "34b-q4_K_M",
-                "20GB"
-            ],
-            [
-                "34b-q4_K_S",
-                "19GB"
-            ],
-            [
-                "34b-q5_0",
-                "23GB"
-            ],
-            [
-                "34b-q5_1",
-                "25GB"
-            ],
-            [
-                "34b-q5_K_M",
-                "24GB"
-            ],
-            [
-                "34b-q5_K_S",
-                "23GB"
-            ],
-            [
-                "34b-q6_K",
-                "28GB"
-            ],
-            [
-                "34b-q8_0",
-                "36GB"
-            ]
-        ],
-        "image": false,
-        "author": "Phind"
-    },
     "stablelm2": {
         "url": "https://ollama.com/library/stablelm2",
         "description": "Stable LM 2 is a state-of-the-art 1.6B and 12B parameter language model trained on multilingual data in English, Spanish, German, Italian, French, Portuguese, and Dutch.",
@@ -13255,6 +13207,818 @@
         "image": false,
         "author": "Stability AI"
     },
+    "all-minilm": {
+        "url": "https://ollama.com/library/all-minilm",
+        "description": "Embedding models on very large sentence level datasets.",
+        "tags": [
+            [
+                "latest",
+                "46MB"
+            ],
+            [
+                "33m",
+                "67MB"
+            ],
+            [
+                "22m",
+                "46MB"
+            ],
+            [
+                "l12",
+                "67MB"
+            ],
+            [
+                "l6",
+                "46MB"
+            ],
+            [
+                "v2",
+                "46MB"
+            ],
+            [
+                "33m-l12-v2-fp16",
+                "67MB"
+            ],
+            [
+                "22m-l6-v2-fp16",
+                "46MB"
+            ],
+            [
+                "l12-v2",
+                "67MB"
+            ],
+            [
+                "l6-v2",
+                "46MB"
+            ]
+        ],
+        "image": false,
+        "author": "Sentence Transformers"
+    },
+    "granite-code": {
+        "url": "https://ollama.com/library/granite-code",
+        "description": "A family of open foundation models by IBM for Code Intelligence",
+        "tags": [
+            [
+                "latest",
+                "2.0GB"
+            ],
+            [
+                "34b",
+                "19GB"
+            ],
+            [
+                "20b",
+                "12GB"
+            ],
+            [
+                "8b",
+                "4.6GB"
+            ],
+            [
+                "3b",
+                "2.0GB"
+            ],
+            [
+                "34b-base",
+                "19GB"
+            ],
+            [
+                "34b-base-f16",
+                "68GB"
+            ],
+            [
+                "34b-base-q2_K",
+                "13GB"
+            ],
+            [
+                "34b-base-q3_K_L",
+                "20GB"
+            ],
+            [
+                "34b-base-q3_K_M",
+                "18GB"
+            ],
+            [
+                "34b-base-q3_K_S",
+                "15GB"
+            ],
+            [
+                "34b-base-q4_0",
+                "19GB"
+            ],
+            [
+                "34b-base-q4_1",
+                "21GB"
+            ],
+            [
+                "34b-base-q4_K_M",
+                "21GB"
+            ],
+            [
+                "34b-base-q4_K_S",
+                "19GB"
+            ],
+            [
+                "34b-base-q5_0",
+                "23GB"
+            ],
+            [
+                "34b-base-q5_1",
+                "25GB"
+            ],
+            [
+                "34b-base-q5_K_M",
+                "25GB"
+            ],
+            [
+                "34b-base-q5_K_S",
+                "23GB"
+            ],
+            [
+                "34b-base-q6_K",
+                "28GB"
+            ],
+            [
+                "34b-base-q8_0",
+                "36GB"
+            ],
+            [
+                "34b-instruct",
+                "19GB"
+            ],
+            [
+                "34b-instruct-f16",
+                "68GB"
+            ],
+            [
+                "34b-instruct-q2_K",
+                "13GB"
+            ],
+            [
+                "34b-instruct-q3_K_L",
+                "20GB"
+            ],
+            [
+                "34b-instruct-q3_K_M",
+                "18GB"
+            ],
+            [
+                "34b-instruct-q3_K_S",
+                "15GB"
+            ],
+            [
+                "34b-instruct-q4_0",
+                "19GB"
+            ],
+            [
+                "34b-instruct-q4_1",
+                "21GB"
+            ],
+            [
+                "34b-instruct-q4_K_M",
+                "21GB"
+            ],
+            [
+                "34b-instruct-q4_K_S",
+                "19GB"
+            ],
+            [
+                "34b-instruct-q5_0",
+                "23GB"
+            ],
+            [
+                "34b-instruct-q5_1",
+                "25GB"
+            ],
+            [
+                "34b-instruct-q5_K_M",
+                "25GB"
+            ],
+            [
+                "34b-instruct-q5_K_S",
+                "23GB"
+            ],
+            [
+                "34b-instruct-q6_K",
+                "28GB"
+            ],
+            [
+                "34b-instruct-q8_0",
+                "36GB"
+            ],
+            [
+                "20b-base-f16",
+                "40GB"
+            ],
+            [
+                "20b-base",
+                "12GB"
+            ],
+            [
+                "20b-base-fp16",
+                "40GB"
+            ],
+            [
+                "20b-base-q2_K",
+                "7.9GB"
+            ],
+            [
+                "20b-base-q3_K_L",
+                "12GB"
+            ],
+            [
+                "20b-base-q3_K_M",
+                "11GB"
+            ],
+            [
+                "20b-base-q3_K_S",
+                "8.9GB"
+            ],
+            [
+                "20b-base-q4_0",
+                "12GB"
+            ],
+            [
+                "20b-base-q4_1",
+                "13GB"
+            ],
+            [
+                "20b-base-q4_K_M",
+                "13GB"
+            ],
+            [
+                "20b-base-q4_K_S",
+                "12GB"
+            ],
+            [
+                "20b-base-q5_0",
+                "14GB"
+            ],
+            [
+                "20b-base-q5_1",
+                "15GB"
+            ],
+            [
+                "20b-base-q5_K_M",
+                "15GB"
+            ],
+            [
+                "20b-base-q5_K_S",
+                "14GB"
+            ],
+            [
+                "20b-base-q6_K",
+                "17GB"
+            ],
+            [
+                "20b-base-q8_0",
+                "21GB"
+            ],
+            [
+                "20b-instruct-f16",
+                "40GB"
+            ],
+            [
+                "20b-instruct",
+                "12GB"
+            ],
+            [
+                "20b-instruct-q2_K",
+                "7.9GB"
+            ],
+            [
+                "20b-instruct-q3_K_L",
+                "12GB"
+            ],
+            [
+                "20b-instruct-q3_K_M",
+                "11GB"
+            ],
+            [
+                "20b-instruct-q3_K_S",
+                "8.9GB"
+            ],
+            [
+                "20b-instruct-q4_0",
+                "12GB"
+            ],
+            [
+                "20b-instruct-q4_1",
+                "13GB"
+            ],
+            [
+                "20b-instruct-q4_K_M",
+                "13GB"
+            ],
+            [
+                "20b-instruct-q4_K_S",
+                "12GB"
+            ],
+            [
+                "20b-instruct-q5_0",
+                "14GB"
+            ],
+            [
+                "20b-instruct-q5_1",
+                "15GB"
+            ],
+            [
+                "20b-instruct-q5_K_M",
+                "15GB"
+            ],
+            [
+                "20b-instruct-q5_K_S",
+                "14GB"
+            ],
+            [
+                "20b-instruct-q6_K",
+                "17GB"
+            ],
+            [
+                "20b-instruct-q8_0",
+                "21GB"
+            ],
+            [
+                "8b-base",
+                "4.6GB"
+            ],
+            [
+                "8b-base-f16",
+                "16GB"
+            ],
+            [
+                "8b-base-fp16",
+                "16GB"
+            ],
+            [
+                "8b-base-q2_K",
+                "3.1GB"
+            ],
+            [
+                "8b-base-q3_K_L",
+                "4.3GB"
+            ],
+            [
+                "8b-base-q3_K_M",
+                "3.9GB"
+            ],
+            [
+                "8b-base-q3_K_S",
+                "3.5GB"
+            ],
+            [
+                "8b-base-q4_0",
+                "4.6GB"
+            ],
+            [
+                "8b-base-q4_1",
+                "5.1GB"
+            ],
+            [
+                "8b-base-q4_K_M",
+                "4.9GB"
+            ],
+            [
+                "8b-base-q4_K_S",
+                "4.6GB"
+            ],
+            [
+                "8b-base-q5_0",
+                "5.6GB"
+            ],
+            [
+                "8b-base-q5_1",
+                "6.1GB"
+            ],
+            [
+                "8b-base-q5_K_M",
+                "5.7GB"
+            ],
+            [
+                "8b-base-q5_K_S",
+                "5.6GB"
+            ],
+            [
+                "8b-base-q6_K",
+                "6.6GB"
+            ],
+            [
+                "8b-base-q8_0",
+                "8.6GB"
+            ],
+            [
+                "8b-instruct",
+                "4.6GB"
+            ],
+            [
+                "8b-instruct-f16",
+                "16GB"
+            ],
+            [
+                "8b-instruct-fp16",
+                "16GB"
+            ],
+            [
+                "8b-instruct-q2_K",
+                "3.1GB"
+            ],
+            [
+                "8b-instruct-q3_K_L",
+                "4.3GB"
+            ],
+            [
+                "8b-instruct-q3_K_M",
+                "3.9GB"
+            ],
+            [
+                "8b-instruct-q3_K_S",
+                "3.5GB"
+            ],
+            [
+                "8b-instruct-q4_0",
+                "4.6GB"
+            ],
+            [
+                "8b-instruct-q4_1",
+                "5.1GB"
+            ],
+            [
+                "8b-instruct-q4_K_M",
+                "4.9GB"
+            ],
+            [
+                "8b-instruct-q4_K_S",
+                "4.6GB"
+            ],
+            [
+                "8b-instruct-q5_0",
+                "5.6GB"
+            ],
+            [
+                "8b-instruct-q5_1",
+                "6.1GB"
+            ],
+            [
+                "8b-instruct-q5_K_M",
+                "5.7GB"
+            ],
+            [
+                "8b-instruct-q5_K_S",
+                "5.6GB"
+            ],
+            [
+                "8b-instruct-q6_K",
+                "6.6GB"
+            ],
+            [
+                "8b-instruct-q8_0",
+                "8.6GB"
+            ],
+            [
+                "3b-base",
+                "2.0GB"
+            ],
+            [
+                "3b-base-f16",
+                "7.0GB"
+            ],
+            [
+                "3b-base-fp16",
+                "7.0GB"
+            ],
+            [
+                "3b-base-q2_K",
+                "1.3GB"
+            ],
+            [
+                "3b-base-q3_K_L",
+                "1.9GB"
+            ],
+            [
+                "3b-base-q3_K_M",
+                "1.7GB"
+            ],
+            [
+                "3b-base-q3_K_S",
+                "1.6GB"
+            ],
+            [
+                "3b-base-q4_0",
+                "2.0GB"
+            ],
+            [
+                "3b-base-q4_1",
+                "2.2GB"
+            ],
+            [
+                "3b-base-q4_K_M",
+                "2.1GB"
+            ],
+            [
+                "3b-base-q4_K_S",
+                "2.0GB"
+            ],
+            [
+                "3b-base-q5_0",
+                "2.4GB"
+            ],
+            [
+                "3b-base-q5_1",
+                "2.6GB"
+            ],
+            [
+                "3b-base-q5_K_M",
+                "2.5GB"
+            ],
+            [
+                "3b-base-q5_K_S",
+                "2.4GB"
+            ],
+            [
+                "3b-base-q6_K",
+                "2.9GB"
+            ],
+            [
+                "3b-base-q8_0",
+                "3.7GB"
+            ],
+            [
+                "3b-instruct-f16",
+                "7.0GB"
+            ],
+            [
+                "3b-instruct",
+                "2.0GB"
+            ],
+            [
+                "3b-instruct-fp16",
+                "7.0GB"
+            ],
+            [
+                "3b-instruct-q2_K",
+                "1.3GB"
+            ],
+            [
+                "3b-instruct-q3_K_L",
+                "1.9GB"
+            ],
+            [
+                "3b-instruct-q3_K_M",
+                "1.7GB"
+            ],
+            [
+                "3b-instruct-q3_K_S",
+                "1.6GB"
+            ],
+            [
+                "3b-instruct-q4_0",
+                "2.0GB"
+            ],
+            [
+                "3b-instruct-q4_1",
+                "2.2GB"
+            ],
+            [
+                "3b-instruct-q4_K_M",
+                "2.1GB"
+            ],
+            [
+                "3b-instruct-q4_K_S",
+                "2.0GB"
+            ],
+            [
+                "3b-instruct-q5_0",
+                "2.4GB"
+            ],
+            [
+                "3b-instruct-q5_1",
+                "2.6GB"
+            ],
+            [
+                "3b-instruct-q5_K_M",
+                "2.5GB"
+            ],
+            [
+                "3b-instruct-q5_K_S",
+                "2.4GB"
+            ],
+            [
+                "3b-instruct-q6_K",
+                "2.9GB"
+            ],
+            [
+                "3b-instruct-q8_0",
+                "3.7GB"
+            ]
+        ],
+        "image": false,
+        "author": "IBM for Code Intelligence"
+    },
+    "phind-codellama": {
+        "url": "https://ollama.com/library/phind-codellama",
+        "description": "Code generation model based on Code Llama.",
+        "tags": [
+            [
+                "latest",
+                "19GB"
+            ],
+            [
+                "34b",
+                "19GB"
+            ],
+            [
+                "34b-python",
+                "19GB"
+            ],
+            [
+                "34b-python-fp16",
+                "67GB"
+            ],
+            [
+                "34b-python-q2_K",
+                "14GB"
+            ],
+            [
+                "34b-python-q3_K_L",
+                "18GB"
+            ],
+            [
+                "34b-python-q3_K_M",
+                "16GB"
+            ],
+            [
+                "34b-python-q3_K_S",
+                "15GB"
+            ],
+            [
+                "34b-python-q4_0",
+                "19GB"
+            ],
+            [
+                "34b-python-q4_1",
+                "21GB"
+            ],
+            [
+                "34b-python-q4_K_M",
+                "20GB"
+            ],
+            [
+                "34b-python-q4_K_S",
+                "19GB"
+            ],
+            [
+                "34b-python-q5_0",
+                "23GB"
+            ],
+            [
+                "34b-python-q5_1",
+                "25GB"
+            ],
+            [
+                "34b-python-q5_K_M",
+                "24GB"
+            ],
+            [
+                "34b-python-q5_K_S",
+                "23GB"
+            ],
+            [
+                "34b-python-q6_K",
+                "28GB"
+            ],
+            [
+                "34b-python-q8_0",
+                "36GB"
+            ],
+            [
+                "34b-v2",
+                "19GB"
+            ],
+            [
+                "34b-v2-fp16",
+                "67GB"
+            ],
+            [
+                "34b-v2-q2_K",
+                "14GB"
+            ],
+            [
+                "34b-v2-q3_K_L",
+                "18GB"
+            ],
+            [
+                "34b-v2-q3_K_M",
+                "16GB"
+            ],
+            [
+                "34b-v2-q3_K_S",
+                "15GB"
+            ],
+            [
+                "34b-v2-q4_0",
+                "19GB"
+            ],
+            [
+                "34b-v2-q4_1",
+                "21GB"
+            ],
+            [
+                "34b-v2-q4_K_M",
+                "20GB"
+            ],
+            [
+                "34b-v2-q4_K_S",
+                "19GB"
+            ],
+            [
+                "34b-v2-q5_0",
+                "23GB"
+            ],
+            [
+                "34b-v2-q5_1",
+                "25GB"
+            ],
+            [
+                "34b-v2-q5_K_M",
+                "24GB"
+            ],
+            [
+                "34b-v2-q5_K_S",
+                "23GB"
+            ],
+            [
+                "34b-v2-q6_K",
+                "28GB"
+            ],
+            [
+                "34b-v2-q8_0",
+                "36GB"
+            ],
+            [
+                "34b-fp16",
+                "67GB"
+            ],
+            [
+                "34b-q2_K",
+                "14GB"
+            ],
+            [
+                "34b-q3_K_L",
+                "18GB"
+            ],
+            [
+                "34b-q3_K_M",
+                "16GB"
+            ],
+            [
+                "34b-q3_K_S",
+                "15GB"
+            ],
+            [
+                "34b-q4_0",
+                "19GB"
+            ],
+            [
+                "34b-q4_1",
+                "21GB"
+            ],
+            [
+                "34b-q4_K_M",
+                "20GB"
+            ],
+            [
+                "34b-q4_K_S",
+                "19GB"
+            ],
+            [
+                "34b-q5_0",
+                "23GB"
+            ],
+            [
+                "34b-q5_1",
+                "25GB"
+            ],
+            [
+                "34b-q5_K_M",
+                "24GB"
+            ],
+            [
+                "34b-q5_K_S",
+                "23GB"
+            ],
+            [
+                "34b-q6_K",
+                "28GB"
+            ],
+            [
+                "34b-q8_0",
+                "36GB"
+            ]
+        ],
+        "image": false,
+        "author": "Phind"
+    },
     "dolphincoder": {
         "url": "https://ollama.com/library/dolphincoder",
         "description": "A 7B and 15B uncensored variant of the Dolphin model family that excels at coding, based on StarCoder2.",
@@ -13403,54 +14167,6 @@
         "image": false,
         "author": "Cognitive Computations"
     },
-    "all-minilm": {
-        "url": "https://ollama.com/library/all-minilm",
-        "description": "Embedding models on very large sentence level datasets.",
-        "tags": [
-            [
-                "latest",
-                "46MB"
-            ],
-            [
-                "33m",
-                "67MB"
-            ],
-            [
-                "22m",
-                "46MB"
-            ],
-            [
-                "l12",
-                "67MB"
-            ],
-            [
-                "l6",
-                "46MB"
-            ],
-            [
-                "v2",
-                "46MB"
-            ],
-            [
-                "33m-l12-v2-fp16",
-                "67MB"
-            ],
-            [
-                "22m-l6-v2-fp16",
-                "46MB"
-            ],
-            [
-                "l12-v2",
-                "67MB"
-            ],
-            [
-                "l6-v2",
-                "46MB"
-            ]
-        ],
-        "image": false,
-        "author": "Sentence Transformers"
-    },
     "nous-hermes": {
         "url": "https://ollama.com/library/nous-hermes",
         "description": "General use models based on Llama and Llama 2 from Nous Research.",
@@ -13711,158 +14427,6 @@
         "image": false,
         "author": "Nous Research"
     },
-    "starling-lm": {
-        "url": "https://ollama.com/library/starling-lm",
-        "description": "Starling is a large language model trained by reinforcement learning from AI feedback focused on improving chatbot helpfulness.",
-        "tags": [
-            [
-                "latest",
-                "4.1GB"
-            ],
-            [
-                "7b",
-                "4.1GB"
-            ],
-            [
-                "alpha",
-                "4.1GB"
-            ],
-            [
-                "beta",
-                "4.1GB"
-            ],
-            [
-                "7b-alpha",
-                "4.1GB"
-            ],
-            [
-                "7b-alpha-fp16",
-                "14GB"
-            ],
-            [
-                "7b-alpha-q2_K",
-                "2.7GB"
-            ],
-            [
-                "7b-alpha-q3_K_L",
-                "3.8GB"
-            ],
-            [
-                "7b-alpha-q3_K_M",
-                "3.5GB"
-            ],
-            [
-                "7b-alpha-q3_K_S",
-                "3.2GB"
-            ],
-            [
-                "7b-alpha-q4_0",
-                "4.1GB"
-            ],
-            [
-                "7b-alpha-q4_1",
-                "4.6GB"
-            ],
-            [
-                "7b-alpha-q4_K_M",
-                "4.4GB"
-            ],
-            [
-                "7b-alpha-q4_K_S",
-                "4.1GB"
-            ],
-            [
-                "7b-alpha-q5_0",
-                "5.0GB"
-            ],
-            [
-                "7b-alpha-q5_1",
-                "5.4GB"
-            ],
-            [
-                "7b-alpha-q5_K_M",
-                "5.1GB"
-            ],
-            [
-                "7b-alpha-q5_K_S",
-                "5.0GB"
-            ],
-            [
-                "7b-alpha-q6_K",
-                "5.9GB"
-            ],
-            [
-                "7b-alpha-q8_0",
-                "7.7GB"
-            ],
-            [
-                "7b-beta",
-                "4.1GB"
-            ],
-            [
-                "7b-beta-fp16",
-                "14GB"
-            ],
-            [
-                "7b-beta-q2_K",
-                "2.7GB"
-            ],
-            [
-                "7b-beta-q3_K_L",
-                "3.8GB"
-            ],
-            [
-                "7b-beta-q3_K_M",
-                "3.5GB"
-            ],
-            [
-                "7b-beta-q3_K_S",
-                "3.2GB"
-            ],
-            [
-                "7b-beta-q4_0",
-                "4.1GB"
-            ],
-            [
-                "7b-beta-q4_1",
-                "4.6GB"
-            ],
-            [
-                "7b-beta-q4_K_M",
-                "4.4GB"
-            ],
-            [
-                "7b-beta-q4_K_S",
-                "4.1GB"
-            ],
-            [
-                "7b-beta-q5_0",
-                "5.0GB"
-            ],
-            [
-                "7b-beta-q5_1",
-                "5.4GB"
-            ],
-            [
-                "7b-beta-q5_K_M",
-                "5.1GB"
-            ],
-            [
-                "7b-beta-q5_K_S",
-                "5.0GB"
-            ],
-            [
-                "7b-beta-q6_K",
-                "5.9GB"
-            ],
-            [
-                "7b-beta-q8_0",
-                "7.7GB"
-            ]
-        ],
-        "image": false,
-        "author": "Berkeley Nest"
-    },
     "sqlcoder": {
         "url": "https://ollama.com/library/sqlcoder",
         "description": "SQLCoder is a code completion model fined-tuned on StarCoder for SQL generation tasks",
@@ -14063,146 +14627,6 @@
         "image": false,
         "author": "Defog.ai"
     },
-    "orca2": {
-        "url": "https://ollama.com/library/orca2",
-        "description": "Orca 2 is built by Microsoft research, and are a fine-tuned version of Meta's Llama 2 models. The model is designed to excel particularly in reasoning.",
-        "tags": [
-            [
-                "latest",
-                "3.8GB"
-            ],
-            [
-                "13b",
-                "7.4GB"
-            ],
-            [
-                "7b",
-                "3.8GB"
-            ],
-            [
-                "13b-fp16",
-                "26GB"
-            ],
-            [
-                "13b-q2_K",
-                "5.4GB"
-            ],
-            [
-                "13b-q3_K_L",
-                "6.9GB"
-            ],
-            [
-                "13b-q3_K_M",
-                "6.3GB"
-            ],
-            [
-                "13b-q3_K_S",
-                "5.7GB"
-            ],
-            [
-                "13b-q4_0",
-                "7.4GB"
-            ],
-            [
-                "13b-q4_1",
-                "8.2GB"
-            ],
-            [
-                "13b-q4_K_M",
-                "7.9GB"
-            ],
-            [
-                "13b-q4_K_S",
-                "7.4GB"
-            ],
-            [
-                "13b-q5_0",
-                "9.0GB"
-            ],
-            [
-                "13b-q5_1",
-                "9.8GB"
-            ],
-            [
-                "13b-q5_K_M",
-                "9.2GB"
-            ],
-            [
-                "13b-q5_K_S",
-                "9.0GB"
-            ],
-            [
-                "13b-q6_K",
-                "11GB"
-            ],
-            [
-                "13b-q8_0",
-                "14GB"
-            ],
-            [
-                "7b-fp16",
-                "13GB"
-            ],
-            [
-                "7b-q2_K",
-                "2.8GB"
-            ],
-            [
-                "7b-q3_K_L",
-                "3.6GB"
-            ],
-            [
-                "7b-q3_K_M",
-                "3.3GB"
-            ],
-            [
-                "7b-q3_K_S",
-                "2.9GB"
-            ],
-            [
-                "7b-q4_0",
-                "3.8GB"
-            ],
-            [
-                "7b-q4_1",
-                "4.2GB"
-            ],
-            [
-                "7b-q4_K_M",
-                "4.1GB"
-            ],
-            [
-                "7b-q4_K_S",
-                "3.9GB"
-            ],
-            [
-                "7b-q5_0",
-                "4.7GB"
-            ],
-            [
-                "7b-q5_1",
-                "5.1GB"
-            ],
-            [
-                "7b-q5_K_M",
-                "4.8GB"
-            ],
-            [
-                "7b-q5_K_S",
-                "4.7GB"
-            ],
-            [
-                "7b-q6_K",
-                "5.5GB"
-            ],
-            [
-                "7b-q8_0",
-                "7.2GB"
-            ]
-        ],
-        "image": false,
-        "author": "Microsoft Research"
-    },
     "llama3-gradient": {
         "url": "https://ollama.com/library/llama3-gradient",
         "description": "This model extends LLama-3 8B's context length from 8k to over 1m tokens.",
@@ -14351,6 +14775,158 @@
         "image": false,
         "author": "Gradient AI"
     },
+    "starling-lm": {
+        "url": "https://ollama.com/library/starling-lm",
+        "description": "Starling is a large language model trained by reinforcement learning from AI feedback focused on improving chatbot helpfulness.",
+        "tags": [
+            [
+                "latest",
+                "4.1GB"
+            ],
+            [
+                "7b",
+                "4.1GB"
+            ],
+            [
+                "alpha",
+                "4.1GB"
+            ],
+            [
+                "beta",
+                "4.1GB"
+            ],
+            [
+                "7b-alpha",
+                "4.1GB"
+            ],
+            [
+                "7b-alpha-fp16",
+                "14GB"
+            ],
+            [
+                "7b-alpha-q2_K",
+                "2.7GB"
+            ],
+            [
+                "7b-alpha-q3_K_L",
+                "3.8GB"
+            ],
+            [
+                "7b-alpha-q3_K_M",
+                "3.5GB"
+            ],
+            [
+                "7b-alpha-q3_K_S",
+                "3.2GB"
+            ],
+            [
+                "7b-alpha-q4_0",
+                "4.1GB"
+            ],
+            [
+                "7b-alpha-q4_1",
+                "4.6GB"
+            ],
+            [
+                "7b-alpha-q4_K_M",
+                "4.4GB"
+            ],
+            [
+                "7b-alpha-q4_K_S",
+                "4.1GB"
+            ],
+            [
+                "7b-alpha-q5_0",
+                "5.0GB"
+            ],
+            [
+                "7b-alpha-q5_1",
+                "5.4GB"
+            ],
+            [
+                "7b-alpha-q5_K_M",
+                "5.1GB"
+            ],
+            [
+                "7b-alpha-q5_K_S",
+                "5.0GB"
+            ],
+            [
+                "7b-alpha-q6_K",
+                "5.9GB"
+            ],
+            [
+                "7b-alpha-q8_0",
+                "7.7GB"
+            ],
+            [
+                "7b-beta",
+                "4.1GB"
+            ],
+            [
+                "7b-beta-fp16",
+                "14GB"
+            ],
+            [
+                "7b-beta-q2_K",
+                "2.7GB"
+            ],
+            [
+                "7b-beta-q3_K_L",
+                "3.8GB"
+            ],
+            [
+                "7b-beta-q3_K_M",
+                "3.5GB"
+            ],
+            [
+                "7b-beta-q3_K_S",
+                "3.2GB"
+            ],
+            [
+                "7b-beta-q4_0",
+                "4.1GB"
+            ],
+            [
+                "7b-beta-q4_1",
+                "4.6GB"
+            ],
+            [
+                "7b-beta-q4_K_M",
+                "4.4GB"
+            ],
+            [
+                "7b-beta-q4_K_S",
+                "4.1GB"
+            ],
+            [
+                "7b-beta-q5_0",
+                "5.0GB"
+            ],
+            [
+                "7b-beta-q5_1",
+                "5.4GB"
+            ],
+            [
+                "7b-beta-q5_K_M",
+                "5.1GB"
+            ],
+            [
+                "7b-beta-q5_K_S",
+                "5.0GB"
+            ],
+            [
+                "7b-beta-q6_K",
+                "5.9GB"
+            ],
+            [
+                "7b-beta-q8_0",
+                "7.7GB"
+            ]
+        ],
+        "image": false,
+        "author": "Berkeley Nest"
+    },
     "deepseek-llm": {
         "url": "https://ollama.com/library/deepseek-llm",
         "description": "An advanced language model crafted with 2 trillion bilingual tokens.",
@@ -14891,290 +15467,6 @@
         "image": false,
         "author": "Nous Research"
     },
-    "llama3-chatqa": {
-        "url": "https://ollama.com/library/llama3-chatqa",
-        "description": "A model from NVIDIA based on Llama 3 that excels at conversational question answering (QA) and retrieval-augmented generation (RAG).",
-        "tags": [
-            [
-                "latest",
-                "4.7GB"
-            ],
-            [
-                "70b",
-                "40GB"
-            ],
-            [
-                "8b",
-                "4.7GB"
-            ],
-            [
-                "70b-v1.5",
-                "40GB"
-            ],
-            [
-                "70b-v1.5-fp16",
-                "141GB"
-            ],
-            [
-                "70b-v1.5-q2_K",
-                "26GB"
-            ],
-            [
-                "70b-v1.5-q3_K_L",
-                "37GB"
-            ],
-            [
-                "70b-v1.5-q3_K_M",
-                "34GB"
-            ],
-            [
-                "70b-v1.5-q3_K_S",
-                "31GB"
-            ],
-            [
-                "70b-v1.5-q4_0",
-                "40GB"
-            ],
-            [
-                "70b-v1.5-q4_1",
-                "44GB"
-            ],
-            [
-                "70b-v1.5-q4_K_M",
-                "43GB"
-            ],
-            [
-                "70b-v1.5-q4_K_S",
-                "40GB"
-            ],
-            [
-                "70b-v1.5-q5_0",
-                "49GB"
-            ],
-            [
-                "70b-v1.5-q5_1",
-                "53GB"
-            ],
-            [
-                "70b-v1.5-q5_K_M",
-                "50GB"
-            ],
-            [
-                "70b-v1.5-q5_K_S",
-                "49GB"
-            ],
-            [
-                "70b-v1.5-q6_K",
-                "58GB"
-            ],
-            [
-                "70b-v1.5-q8_0",
-                "75GB"
-            ],
-            [
-                "8b-v1.5",
-                "4.7GB"
-            ],
-            [
-                "8b-v1.5-fp16",
-                "16GB"
-            ],
-            [
-                "8b-v1.5-q2_K",
-                "3.2GB"
-            ],
-            [
-                "8b-v1.5-q3_K_L",
-                "4.3GB"
-            ],
-            [
-                "8b-v1.5-q3_K_M",
-                "4.0GB"
-            ],
-            [
-                "8b-v1.5-q3_K_S",
-                "3.7GB"
-            ],
-            [
-                "8b-v1.5-q4_0",
-                "4.7GB"
-            ],
-            [
-                "8b-v1.5-q4_1",
-                "5.1GB"
-            ],
-            [
-                "8b-v1.5-q4_K_M",
-                "4.9GB"
-            ],
-            [
-                "8b-v1.5-q4_K_S",
-                "4.7GB"
-            ],
-            [
-                "8b-v1.5-q5_0",
-                "5.6GB"
-            ],
-            [
-                "8b-v1.5-q5_1",
-                "6.1GB"
-            ],
-            [
-                "8b-v1.5-q5_K_M",
-                "5.7GB"
-            ],
-            [
-                "8b-v1.5-q5_K_S",
-                "5.6GB"
-            ],
-            [
-                "8b-v1.5-q6_K",
-                "6.6GB"
-            ],
-            [
-                "8b-v1.5-q8_0",
-                "8.5GB"
-            ]
-        ],
-        "image": false,
-        "author": "Nvidia"
-    },
-    "solar": {
-        "url": "https://ollama.com/library/solar",
-        "description": "A compact, yet powerful 10.7B large language model designed for single-turn conversation.",
-        "tags": [
-            [
-                "latest",
-                "6.1GB"
-            ],
-            [
-                "10.7b",
-                "6.1GB"
-            ],
-            [
-                "10.7b-instruct-v1-fp16",
-                "21GB"
-            ],
-            [
-                "10.7b-instruct-v1-q2_K",
-                "4.5GB"
-            ],
-            [
-                "10.7b-instruct-v1-q3_K_L",
-                "5.7GB"
-            ],
-            [
-                "10.7b-instruct-v1-q3_K_M",
-                "5.2GB"
-            ],
-            [
-                "10.7b-instruct-v1-q3_K_S",
-                "4.7GB"
-            ],
-            [
-                "10.7b-instruct-v1-q4_0",
-                "6.1GB"
-            ],
-            [
-                "10.7b-instruct-v1-q4_1",
-                "6.7GB"
-            ],
-            [
-                "10.7b-instruct-v1-q4_K_M",
-                "6.5GB"
-            ],
-            [
-                "10.7b-instruct-v1-q4_K_S",
-                "6.1GB"
-            ],
-            [
-                "10.7b-instruct-v1-q5_0",
-                "7.4GB"
-            ],
-            [
-                "10.7b-instruct-v1-q5_1",
-                "8.1GB"
-            ],
-            [
-                "10.7b-instruct-v1-q5_K_M",
-                "7.6GB"
-            ],
-            [
-                "10.7b-instruct-v1-q5_K_S",
-                "7.4GB"
-            ],
-            [
-                "10.7b-instruct-v1-q6_K",
-                "8.8GB"
-            ],
-            [
-                "10.7b-instruct-v1-q8_0",
-                "11GB"
-            ],
-            [
-                "10.7b-text-v1-fp16",
-                "21GB"
-            ],
-            [
-                "10.7b-text-v1-q2_K",
-                "4.5GB"
-            ],
-            [
-                "10.7b-text-v1-q3_K_L",
-                "5.7GB"
-            ],
-            [
-                "10.7b-text-v1-q3_K_M",
-                "5.2GB"
-            ],
-            [
-                "10.7b-text-v1-q3_K_S",
-                "4.7GB"
-            ],
-            [
-                "10.7b-text-v1-q4_0",
-                "6.1GB"
-            ],
-            [
-                "10.7b-text-v1-q4_1",
-                "6.7GB"
-            ],
-            [
-                "10.7b-text-v1-q4_K_M",
-                "6.5GB"
-            ],
-            [
-                "10.7b-text-v1-q4_K_S",
-                "6.1GB"
-            ],
-            [
-                "10.7b-text-v1-q5_0",
-                "7.4GB"
-            ],
-            [
-                "10.7b-text-v1-q5_1",
-                "8.1GB"
-            ],
-            [
-                "10.7b-text-v1-q5_K_M",
-                "7.6GB"
-            ],
-            [
-                "10.7b-text-v1-q5_K_S",
-                "7.4GB"
-            ],
-            [
-                "10.7b-text-v1-q6_K",
-                "8.8GB"
-            ],
-            [
-                "10.7b-text-v1-q8_0",
-                "11GB"
-            ]
-        ],
-        "image": false,
-        "author": "Upstage"
-    },
     "xwinlm": {
         "url": "https://ollama.com/library/xwinlm",
         "description": "Conversational model based on Llama 2 that performs competitively on various benchmarks.",
@@ -15503,633 +15795,429 @@
         "image": false,
         "author": "Xwin LM"
     },
-    "granite-code": {
-        "url": "https://ollama.com/library/granite-code",
-        "description": "A family of open foundation models by IBM for Code Intelligence",
+    "llama3-chatqa": {
+        "url": "https://ollama.com/library/llama3-chatqa",
+        "description": "A model from NVIDIA based on Llama 3 that excels at conversational question answering (QA) and retrieval-augmented generation (RAG).",
         "tags": [
             [
                 "latest",
-                "2.0GB"
+                "4.7GB"
             ],
             [
-                "34b",
-                "19GB"
-            ],
-            [
-                "20b",
-                "12GB"
+                "70b",
+                "40GB"
             ],
             [
                 "8b",
-                "4.6GB"
+                "4.7GB"
             ],
             [
-                "3b",
-                "2.0GB"
-            ],
-            [
-                "34b-base",
-                "19GB"
-            ],
-            [
-                "34b-base-f16",
-                "68GB"
-            ],
-            [
-                "34b-base-q2_K",
-                "13GB"
-            ],
-            [
-                "34b-base-q3_K_L",
-                "20GB"
-            ],
-            [
-                "34b-base-q3_K_M",
-                "18GB"
-            ],
-            [
-                "34b-base-q3_K_S",
-                "15GB"
-            ],
-            [
-                "34b-base-q4_0",
-                "19GB"
-            ],
-            [
-                "34b-base-q4_1",
-                "21GB"
-            ],
-            [
-                "34b-base-q4_K_M",
-                "21GB"
-            ],
-            [
-                "34b-base-q4_K_S",
-                "19GB"
-            ],
-            [
-                "34b-base-q5_0",
-                "23GB"
-            ],
-            [
-                "34b-base-q5_1",
-                "25GB"
-            ],
-            [
-                "34b-base-q5_K_M",
-                "25GB"
-            ],
-            [
-                "34b-base-q5_K_S",
-                "23GB"
-            ],
-            [
-                "34b-base-q6_K",
-                "28GB"
-            ],
-            [
-                "34b-base-q8_0",
-                "36GB"
-            ],
-            [
-                "34b-instruct-f16",
-                "68GB"
-            ],
-            [
-                "34b-instruct",
-                "19GB"
-            ],
-            [
-                "34b-instruct-q2_K",
-                "13GB"
-            ],
-            [
-                "34b-instruct-q3_K_L",
-                "20GB"
-            ],
-            [
-                "34b-instruct-q3_K_M",
-                "18GB"
-            ],
-            [
-                "34b-instruct-q3_K_S",
-                "15GB"
-            ],
-            [
-                "34b-instruct-q4_0",
-                "19GB"
-            ],
-            [
-                "34b-instruct-q4_1",
-                "21GB"
-            ],
-            [
-                "34b-instruct-q4_K_M",
-                "21GB"
-            ],
-            [
-                "34b-instruct-q4_K_S",
-                "19GB"
-            ],
-            [
-                "34b-instruct-q5_0",
-                "23GB"
-            ],
-            [
-                "34b-instruct-q5_1",
-                "25GB"
-            ],
-            [
-                "34b-instruct-q5_K_M",
-                "25GB"
-            ],
-            [
-                "34b-instruct-q5_K_S",
-                "23GB"
-            ],
-            [
-                "34b-instruct-q6_K",
-                "28GB"
-            ],
-            [
-                "34b-instruct-q8_0",
-                "36GB"
-            ],
-            [
-                "20b-base",
-                "12GB"
-            ],
-            [
-                "20b-base-f16",
+                "70b-v1.5",
                 "40GB"
             ],
             [
-                "20b-base-fp16",
+                "70b-v1.5-fp16",
+                "141GB"
+            ],
+            [
+                "70b-v1.5-q2_K",
+                "26GB"
+            ],
+            [
+                "70b-v1.5-q3_K_L",
+                "37GB"
+            ],
+            [
+                "70b-v1.5-q3_K_M",
+                "34GB"
+            ],
+            [
+                "70b-v1.5-q3_K_S",
+                "31GB"
+            ],
+            [
+                "70b-v1.5-q4_0",
                 "40GB"
             ],
             [
-                "20b-base-q2_K",
-                "7.9GB"
+                "70b-v1.5-q4_1",
+                "44GB"
             ],
             [
-                "20b-base-q3_K_L",
-                "12GB"
+                "70b-v1.5-q4_K_M",
+                "43GB"
             ],
             [
-                "20b-base-q3_K_M",
-                "11GB"
-            ],
-            [
-                "20b-base-q3_K_S",
-                "8.9GB"
-            ],
-            [
-                "20b-base-q4_0",
-                "12GB"
-            ],
-            [
-                "20b-base-q4_1",
-                "13GB"
-            ],
-            [
-                "20b-base-q4_K_M",
-                "13GB"
-            ],
-            [
-                "20b-base-q4_K_S",
-                "12GB"
-            ],
-            [
-                "20b-base-q5_0",
-                "14GB"
-            ],
-            [
-                "20b-base-q5_1",
-                "15GB"
-            ],
-            [
-                "20b-base-q5_K_M",
-                "15GB"
-            ],
-            [
-                "20b-base-q5_K_S",
-                "14GB"
-            ],
-            [
-                "20b-base-q6_K",
-                "17GB"
-            ],
-            [
-                "20b-base-q8_0",
-                "21GB"
-            ],
-            [
-                "20b-instruct-f16",
+                "70b-v1.5-q4_K_S",
                 "40GB"
             ],
             [
-                "20b-instruct",
-                "12GB"
+                "70b-v1.5-q5_0",
+                "49GB"
             ],
             [
-                "20b-instruct-q2_K",
-                "7.9GB"
+                "70b-v1.5-q5_1",
+                "53GB"
             ],
             [
-                "20b-instruct-q3_K_L",
-                "12GB"
+                "70b-v1.5-q5_K_M",
+                "50GB"
             ],
             [
-                "20b-instruct-q3_K_M",
-                "11GB"
+                "70b-v1.5-q5_K_S",
+                "49GB"
             ],
             [
-                "20b-instruct-q3_K_S",
-                "8.9GB"
+                "70b-v1.5-q6_K",
+                "58GB"
             ],
             [
-                "20b-instruct-q4_0",
-                "12GB"
+                "70b-v1.5-q8_0",
+                "75GB"
             ],
             [
-                "20b-instruct-q4_1",
-                "13GB"
+                "8b-v1.5",
+                "4.7GB"
             ],
             [
-                "20b-instruct-q4_K_M",
-                "13GB"
-            ],
-            [
-                "20b-instruct-q4_K_S",
-                "12GB"
-            ],
-            [
-                "20b-instruct-q5_0",
-                "14GB"
-            ],
-            [
-                "20b-instruct-q5_1",
-                "15GB"
-            ],
-            [
-                "20b-instruct-q5_K_M",
-                "15GB"
-            ],
-            [
-                "20b-instruct-q5_K_S",
-                "14GB"
-            ],
-            [
-                "20b-instruct-q6_K",
-                "17GB"
-            ],
-            [
-                "20b-instruct-q8_0",
-                "21GB"
-            ],
-            [
-                "8b-base",
-                "4.6GB"
-            ],
-            [
-                "8b-base-f16",
+                "8b-v1.5-fp16",
                 "16GB"
             ],
             [
-                "8b-base-fp16",
-                "16GB"
+                "8b-v1.5-q2_K",
+                "3.2GB"
             ],
             [
-                "8b-base-q2_K",
-                "3.1GB"
-            ],
-            [
-                "8b-base-q3_K_L",
+                "8b-v1.5-q3_K_L",
                 "4.3GB"
             ],
             [
-                "8b-base-q3_K_M",
-                "3.9GB"
+                "8b-v1.5-q3_K_M",
+                "4.0GB"
             ],
             [
-                "8b-base-q3_K_S",
-                "3.5GB"
-            ],
-            [
-                "8b-base-q4_0",
-                "4.6GB"
-            ],
-            [
-                "8b-base-q4_1",
-                "5.1GB"
-            ],
-            [
-                "8b-base-q4_K_M",
-                "4.9GB"
-            ],
-            [
-                "8b-base-q4_K_S",
-                "4.6GB"
-            ],
-            [
-                "8b-base-q5_0",
-                "5.6GB"
-            ],
-            [
-                "8b-base-q5_1",
-                "6.1GB"
-            ],
-            [
-                "8b-base-q5_K_M",
-                "5.7GB"
-            ],
-            [
-                "8b-base-q5_K_S",
-                "5.6GB"
-            ],
-            [
-                "8b-base-q6_K",
-                "6.6GB"
-            ],
-            [
-                "8b-base-q8_0",
-                "8.6GB"
-            ],
-            [
-                "8b-instruct-f16",
-                "16GB"
-            ],
-            [
-                "8b-instruct",
-                "4.6GB"
-            ],
-            [
-                "8b-instruct-fp16",
-                "16GB"
-            ],
-            [
-                "8b-instruct-q2_K",
-                "3.1GB"
-            ],
-            [
-                "8b-instruct-q3_K_L",
-                "4.3GB"
-            ],
-            [
-                "8b-instruct-q3_K_M",
-                "3.9GB"
-            ],
-            [
-                "8b-instruct-q3_K_S",
-                "3.5GB"
-            ],
-            [
-                "8b-instruct-q4_0",
-                "4.6GB"
-            ],
-            [
-                "8b-instruct-q4_1",
-                "5.1GB"
-            ],
-            [
-                "8b-instruct-q4_K_M",
-                "4.9GB"
-            ],
-            [
-                "8b-instruct-q4_K_S",
-                "4.6GB"
-            ],
-            [
-                "8b-instruct-q5_0",
-                "5.6GB"
-            ],
-            [
-                "8b-instruct-q5_1",
-                "6.1GB"
-            ],
-            [
-                "8b-instruct-q5_K_M",
-                "5.7GB"
-            ],
-            [
-                "8b-instruct-q5_K_S",
-                "5.6GB"
-            ],
-            [
-                "8b-instruct-q6_K",
-                "6.6GB"
-            ],
-            [
-                "8b-instruct-q8_0",
-                "8.6GB"
-            ],
-            [
-                "3b-base-f16",
-                "7.0GB"
-            ],
-            [
-                "3b-base",
-                "2.0GB"
-            ],
-            [
-                "3b-base-fp16",
-                "7.0GB"
-            ],
-            [
-                "3b-base-q2_K",
-                "1.3GB"
-            ],
-            [
-                "3b-base-q3_K_L",
-                "1.9GB"
-            ],
-            [
-                "3b-base-q3_K_M",
-                "1.7GB"
-            ],
-            [
-                "3b-base-q3_K_S",
-                "1.6GB"
-            ],
-            [
-                "3b-base-q4_0",
-                "2.0GB"
-            ],
-            [
-                "3b-base-q4_1",
-                "2.2GB"
-            ],
-            [
-                "3b-base-q4_K_M",
-                "2.1GB"
-            ],
-            [
-                "3b-base-q4_K_S",
-                "2.0GB"
-            ],
-            [
-                "3b-base-q5_0",
-                "2.4GB"
-            ],
-            [
-                "3b-base-q5_1",
-                "2.6GB"
-            ],
-            [
-                "3b-base-q5_K_M",
-                "2.5GB"
-            ],
-            [
-                "3b-base-q5_K_S",
-                "2.4GB"
-            ],
-            [
-                "3b-base-q6_K",
-                "2.9GB"
-            ],
-            [
-                "3b-base-q8_0",
+                "8b-v1.5-q3_K_S",
                 "3.7GB"
             ],
             [
-                "3b-instruct-f16",
-                "7.0GB"
+                "8b-v1.5-q4_0",
+                "4.7GB"
             ],
             [
-                "3b-instruct",
-                "2.0GB"
+                "8b-v1.5-q4_1",
+                "5.1GB"
             ],
             [
-                "3b-instruct-fp16",
-                "7.0GB"
+                "8b-v1.5-q4_K_M",
+                "4.9GB"
             ],
             [
-                "3b-instruct-q2_K",
-                "1.3GB"
+                "8b-v1.5-q4_K_S",
+                "4.7GB"
             ],
             [
-                "3b-instruct-q3_K_L",
-                "1.9GB"
+                "8b-v1.5-q5_0",
+                "5.6GB"
             ],
             [
-                "3b-instruct-q3_K_M",
-                "1.7GB"
+                "8b-v1.5-q5_1",
+                "6.1GB"
             ],
             [
-                "3b-instruct-q3_K_S",
-                "1.6GB"
+                "8b-v1.5-q5_K_M",
+                "5.7GB"
             ],
             [
-                "3b-instruct-q4_0",
-                "2.0GB"
+                "8b-v1.5-q5_K_S",
+                "5.6GB"
             ],
             [
-                "3b-instruct-q4_1",
-                "2.2GB"
+                "8b-v1.5-q6_K",
+                "6.6GB"
             ],
             [
-                "3b-instruct-q4_K_M",
-                "2.1GB"
-            ],
-            [
-                "3b-instruct-q4_K_S",
-                "2.0GB"
-            ],
-            [
-                "3b-instruct-q5_0",
-                "2.4GB"
-            ],
-            [
-                "3b-instruct-q5_1",
-                "2.6GB"
-            ],
-            [
-                "3b-instruct-q5_K_M",
-                "2.5GB"
-            ],
-            [
-                "3b-instruct-q5_K_S",
-                "2.4GB"
-            ],
-            [
-                "3b-instruct-q6_K",
-                "2.9GB"
-            ],
-            [
-                "3b-instruct-q8_0",
-                "3.7GB"
+                "8b-v1.5-q8_0",
+                "8.5GB"
             ]
         ],
         "image": false,
-        "author": "IBM for Code Intelligence"
+        "author": "Nvidia"
     },
-    "dolphin-phi": {
-        "url": "https://ollama.com/library/dolphin-phi",
-        "description": "2.7B uncensored Dolphin model by Eric Hartford, based on the Phi language model by Microsoft Research.",
+    "orca2": {
+        "url": "https://ollama.com/library/orca2",
+        "description": "Orca 2 is built by Microsoft research, and are a fine-tuned version of Meta's Llama 2 models. The model is designed to excel particularly in reasoning.",
         "tags": [
             [
                 "latest",
-                "1.6GB"
+                "3.8GB"
             ],
             [
-                "2.7b",
-                "1.6GB"
+                "13b",
+                "7.4GB"
             ],
             [
-                "2.7b-v2.6",
-                "1.6GB"
+                "7b",
+                "3.8GB"
             ],
             [
-                "2.7b-v2.6-q2_K",
-                "1.2GB"
+                "13b-fp16",
+                "26GB"
             ],
             [
-                "2.7b-v2.6-q3_K_L",
-                "1.6GB"
+                "13b-q2_K",
+                "5.4GB"
             ],
             [
-                "2.7b-v2.6-q3_K_M",
-                "1.5GB"
+                "13b-q3_K_L",
+                "6.9GB"
             ],
             [
-                "2.7b-v2.6-q3_K_S",
-                "1.3GB"
+                "13b-q3_K_M",
+                "6.3GB"
             ],
             [
-                "2.7b-v2.6-q4_0",
-                "1.6GB"
+                "13b-q3_K_S",
+                "5.7GB"
             ],
             [
-                "2.7b-v2.6-q4_K_M",
-                "1.8GB"
+                "13b-q4_0",
+                "7.4GB"
             ],
             [
-                "2.7b-v2.6-q4_K_S",
-                "1.6GB"
+                "13b-q4_1",
+                "8.2GB"
             ],
             [
-                "2.7b-v2.6-q5_0",
-                "1.9GB"
+                "13b-q4_K_M",
+                "7.9GB"
             ],
             [
-                "2.7b-v2.6-q5_K_M",
-                "2.1GB"
+                "13b-q4_K_S",
+                "7.4GB"
             ],
             [
-                "2.7b-v2.6-q5_K_S",
-                "1.9GB"
+                "13b-q5_0",
+                "9.0GB"
             ],
             [
-                "2.7b-v2.6-q6_K",
-                "2.3GB"
+                "13b-q5_1",
+                "9.8GB"
             ],
             [
-                "2.7b-v2.6-q8_0",
-                "3.0GB"
+                "13b-q5_K_M",
+                "9.2GB"
+            ],
+            [
+                "13b-q5_K_S",
+                "9.0GB"
+            ],
+            [
+                "13b-q6_K",
+                "11GB"
+            ],
+            [
+                "13b-q8_0",
+                "14GB"
+            ],
+            [
+                "7b-fp16",
+                "13GB"
+            ],
+            [
+                "7b-q2_K",
+                "2.8GB"
+            ],
+            [
+                "7b-q3_K_L",
+                "3.6GB"
+            ],
+            [
+                "7b-q3_K_M",
+                "3.3GB"
+            ],
+            [
+                "7b-q3_K_S",
+                "2.9GB"
+            ],
+            [
+                "7b-q4_0",
+                "3.8GB"
+            ],
+            [
+                "7b-q4_1",
+                "4.2GB"
+            ],
+            [
+                "7b-q4_K_M",
+                "4.1GB"
+            ],
+            [
+                "7b-q4_K_S",
+                "3.9GB"
+            ],
+            [
+                "7b-q5_0",
+                "4.7GB"
+            ],
+            [
+                "7b-q5_1",
+                "5.1GB"
+            ],
+            [
+                "7b-q5_K_M",
+                "4.8GB"
+            ],
+            [
+                "7b-q5_K_S",
+                "4.7GB"
+            ],
+            [
+                "7b-q6_K",
+                "5.5GB"
+            ],
+            [
+                "7b-q8_0",
+                "7.2GB"
             ]
         ],
         "image": false,
-        "author": "Eric Hartford"
+        "author": "Microsoft Research"
+    },
+    "solar": {
+        "url": "https://ollama.com/library/solar",
+        "description": "A compact, yet powerful 10.7B large language model designed for single-turn conversation.",
+        "tags": [
+            [
+                "latest",
+                "6.1GB"
+            ],
+            [
+                "10.7b",
+                "6.1GB"
+            ],
+            [
+                "10.7b-instruct-v1-fp16",
+                "21GB"
+            ],
+            [
+                "10.7b-instruct-v1-q2_K",
+                "4.5GB"
+            ],
+            [
+                "10.7b-instruct-v1-q3_K_L",
+                "5.7GB"
+            ],
+            [
+                "10.7b-instruct-v1-q3_K_M",
+                "5.2GB"
+            ],
+            [
+                "10.7b-instruct-v1-q3_K_S",
+                "4.7GB"
+            ],
+            [
+                "10.7b-instruct-v1-q4_0",
+                "6.1GB"
+            ],
+            [
+                "10.7b-instruct-v1-q4_1",
+                "6.7GB"
+            ],
+            [
+                "10.7b-instruct-v1-q4_K_M",
+                "6.5GB"
+            ],
+            [
+                "10.7b-instruct-v1-q4_K_S",
+                "6.1GB"
+            ],
+            [
+                "10.7b-instruct-v1-q5_0",
+                "7.4GB"
+            ],
+            [
+                "10.7b-instruct-v1-q5_1",
+                "8.1GB"
+            ],
+            [
+                "10.7b-instruct-v1-q5_K_M",
+                "7.6GB"
+            ],
+            [
+                "10.7b-instruct-v1-q5_K_S",
+                "7.4GB"
+            ],
+            [
+                "10.7b-instruct-v1-q6_K",
+                "8.8GB"
+            ],
+            [
+                "10.7b-instruct-v1-q8_0",
+                "11GB"
+            ],
+            [
+                "10.7b-text-v1-fp16",
+                "21GB"
+            ],
+            [
+                "10.7b-text-v1-q2_K",
+                "4.5GB"
+            ],
+            [
+                "10.7b-text-v1-q3_K_L",
+                "5.7GB"
+            ],
+            [
+                "10.7b-text-v1-q3_K_M",
+                "5.2GB"
+            ],
+            [
+                "10.7b-text-v1-q3_K_S",
+                "4.7GB"
+            ],
+            [
+                "10.7b-text-v1-q4_0",
+                "6.1GB"
+            ],
+            [
+                "10.7b-text-v1-q4_1",
+                "6.7GB"
+            ],
+            [
+                "10.7b-text-v1-q4_K_M",
+                "6.5GB"
+            ],
+            [
+                "10.7b-text-v1-q4_K_S",
+                "6.1GB"
+            ],
+            [
+                "10.7b-text-v1-q5_0",
+                "7.4GB"
+            ],
+            [
+                "10.7b-text-v1-q5_1",
+                "8.1GB"
+            ],
+            [
+                "10.7b-text-v1-q5_K_M",
+                "7.6GB"
+            ],
+            [
+                "10.7b-text-v1-q5_K_S",
+                "7.4GB"
+            ],
+            [
+                "10.7b-text-v1-q6_K",
+                "8.8GB"
+            ],
+            [
+                "10.7b-text-v1-q8_0",
+                "11GB"
+            ]
+        ],
+        "image": false,
+        "author": "Upstage"
     },
     "wizardlm": {
         "url": "https://ollama.com/library/wizardlm",
@@ -16635,6 +16723,74 @@
         "image": false,
         "author": "Eric Hartford"
     },
+    "dolphin-phi": {
+        "url": "https://ollama.com/library/dolphin-phi",
+        "description": "2.7B uncensored Dolphin model by Eric Hartford, based on the Phi language model by Microsoft Research.",
+        "tags": [
+            [
+                "latest",
+                "1.6GB"
+            ],
+            [
+                "2.7b",
+                "1.6GB"
+            ],
+            [
+                "2.7b-v2.6",
+                "1.6GB"
+            ],
+            [
+                "2.7b-v2.6-q2_K",
+                "1.2GB"
+            ],
+            [
+                "2.7b-v2.6-q3_K_L",
+                "1.6GB"
+            ],
+            [
+                "2.7b-v2.6-q3_K_M",
+                "1.5GB"
+            ],
+            [
+                "2.7b-v2.6-q3_K_S",
+                "1.3GB"
+            ],
+            [
+                "2.7b-v2.6-q4_0",
+                "1.6GB"
+            ],
+            [
+                "2.7b-v2.6-q4_K_M",
+                "1.8GB"
+            ],
+            [
+                "2.7b-v2.6-q4_K_S",
+                "1.6GB"
+            ],
+            [
+                "2.7b-v2.6-q5_0",
+                "1.9GB"
+            ],
+            [
+                "2.7b-v2.6-q5_K_M",
+                "2.1GB"
+            ],
+            [
+                "2.7b-v2.6-q5_K_S",
+                "1.9GB"
+            ],
+            [
+                "2.7b-v2.6-q6_K",
+                "2.3GB"
+            ],
+            [
+                "2.7b-v2.6-q8_0",
+                "3.0GB"
+            ]
+        ],
+        "image": false,
+        "author": "Eric Hartford"
+    },
     "stable-beluga": {
         "url": "https://ollama.com/library/stable-beluga",
         "description": "Llama 2 based model fine tuned on an Orca-style dataset. Originally called Free Willy.",
@@ -16839,6 +16995,86 @@
         "image": false,
         "author": "Stability AI"
     },
+    "moondream": {
+        "url": "https://ollama.com/library/moondream",
+        "description": "moondream2 is a small vision language model designed to run efficiently on edge devices.",
+        "tags": [
+            [
+                "latest",
+                "1.7GB"
+            ],
+            [
+                "1.8b",
+                "1.7GB"
+            ],
+            [
+                "v2",
+                "1.7GB"
+            ],
+            [
+                "1.8b-v2-fp16",
+                "3.7GB"
+            ],
+            [
+                "1.8b-v2-q2_K",
+                "1.5GB"
+            ],
+            [
+                "1.8b-v2-q3_K_L",
+                "1.7GB"
+            ],
+            [
+                "1.8b-v2-q3_K_M",
+                "1.7GB"
+            ],
+            [
+                "1.8b-v2-q3_K_S",
+                "1.6GB"
+            ],
+            [
+                "1.8b-v2-q4_0",
+                "1.7GB"
+            ],
+            [
+                "1.8b-v2-q4_1",
+                "1.8GB"
+            ],
+            [
+                "1.8b-v2-q4_K_M",
+                "1.8GB"
+            ],
+            [
+                "1.8b-v2-q4_K_S",
+                "1.7GB"
+            ],
+            [
+                "1.8b-v2-q5_0",
+                "1.9GB"
+            ],
+            [
+                "1.8b-v2-q5_1",
+                "2.0GB"
+            ],
+            [
+                "1.8b-v2-q5_K_M",
+                "2.0GB"
+            ],
+            [
+                "1.8b-v2-q5_K_S",
+                "1.9GB"
+            ],
+            [
+                "1.8b-v2-q6_K",
+                "2.1GB"
+            ],
+            [
+                "1.8b-v2-q8_0",
+                "2.4GB"
+            ]
+        ],
+        "image": true,
+        "author": "Vikhyatk"
+    },
     "bakllava": {
         "url": "https://ollama.com/library/bakllava",
         "description": "BakLLaVA is a multimodal model consisting of the Mistral 7B base model augmented with the LLaVA architecture.",
@@ -16915,30 +17151,6 @@
         "image": true,
         "author": "Skunkworks AI"
     },
-    "llava-llama3": {
-        "url": "https://ollama.com/library/llava-llama3",
-        "description": "A LLaVA model fine-tuned from Llama 3 Instruct with better scores in several benchmarks.",
-        "tags": [
-            [
-                "latest",
-                "5.5GB"
-            ],
-            [
-                "8b",
-                "5.5GB"
-            ],
-            [
-                "8b-v1.1-fp16",
-                "17GB"
-            ],
-            [
-                "8b-v1.1-q4_0",
-                "5.5GB"
-            ]
-        ],
-        "image": true,
-        "author": "Xtuner"
-    },
     "wizardlm-uncensored": {
         "url": "https://ollama.com/library/wizardlm-uncensored",
         "description": "Uncensored version of Wizard LM model",
@@ -17019,6 +17231,78 @@
         "image": false,
         "author": "TheBloke AI"
     },
+    "snowflake-arctic-embed": {
+        "url": "https://ollama.com/library/snowflake-arctic-embed",
+        "description": "A suite of text embedding models by Snowflake, optimized for performance.",
+        "tags": [
+            [
+                "latest",
+                "669MB"
+            ],
+            [
+                "335m",
+                "669MB"
+            ],
+            [
+                "137m",
+                "274MB"
+            ],
+            [
+                "110m",
+                "219MB"
+            ],
+            [
+                "33m",
+                "67MB"
+            ],
+            [
+                "22m",
+                "46MB"
+            ],
+            [
+                "l",
+                "669MB"
+            ],
+            [
+                "m",
+                "219MB"
+            ],
+            [
+                "s",
+                "67MB"
+            ],
+            [
+                "xs",
+                "46MB"
+            ],
+            [
+                "335m-l-fp16",
+                "669MB"
+            ],
+            [
+                "137m-m-long-fp16",
+                "274MB"
+            ],
+            [
+                "110m-m-fp16",
+                "219MB"
+            ],
+            [
+                "33m-s-fp16",
+                "67MB"
+            ],
+            [
+                "22m-xs-fp16",
+                "46MB"
+            ],
+            [
+                "m-long",
+                "274MB"
+            ]
+        ],
+        "image": false,
+        "author": "Snowflake"
+    },
     "medllama2": {
         "url": "https://ollama.com/library/medllama2",
         "description": "Fine-tuned Llama 2 model to answer medical questions based on an open source medical dataset.",
@@ -17095,86 +17379,6 @@
         "image": false,
         "author": "Siraj Raval"
     },
-    "nous-hermes2-mixtral": {
-        "url": "https://ollama.com/library/nous-hermes2-mixtral",
-        "description": "The Nous Hermes 2 model from Nous Research, now trained over Mixtral.",
-        "tags": [
-            [
-                "latest",
-                "26GB"
-            ],
-            [
-                "8x7b",
-                "26GB"
-            ],
-            [
-                "dpo",
-                "26GB"
-            ],
-            [
-                "8x7b-dpo-fp16",
-                "93GB"
-            ],
-            [
-                "8x7b-dpo-q2_K",
-                "16GB"
-            ],
-            [
-                "8x7b-dpo-q3_K_L",
-                "20GB"
-            ],
-            [
-                "8x7b-dpo-q3_K_M",
-                "20GB"
-            ],
-            [
-                "8x7b-dpo-q3_K_S",
-                "20GB"
-            ],
-            [
-                "8x7b-dpo-q4_0",
-                "26GB"
-            ],
-            [
-                "8x7b-dpo-q4_1",
-                "29GB"
-            ],
-            [
-                "8x7b-dpo-q4_K_M",
-                "26GB"
-            ],
-            [
-                "8x7b-dpo-q4_K_S",
-                "26GB"
-            ],
-            [
-                "8x7b-dpo-q5_0",
-                "32GB"
-            ],
-            [
-                "8x7b-dpo-q5_1",
-                "35GB"
-            ],
-            [
-                "8x7b-dpo-q5_K_M",
-                "32GB"
-            ],
-            [
-                "8x7b-dpo-q5_K_S",
-                "32GB"
-            ],
-            [
-                "8x7b-dpo-q6_K",
-                "38GB"
-            ],
-            [
-                "8x7b-dpo-q8_0",
-                "50GB"
-            ]
-        ],
-        "image": false,
-        "author": "Nous Research"
-    },
     "yarn-mistral": {
         "url": "https://ollama.com/library/yarn-mistral",
         "description": "An extension of Mistral to support context windows of 64K or 128K.",
@@ -17315,77 +17519,85 @@
         "image": false,
         "author": "Nous Research"
     },
-    "snowflake-arctic-embed": {
-        "url": "https://ollama.com/library/snowflake-arctic-embed",
-        "description": "A suite of text embedding models by Snowflake, optimized for performance.",
+    "nous-hermes2-mixtral": {
+        "url": "https://ollama.com/library/nous-hermes2-mixtral",
+        "description": "The Nous Hermes 2 model from Nous Research, now trained over Mixtral.",
         "tags": [
             [
                 "latest",
-                "669MB"
+                "26GB"
             ],
             [
-                "335m",
-                "669MB"
+                "8x7b",
+                "26GB"
             ],
             [
-                "137m",
-                "274MB"
+                "dpo",
+                "26GB"
             ],
             [
-                "110m",
-                "219MB"
+                "8x7b-dpo-fp16",
+                "93GB"
             ],
             [
-                "33m",
-                "67MB"
+                "8x7b-dpo-q2_K",
+                "16GB"
             ],
             [
-                "22m",
-                "46MB"
+                "8x7b-dpo-q3_K_L",
+                "20GB"
             ],
             [
-                "l",
-                "669MB"
+                "8x7b-dpo-q3_K_M",
+                "20GB"
             ],
             [
-                "m",
-                "219MB"
+                "8x7b-dpo-q3_K_S",
+                "20GB"
             ],
             [
-                "s",
-                "67MB"
+                "8x7b-dpo-q4_0",
+                "26GB"
             ],
             [
-                "xs",
-                "46MB"
+                "8x7b-dpo-q4_1",
+                "29GB"
             ],
             [
-                "335m-l-fp16",
-                "669MB"
+                "8x7b-dpo-q4_K_M",
+                "26GB"
             ],
             [
-                "137m-m-long-fp16",
-                "274MB"
+                "8x7b-dpo-q4_K_S",
+                "26GB"
             ],
             [
-                "110m-m-fp16",
-                "219MB"
+                "8x7b-dpo-q5_0",
+                "32GB"
             ],
             [
-                "33m-s-fp16",
-                "67MB"
+                "8x7b-dpo-q5_1",
+                "35GB"
             ],
             [
-                "22m-xs-fp16",
-                "46MB"
+                "8x7b-dpo-q5_K_M",
+                "32GB"
             ],
             [
-                "m-long",
-                "274MB"
+                "8x7b-dpo-q5_K_S",
+                "32GB"
+            ],
+            [
+                "8x7b-dpo-q6_K",
+                "38GB"
+            ],
+            [
+                "8x7b-dpo-q8_0",
+                "50GB"
             ]
         ],
         "image": false,
-        "author": "Snowflake"
+        "author": "Nous Research"
     },
     "llama-pro": {
         "url": "https://ollama.com/library/llama-pro",
@@ -17527,562 +17739,6 @@
         "image": false,
         "author": "Tencent"
     },
-    "codeup": {
-        "url": "https://ollama.com/library/codeup",
-        "description": "Great code generation model based on Llama2.",
-        "tags": [
-            [
-                "latest",
-                "7.4GB"
-            ],
-            [
-                "13b",
-                "7.4GB"
-            ],
-            [
-                "13b-llama2",
-                "7.4GB"
-            ],
-            [
-                "13b-llama2-chat",
-                "7.4GB"
-            ],
-            [
-                "13b-llama2-chat-fp16",
-                "26GB"
-            ],
-            [
-                "13b-llama2-chat-q2_K",
-                "5.4GB"
-            ],
-            [
-                "13b-llama2-chat-q3_K_L",
-                "6.9GB"
-            ],
-            [
-                "13b-llama2-chat-q3_K_M",
-                "6.3GB"
-            ],
-            [
-                "13b-llama2-chat-q3_K_S",
-                "5.7GB"
-            ],
-            [
-                "13b-llama2-chat-q4_0",
-                "7.4GB"
-            ],
-            [
-                "13b-llama2-chat-q4_1",
-                "8.2GB"
-            ],
-            [
-                "13b-llama2-chat-q4_K_M",
-                "7.9GB"
-            ],
-            [
-                "13b-llama2-chat-q4_K_S",
-                "7.4GB"
-            ],
-            [
-                "13b-llama2-chat-q5_0",
-                "9.0GB"
-            ],
-            [
-                "13b-llama2-chat-q5_1",
-                "9.8GB"
-            ],
-            [
-                "13b-llama2-chat-q5_K_M",
-                "9.2GB"
-            ],
-            [
-                "13b-llama2-chat-q5_K_S",
-                "9.0GB"
-            ],
-            [
-                "13b-llama2-chat-q6_K",
-                "11GB"
-            ],
-            [
-                "13b-llama2-chat-q8_0",
-                "14GB"
-            ]
-        ],
-        "image": false,
-        "author": "DeepSE"
-    },
-    "meditron": {
-        "url": "https://ollama.com/library/meditron",
-        "description": "Open-source medical large language model adapted from Llama 2 to the medical domain.",
-        "tags": [
-            [
-                "latest",
-                "3.8GB"
-            ],
-            [
-                "70b",
-                "39GB"
-            ],
-            [
-                "7b",
-                "3.8GB"
-            ],
-            [
-                "70b-q4_0",
-                "39GB"
-            ],
-            [
-                "70b-q4_1",
-                "43GB"
-            ],
-            [
-                "70b-q4_K_S",
-                "39GB"
-            ],
-            [
-                "70b-q5_1",
-                "52GB"
-            ],
-            [
-                "7b-fp16",
-                "13GB"
-            ],
-            [
-                "7b-q2_K",
-                "2.8GB"
-            ],
-            [
-                "7b-q3_K_L",
-                "3.6GB"
-            ],
-            [
-                "7b-q3_K_M",
-                "3.3GB"
-            ],
-            [
-                "7b-q3_K_S",
-                "2.9GB"
-            ],
-            [
-                "7b-q4_0",
-                "3.8GB"
-            ],
-            [
-                "7b-q4_1",
-                "4.2GB"
-            ],
-            [
-                "7b-q4_K_M",
-                "4.1GB"
-            ],
-            [
-                "7b-q4_K_S",
-                "3.9GB"
-            ],
-            [
-                "7b-q5_0",
-                "4.7GB"
-            ],
-            [
-                "7b-q5_1",
-                "5.1GB"
-            ],
-            [
-                "7b-q5_K_M",
-                "4.8GB"
-            ],
-            [
-                "7b-q5_K_S",
-                "4.7GB"
-            ],
-            [
-                "7b-q6_K",
-                "5.5GB"
-            ],
-            [
-                "7b-q8_0",
-                "7.2GB"
-            ]
-        ],
-        "image": false,
-        "author": "EPFL LLM Team"
-    },
-    "moondream": {
-        "url": "https://ollama.com/library/moondream",
-        "description": "moondream2 is a small vision language model designed to run efficiently on edge devices.",
-        "tags": [
-            [
-                "latest",
-                "1.7GB"
-            ],
-            [
-                "1.8b",
-                "1.7GB"
-            ],
-            [
-                "v2",
-                "1.7GB"
-            ],
-            [
-                "1.8b-v2-fp16",
-                "3.7GB"
-            ],
-            [
-                "1.8b-v2-q2_K",
-                "1.5GB"
-            ],
-            [
-                "1.8b-v2-q3_K_L",
-                "1.7GB"
-            ],
-            [
-                "1.8b-v2-q3_K_M",
-                "1.7GB"
-            ],
-            [
-                "1.8b-v2-q3_K_S",
-                "1.6GB"
-            ],
-            [
-                "1.8b-v2-q4_0",
-                "1.7GB"
-            ],
-            [
-                "1.8b-v2-q4_1",
-                "1.8GB"
-            ],
-            [
-                "1.8b-v2-q4_K_M",
-                "1.8GB"
-            ],
-            [
-                "1.8b-v2-q4_K_S",
-                "1.7GB"
-            ],
-            [
-                "1.8b-v2-q5_0",
-                "1.9GB"
-            ],
-            [
-                "1.8b-v2-q5_1",
-                "2.0GB"
-            ],
-            [
-                "1.8b-v2-q5_K_M",
-                "2.0GB"
-            ],
-            [
-                "1.8b-v2-q5_K_S",
-                "1.9GB"
-            ],
-            [
-                "1.8b-v2-q6_K",
-                "2.1GB"
-            ],
-            [
-                "1.8b-v2-q8_0",
-                "2.4GB"
-            ]
-        ],
-        "image": true,
-        "author": "Vikhyatk"
-    },
-    "everythinglm": {
-        "url": "https://ollama.com/library/everythinglm",
-        "description": "Uncensored Llama2 based model with support for a 16K context window.",
-        "tags": [
-            [
-                "latest",
-                "7.4GB"
-            ],
-            [
-                "13b",
-                "7.4GB"
-            ],
-            [
-                "13b-16k",
-                "7.4GB"
-            ],
-            [
-                "13b-16k-fp16",
-                "26GB"
-            ],
-            [
-                "13b-16k-q2_K",
-                "5.4GB"
-            ],
-            [
-                "13b-16k-q3_K_L",
-                "6.9GB"
-            ],
-            [
-                "13b-16k-q3_K_M",
-                "6.3GB"
-            ],
-            [
-                "13b-16k-q3_K_S",
-                "5.7GB"
-            ],
-            [
-                "13b-16k-q4_0",
-                "7.4GB"
-            ],
-            [
-                "13b-16k-q4_1",
-                "8.2GB"
-            ],
-            [
-                "13b-16k-q4_K_M",
-                "7.9GB"
-            ],
-            [
-                "13b-16k-q4_K_S",
-                "7.4GB"
-            ],
-            [
-                "13b-16k-q5_0",
-                "9.0GB"
-            ],
-            [
-                "13b-16k-q5_1",
-                "9.8GB"
-            ],
-            [
-                "13b-16k-q5_K_M",
-                "9.2GB"
-            ],
-            [
-                "13b-16k-q5_K_S",
-                "9.0GB"
-            ],
-            [
-                "13b-16k-q6_K",
-                "11GB"
-            ],
-            [
-                "13b-16k-q8_0",
-                "14GB"
-            ]
-        ],
-        "image": false,
-        "author": "Totally Not An LLM"
-    },
-    "nexusraven": {
-        "url": "https://ollama.com/library/nexusraven",
-        "description": "Nexus Raven is a 13B instruction tuned model for function calling tasks.",
-        "tags": [
-            [
-                "latest",
-                "7.4GB"
-            ],
-            [
-                "13b",
-                "7.4GB"
-            ],
-            [
-                "13b-v2-fp16",
-                "26GB"
-            ],
-            [
-                "13b-v2-q2_K",
-                "5.4GB"
-            ],
-            [
-                "13b-v2-q3_K_L",
-                "6.9GB"
-            ],
-            [
-                "13b-v2-q3_K_M",
-                "6.3GB"
-            ],
-            [
-                "13b-v2-q3_K_S",
-                "5.7GB"
-            ],
-            [
-                "13b-v2-q4_0",
-                "7.4GB"
-            ],
-            [
-                "13b-v2-q4_1",
-                "8.2GB"
-            ],
-            [
-                "13b-v2-q4_K_M",
-                "7.9GB"
-            ],
-            [
-                "13b-v2-q4_K_S",
-                "7.4GB"
-            ],
-            [
-                "13b-v2-q5_0",
-                "9.0GB"
-            ],
-            [
-                "13b-v2-q5_1",
-                "9.8GB"
-            ],
-            [
-                "13b-v2-q5_K_M",
-                "9.2GB"
-            ],
-            [
-                "13b-v2-q5_K_S",
-                "9.0GB"
-            ],
-            [
-                "13b-v2-q6_K",
-                "11GB"
-            ],
-            [
-                "13b-v2-q8_0",
-                "14GB"
-            ],
-            [
-                "13b-fp16",
-                "26GB"
-            ],
-            [
-                "13b-q2_K",
-                "5.4GB"
-            ],
-            [
-                "13b-q3_K_L",
-                "6.9GB"
-            ],
-            [
-                "13b-q3_K_M",
-                "6.3GB"
-            ],
-            [
-                "13b-q3_K_S",
-                "5.7GB"
-            ],
-            [
-                "13b-q4_0",
-                "7.4GB"
-            ],
-            [
-                "13b-q4_1",
-                "8.2GB"
-            ],
-            [
-                "13b-q4_K_M",
-                "7.9GB"
-            ],
-            [
-                "13b-q4_K_S",
-                "7.4GB"
-            ],
-            [
-                "13b-q5_0",
-                "9.0GB"
-            ],
-            [
-                "13b-q5_1",
-                "9.8GB"
-            ],
-            [
-                "13b-q5_K_M",
-                "9.2GB"
-            ],
-            [
-                "13b-q5_K_S",
-                "9.0GB"
-            ],
-            [
-                "13b-q6_K",
-                "11GB"
-            ],
-            [
-                "13b-q8_0",
-                "14GB"
-            ]
-        ],
-        "image": false,
-        "author": "NexusFlow AI"
-    },
-    "magicoder": {
-        "url": "https://ollama.com/library/magicoder",
-        "description": "\ud83c\udfa9 Magicoder is a family of 7B parameter models trained on 75K synthetic instruction data using OSS-Instruct, a novel approach to enlightening LLMs with open-source code snippets.",
-        "tags": [
-            [
-                "latest",
-                "3.8GB"
-            ],
-            [
-                "7b",
-                "3.8GB"
-            ],
-            [
-                "7b-s-cl",
-                "3.8GB"
-            ],
-            [
-                "7b-s-cl-fp16",
-                "13GB"
-            ],
-            [
-                "7b-s-cl-q2_K",
-                "2.8GB"
-            ],
-            [
-                "7b-s-cl-q3_K_L",
-                "3.6GB"
-            ],
-            [
-                "7b-s-cl-q3_K_M",
-                "3.3GB"
-            ],
-            [
-                "7b-s-cl-q3_K_S",
-                "2.9GB"
-            ],
-            [
-                "7b-s-cl-q4_0",
-                "3.8GB"
-            ],
-            [
-                "7b-s-cl-q4_1",
-                "4.2GB"
-            ],
-            [
-                "7b-s-cl-q4_K_M",
-                "4.1GB"
-            ],
-            [
-                "7b-s-cl-q4_K_S",
-                "3.9GB"
-            ],
-            [
-                "7b-s-cl-q5_0",
-                "4.7GB"
-            ],
-            [
-                "7b-s-cl-q5_1",
-                "5.1GB"
-            ],
-            [
-                "7b-s-cl-q5_K_M",
-                "4.8GB"
-            ],
-            [
-                "7b-s-cl-q5_K_S",
-                "4.7GB"
-            ],
-            [
-                "7b-s-cl-q6_K",
-                "5.5GB"
-            ],
-            [
-                "7b-s-cl-q8_0",
-                "7.2GB"
-            ]
-        ],
-        "image": false,
-        "author": "iSE"
-    },
     "deepseek-v2": {
         "url": "https://ollama.com/library/deepseek-v2",
         "description": "A strong, economical, and efficient Mixture-of-Experts language model.",
@@ -18235,6 +17891,506 @@
         "image": false,
         "author": "DeepSeek Team"
     },
+    "meditron": {
+        "url": "https://ollama.com/library/meditron",
+        "description": "Open-source medical large language model adapted from Llama 2 to the medical domain.",
+        "tags": [
+            [
+                "latest",
+                "3.8GB"
+            ],
+            [
+                "70b",
+                "39GB"
+            ],
+            [
+                "7b",
+                "3.8GB"
+            ],
+            [
+                "70b-q4_0",
+                "39GB"
+            ],
+            [
+                "70b-q4_1",
+                "43GB"
+            ],
+            [
+                "70b-q4_K_S",
+                "39GB"
+            ],
+            [
+                "70b-q5_1",
+                "52GB"
+            ],
+            [
+                "7b-fp16",
+                "13GB"
+            ],
+            [
+                "7b-q2_K",
+                "2.8GB"
+            ],
+            [
+                "7b-q3_K_L",
+                "3.6GB"
+            ],
+            [
+                "7b-q3_K_M",
+                "3.3GB"
+            ],
+            [
+                "7b-q3_K_S",
+                "2.9GB"
+            ],
+            [
+                "7b-q4_0",
+                "3.8GB"
+            ],
+            [
+                "7b-q4_1",
+                "4.2GB"
+            ],
+            [
+                "7b-q4_K_M",
+                "4.1GB"
+            ],
+            [
+                "7b-q4_K_S",
+                "3.9GB"
+            ],
+            [
+                "7b-q5_0",
+                "4.7GB"
+            ],
+            [
+                "7b-q5_1",
+                "5.1GB"
+            ],
+            [
+                "7b-q5_K_M",
+                "4.8GB"
+            ],
+            [
+                "7b-q5_K_S",
+                "4.7GB"
+            ],
+            [
+                "7b-q6_K",
+                "5.5GB"
+            ],
+            [
+                "7b-q8_0",
+                "7.2GB"
+            ]
+        ],
+        "image": false,
+        "author": "EPFL LLM Team"
+    },
+    "codeup": {
+        "url": "https://ollama.com/library/codeup",
+        "description": "Great code generation model based on Llama2.",
+        "tags": [
+            [
+                "latest",
+                "7.4GB"
+            ],
+            [
+                "13b",
+                "7.4GB"
+            ],
+            [
+                "13b-llama2",
+                "7.4GB"
+            ],
+            [
+                "13b-llama2-chat",
+                "7.4GB"
+            ],
+            [
+                "13b-llama2-chat-fp16",
+                "26GB"
+            ],
+            [
+                "13b-llama2-chat-q2_K",
+                "5.4GB"
+            ],
+            [
+                "13b-llama2-chat-q3_K_L",
+                "6.9GB"
+            ],
+            [
+                "13b-llama2-chat-q3_K_M",
+                "6.3GB"
+            ],
+            [
+                "13b-llama2-chat-q3_K_S",
+                "5.7GB"
+            ],
+            [
+                "13b-llama2-chat-q4_0",
+                "7.4GB"
+            ],
+            [
+                "13b-llama2-chat-q4_1",
+                "8.2GB"
+            ],
+            [
+                "13b-llama2-chat-q4_K_M",
+                "7.9GB"
+            ],
+            [
+                "13b-llama2-chat-q4_K_S",
+                "7.4GB"
+            ],
+            [
+                "13b-llama2-chat-q5_0",
+                "9.0GB"
+            ],
+            [
+                "13b-llama2-chat-q5_1",
+                "9.8GB"
+            ],
+            [
+                "13b-llama2-chat-q5_K_M",
+                "9.2GB"
+            ],
+            [
+                "13b-llama2-chat-q5_K_S",
+                "9.0GB"
+            ],
+            [
+                "13b-llama2-chat-q6_K",
+                "11GB"
+            ],
+            [
+                "13b-llama2-chat-q8_0",
+                "14GB"
+            ]
+        ],
+        "image": false,
+        "author": "DeepSE"
+    },
+    "nexusraven": {
+        "url": "https://ollama.com/library/nexusraven",
+        "description": "Nexus Raven is a 13B instruction tuned model for function calling tasks.",
+        "tags": [
+            [
+                "latest",
+                "7.4GB"
+            ],
+            [
+                "13b",
+                "7.4GB"
+            ],
+            [
+                "13b-v2-fp16",
+                "26GB"
+            ],
+            [
+                "13b-v2-q2_K",
+                "5.4GB"
+            ],
+            [
+                "13b-v2-q3_K_L",
+                "6.9GB"
+            ],
+            [
+                "13b-v2-q3_K_M",
+                "6.3GB"
+            ],
+            [
+                "13b-v2-q3_K_S",
+                "5.7GB"
+            ],
+            [
+                "13b-v2-q4_0",
+                "7.4GB"
+            ],
+            [
+                "13b-v2-q4_1",
+                "8.2GB"
+            ],
+            [
+                "13b-v2-q4_K_M",
+                "7.9GB"
+            ],
+            [
+                "13b-v2-q4_K_S",
+                "7.4GB"
+            ],
+            [
+                "13b-v2-q5_0",
+                "9.0GB"
+            ],
+            [
+                "13b-v2-q5_1",
+                "9.8GB"
+            ],
+            [
+                "13b-v2-q5_K_M",
+                "9.2GB"
+            ],
+            [
+                "13b-v2-q5_K_S",
+                "9.0GB"
+            ],
+            [
+                "13b-v2-q6_K",
+                "11GB"
+            ],
+            [
+                "13b-v2-q8_0",
+                "14GB"
+            ],
+            [
+                "13b-fp16",
+                "26GB"
+            ],
+            [
+                "13b-q2_K",
+                "5.4GB"
+            ],
+            [
+                "13b-q3_K_L",
+                "6.9GB"
+            ],
+            [
+                "13b-q3_K_M",
+                "6.3GB"
+            ],
+            [
+                "13b-q3_K_S",
+                "5.7GB"
+            ],
+            [
+                "13b-q4_0",
+                "7.4GB"
+            ],
+            [
+                "13b-q4_1",
+                "8.2GB"
+            ],
+            [
+                "13b-q4_K_M",
+                "7.9GB"
+            ],
+            [
+                "13b-q4_K_S",
+                "7.4GB"
+            ],
+            [
+                "13b-q5_0",
+                "9.0GB"
+            ],
+            [
+                "13b-q5_1",
+                "9.8GB"
+            ],
+            [
+                "13b-q5_K_M",
+                "9.2GB"
+            ],
+            [
+                "13b-q5_K_S",
+                "9.0GB"
+            ],
+            [
+                "13b-q6_K",
+                "11GB"
+            ],
+            [
+                "13b-q8_0",
+                "14GB"
+            ]
+        ],
+        "image": false,
+        "author": "NexusFlow AI"
+    },
+    "everythinglm": {
+        "url": "https://ollama.com/library/everythinglm",
+        "description": "Uncensored Llama2 based model with support for a 16K context window.",
+        "tags": [
+            [
+                "latest",
+                "7.4GB"
+            ],
+            [
+                "13b",
+                "7.4GB"
+            ],
+            [
+                "13b-16k",
+                "7.4GB"
+            ],
+            [
+                "13b-16k-fp16",
+                "26GB"
+            ],
+            [
+                "13b-16k-q2_K",
+                "5.4GB"
+            ],
+            [
+                "13b-16k-q3_K_L",
+                "6.9GB"
+            ],
+            [
+                "13b-16k-q3_K_M",
+                "6.3GB"
+            ],
+            [
+                "13b-16k-q3_K_S",
+                "5.7GB"
+            ],
+            [
+                "13b-16k-q4_0",
+                "7.4GB"
+            ],
+            [
+                "13b-16k-q4_1",
+                "8.2GB"
+            ],
+            [
+                "13b-16k-q4_K_M",
+                "7.9GB"
+            ],
+            [
+                "13b-16k-q4_K_S",
+                "7.4GB"
+            ],
+            [
+                "13b-16k-q5_0",
+                "9.0GB"
+            ],
+            [
+                "13b-16k-q5_1",
+                "9.8GB"
+            ],
+            [
+                "13b-16k-q5_K_M",
+                "9.2GB"
+            ],
+            [
+                "13b-16k-q5_K_S",
+                "9.0GB"
+            ],
+            [
+                "13b-16k-q6_K",
+                "11GB"
+            ],
+            [
+                "13b-16k-q8_0",
+                "14GB"
+            ]
+        ],
+        "image": false,
+        "author": "Totally Not An LLM"
+    },
+    "llava-phi3": {
+        "url": "https://ollama.com/library/llava-phi3",
+        "description": "A new small LLaVA model fine-tuned from Phi 3 Mini.",
+        "tags": [
+            [
+                "latest",
+                "2.9GB"
+            ],
+            [
+                "3.8b",
+                "2.9GB"
+            ],
+            [
+                "3.8b-mini-fp16",
+                "8.3GB"
+            ],
+            [
+                "3.8b-mini-q4_0",
+                "2.9GB"
+            ]
+        ],
+        "image": false,
+        "author": "Xtuner"
+    },
+    "magicoder": {
+        "url": "https://ollama.com/library/magicoder",
+        "description": "\ud83c\udfa9 Magicoder is a family of 7B parameter models trained on 75K synthetic instruction data using OSS-Instruct, a novel approach to enlightening LLMs with open-source code snippets.",
+        "tags": [
+            [
+                "latest",
+                "3.8GB"
+            ],
+            [
+                "7b",
+                "3.8GB"
+            ],
+            [
+                "7b-s-cl",
+                "3.8GB"
+            ],
+            [
+                "7b-s-cl-fp16",
+                "13GB"
+            ],
+            [
+                "7b-s-cl-q2_K",
+                "2.8GB"
+            ],
+            [
+                "7b-s-cl-q3_K_L",
+                "3.6GB"
+            ],
+            [
+                "7b-s-cl-q3_K_M",
+                "3.3GB"
+            ],
+            [
+                "7b-s-cl-q3_K_S",
+                "2.9GB"
+            ],
+            [
+                "7b-s-cl-q4_0",
+                "3.8GB"
+            ],
+            [
+                "7b-s-cl-q4_1",
+                "4.2GB"
+            ],
+            [
+                "7b-s-cl-q4_K_M",
+                "4.1GB"
+            ],
+            [
+                "7b-s-cl-q4_K_S",
+                "3.9GB"
+            ],
+            [
+                "7b-s-cl-q5_0",
+                "4.7GB"
+            ],
+            [
+                "7b-s-cl-q5_1",
+                "5.1GB"
+            ],
+            [
+                "7b-s-cl-q5_K_M",
+                "4.8GB"
+            ],
+            [
+                "7b-s-cl-q5_K_S",
+                "4.7GB"
+            ],
+            [
+                "7b-s-cl-q6_K",
+                "5.5GB"
+            ],
+            [
+                "7b-s-cl-q8_0",
+                "7.2GB"
+            ]
+        ],
+        "image": false,
+        "author": "iSE"
+    },
     "stablelm-zephyr": {
         "url": "https://ollama.com/library/stablelm-zephyr",
         "description": "A lightweight chat model allowing accurate, and responsive output without requiring high-end hardware.",
@@ -18383,30 +18539,6 @@
         "image": false,
         "author": "Oobabooga"
     },
-    "llava-phi3": {
-        "url": "https://ollama.com/library/llava-phi3",
-        "description": "A new small LLaVA model fine-tuned from Phi 3 Mini.",
-        "tags": [
-            [
-                "latest",
-                "2.9GB"
-            ],
-            [
-                "3.8b",
-                "2.9GB"
-            ],
-            [
-                "3.8b-mini-fp16",
-                "8.3GB"
-            ],
-            [
-                "3.8b-mini-q4_0",
-                "2.9GB"
-            ]
-        ],
-        "image": false,
-        "author": "Xtuner"
-    },
     "mistrallite": {
         "url": "https://ollama.com/library/mistrallite",
         "description": "MistralLite is a fine-tuned model based on Mistral with enhanced capabilities of processing long contexts.",
@@ -18483,77 +18615,273 @@
         "image": false,
         "author": "Amazon Web Services"
     },
-    "wizard-vicuna": {
-        "url": "https://ollama.com/library/wizard-vicuna",
-        "description": "Wizard Vicuna is a 13B parameter model based on Llama 2 trained by MelodysDreamj.",
+    "glm4": {
+        "url": "https://ollama.com/library/glm4",
+        "description": "A strong multi-lingual general language model with competitive performance to Llama 3.",
         "tags": [
             [
                 "latest",
-                "7.4GB"
+                "5.5GB"
             ],
             [
-                "13b",
-                "7.4GB"
+                "9b",
+                "5.5GB"
             ],
             [
-                "13b-fp16",
-                "26GB"
+                "9b-chat-fp16",
+                "19GB"
             ],
             [
-                "13b-q2_K",
-                "5.4GB"
+                "9b-chat-q2_K",
+                "4.0GB"
             ],
             [
-                "13b-q3_K_L",
-                "6.9GB"
+                "9b-chat-q3_K_L",
+                "5.3GB"
             ],
             [
-                "13b-q3_K_M",
+                "9b-chat-q3_K_M",
+                "5.1GB"
+            ],
+            [
+                "9b-chat-q3_K_S",
+                "4.6GB"
+            ],
+            [
+                "9b-chat-q4_0",
+                "5.5GB"
+            ],
+            [
+                "9b-chat-q4_1",
+                "6.0GB"
+            ],
+            [
+                "9b-chat-q4_K_M",
                 "6.3GB"
             ],
             [
-                "13b-q3_K_S",
-                "5.7GB"
+                "9b-chat-q4_K_S",
+                "5.8GB"
             ],
             [
-                "13b-q4_0",
-                "7.4GB"
+                "9b-chat-q5_0",
+                "6.6GB"
             ],
             [
-                "13b-q4_1",
-                "8.2GB"
+                "9b-chat-q5_1",
+                "7.1GB"
             ],
             [
-                "13b-q4_K_M",
-                "7.9GB"
+                "9b-chat-q5_K_M",
+                "7.1GB"
             ],
             [
-                "13b-q4_K_S",
-                "7.4GB"
+                "9b-chat-q5_K_S",
+                "6.7GB"
             ],
             [
-                "13b-q5_0",
-                "9.0GB"
+                "9b-chat-q6_K",
+                "8.3GB"
             ],
             [
-                "13b-q5_1",
-                "9.8GB"
+                "9b-chat-q8_0",
+                "10.0GB"
             ],
             [
-                "13b-q5_K_M",
-                "9.2GB"
+                "9b-text-fp16",
+                "19GB"
             ],
             [
-                "13b-q5_K_S",
-                "9.0GB"
+                "9b-text-q2_K",
+                "4.0GB"
             ],
             [
-                "13b-q6_K",
-                "11GB"
+                "9b-text-q3_K_L",
+                "5.3GB"
             ],
             [
-                "13b-q8_0",
-                "14GB"
+                "9b-text-q3_K_M",
+                "5.1GB"
+            ],
+            [
+                "9b-text-q3_K_S",
+                "4.6GB"
+            ],
+            [
+                "9b-text-q4_0",
+                "5.5GB"
+            ],
+            [
+                "9b-text-q4_1",
+                "6.0GB"
+            ],
+            [
+                "9b-text-q4_K_M",
+                "6.3GB"
+            ],
+            [
+                "9b-text-q4_K_S",
+                "5.8GB"
+            ],
+            [
+                "9b-text-q5_0",
+                "6.6GB"
+            ],
+            [
+                "9b-text-q5_1",
+                "7.1GB"
+            ],
+            [
+                "9b-text-q5_K_M",
+                "7.1GB"
+            ],
+            [
+                "9b-text-q5_K_S",
+                "6.7GB"
+            ],
+            [
+                "9b-text-q6_K",
+                "8.3GB"
+            ],
+            [
+                "9b-text-q8_0",
+                "10.0GB"
+            ]
+        ],
+        "image": false,
+        "author": "THUDM"
+    },
+    "wizard-vicuna": {
+        "url": "https://ollama.com/library/wizard-vicuna",
+        "description": "A strong multi-lingual general language model with competitive performance to Llama 3.",
+        "tags": [
+            [
+                "latest",
+                "5.5GB"
+            ],
+            [
+                "9b",
+                "5.5GB"
+            ],
+            [
+                "9b-chat-fp16",
+                "19GB"
+            ],
+            [
+                "9b-chat-q2_K",
+                "4.0GB"
+            ],
+            [
+                "9b-chat-q3_K_L",
+                "5.3GB"
+            ],
+            [
+                "9b-chat-q3_K_M",
+                "5.1GB"
+            ],
+            [
+                "9b-chat-q3_K_S",
+                "4.6GB"
+            ],
+            [
+                "9b-chat-q4_0",
+                "5.5GB"
+            ],
+            [
+                "9b-chat-q4_1",
+                "6.0GB"
+            ],
+            [
+                "9b-chat-q4_K_M",
+                "6.3GB"
+            ],
+            [
+                "9b-chat-q4_K_S",
+                "5.8GB"
+            ],
+            [
+                "9b-chat-q5_0",
+                "6.6GB"
+            ],
+            [
+                "9b-chat-q5_1",
+                "7.1GB"
+            ],
+            [
+                "9b-chat-q5_K_M",
+                "7.1GB"
+            ],
+            [
+                "9b-chat-q5_K_S",
+                "6.7GB"
+            ],
+            [
+                "9b-chat-q6_K",
+                "8.3GB"
+            ],
+            [
+                "9b-chat-q8_0",
+                "10.0GB"
+            ],
+            [
+                "9b-text-fp16",
+                "19GB"
+            ],
+            [
+                "9b-text-q2_K",
+                "4.0GB"
+            ],
+            [
+                "9b-text-q3_K_L",
+                "5.3GB"
+            ],
+            [
+                "9b-text-q3_K_M",
+                "5.1GB"
+            ],
+            [
+                "9b-text-q3_K_S",
+                "4.6GB"
+            ],
+            [
+                "9b-text-q4_0",
+                "5.5GB"
+            ],
+            [
+                "9b-text-q4_1",
+                "6.0GB"
+            ],
+            [
+                "9b-text-q4_K_M",
+                "6.3GB"
+            ],
+            [
+                "9b-text-q4_K_S",
+                "5.8GB"
+            ],
+            [
+                "9b-text-q5_0",
+                "6.6GB"
+            ],
+            [
+                "9b-text-q5_1",
+                "7.1GB"
+            ],
+            [
+                "9b-text-q5_K_M",
+                "7.1GB"
+            ],
+            [
+                "9b-text-q5_K_S",
+                "6.7GB"
+            ],
+            [
+                "9b-text-q6_K",
+                "8.3GB"
+            ],
+            [
+                "9b-text-q8_0",
+                "10.0GB"
             ]
         ],
         "image": false,
@@ -18635,78 +18963,6 @@
         "image": false,
         "author": "MotherDuck, Numbers Station"
     },
-    "goliath": {
-        "url": "https://ollama.com/library/goliath",
-        "description": "A language model created by combining two fine-tuned Llama 2 70B models into one.",
-        "tags": [
-            [
-                "latest",
-                "66GB"
-            ],
-            [
-                "120b-fp16",
-                "236GB"
-            ],
-            [
-                "120b-q2_K",
-                "50GB"
-            ],
-            [
-                "120b-q3_K_L",
-                "62GB"
-            ],
-            [
-                "120b-q3_K_M",
-                "56GB"
-            ],
-            [
-                "120b-q3_K_S",
-                "51GB"
-            ],
-            [
-                "120b-q4_0",
-                "66GB"
-            ],
-            [
-                "120b-q4_1",
-                "74GB"
-            ],
-            [
-                "120b-q4_K_M",
-                "71GB"
-            ],
-            [
-                "120b-q4_K_S",
-                "66GB"
-            ],
-            [
-                "120b-q5_0",
-                "81GB"
-            ],
-            [
-                "120b-q5_1",
-                "88GB"
-            ],
-            [
-                "120b-q5_K_M",
-                "83GB"
-            ],
-            [
-                "120b-q5_K_S",
-                "81GB"
-            ],
-            [
-                "120b-q6_K",
-                "97GB"
-            ],
-            [
-                "120b-q8_0",
-                "125GB"
-            ]
-        ],
-        "image": false,
-        "author": "Alpindale"
-    },
     "megadolphin": {
         "url": "https://ollama.com/library/megadolphin",
         "description": "MegaDolphin-2.2-120b is a transformation of Dolphin-2.2-70b created by interleaving the model with itself.",
@@ -18791,81 +19047,77 @@
         "image": false,
         "author": "Cognitive Computations"
     },
-    "open-orca-platypus2": {
-        "url": "https://ollama.com/library/open-orca-platypus2",
-        "description": "Merge of the Open Orca OpenChat model and the Garage-bAInd Platypus 2 model. Designed for chat and code generation.",
+    "goliath": {
+        "url": "https://ollama.com/library/goliath",
+        "description": "A language model created by combining two fine-tuned Llama 2 70B models into one.",
         "tags": [
             [
                 "latest",
-                "7.4GB"
+                "66GB"
             ],
             [
-                "13b",
-                "7.4GB"
+                "120b-q4_0",
+                "66GB"
             ],
             [
-                "13b-fp16",
-                "26GB"
+                "120b-fp16",
+                "236GB"
             ],
             [
-                "13b-q2_K",
-                "5.4GB"
+                "120b-q2_K",
+                "50GB"
             ],
             [
-                "13b-q3_K_L",
-                "6.9GB"
+                "120b-q3_K_L",
+                "62GB"
             ],
             [
-                "13b-q3_K_M",
-                "6.3GB"
+                "120b-q3_K_M",
+                "56GB"
             ],
             [
-                "13b-q3_K_S",
-                "5.7GB"
+                "120b-q3_K_S",
+                "51GB"
             ],
             [
-                "13b-q4_0",
-                "7.4GB"
+                "120b-q4_1",
+                "74GB"
             ],
             [
-                "13b-q4_1",
-                "8.2GB"
+                "120b-q4_K_M",
+                "71GB"
             ],
             [
-                "13b-q4_K_M",
-                "7.9GB"
+                "120b-q4_K_S",
+                "66GB"
             ],
             [
-                "13b-q4_K_S",
-                "7.4GB"
+                "120b-q5_0",
+                "81GB"
             ],
             [
-                "13b-q5_0",
-                "9.0GB"
+                "120b-q5_1",
+                "88GB"
             ],
             [
-                "13b-q5_1",
-                "9.8GB"
+                "120b-q5_K_M",
+                "83GB"
             ],
             [
-                "13b-q5_K_M",
-                "9.2GB"
+                "120b-q5_K_S",
+                "81GB"
             ],
             [
-                "13b-q5_K_S",
-                "9.0GB"
+                "120b-q6_K",
+                "97GB"
             ],
             [
-                "13b-q6_K",
-                "11GB"
-            ],
-            [
-                "13b-q8_0",
-                "14GB"
+                "120b-q8_0",
+                "125GB"
             ]
         ],
         "image": false,
-        "author": "Open Orca"
+        "author": "Alpindale"
     },
     "notux": {
         "url": "https://ollama.com/library/notux",
@@ -18947,6 +19199,158 @@
         "image": false,
         "author": "Argilla"
     },
+    "open-orca-platypus2": {
+        "url": "https://ollama.com/library/open-orca-platypus2",
+        "description": "Merge of the Open Orca OpenChat model and the Garage-bAInd Platypus 2 model. Designed for chat and code generation.",
+        "tags": [
+            [
+                "latest",
+                "7.4GB"
+            ],
+            [
+                "13b",
+                "7.4GB"
+            ],
+            [
+                "13b-fp16",
+                "26GB"
+            ],
+            [
+                "13b-q2_K",
+                "5.4GB"
+            ],
+            [
+                "13b-q3_K_L",
+                "6.9GB"
+            ],
+            [
+                "13b-q3_K_M",
+                "6.3GB"
+            ],
+            [
+                "13b-q3_K_S",
+                "5.7GB"
+            ],
+            [
+                "13b-q4_0",
+                "7.4GB"
+            ],
+            [
+                "13b-q4_1",
+                "8.2GB"
+            ],
+            [
+                "13b-q4_K_M",
+                "7.9GB"
+            ],
+            [
+                "13b-q4_K_S",
+                "7.4GB"
+            ],
+            [
+                "13b-q5_0",
+                "9.0GB"
+            ],
+            [
+                "13b-q5_1",
+                "9.8GB"
+            ],
+            [
+                "13b-q5_K_M",
+                "9.2GB"
+            ],
+            [
+                "13b-q5_K_S",
+                "9.0GB"
+            ],
+            [
+                "13b-q6_K",
+                "11GB"
+            ],
+            [
+                "13b-q8_0",
+                "14GB"
+            ]
+        ],
+        "image": false,
+        "author": "Open Orca"
+    },
+    "falcon2": {
+        "url": "https://ollama.com/library/falcon2",
+        "description": "Falcon2 is an 11B parameters causal decoder-only model built by TII and trained over 5T tokens.",
+        "tags": [
+            [
+                "latest",
+                "6.4GB"
+            ],
+            [
+                "11b",
+                "6.4GB"
+            ],
+            [
+                "11b-fp16",
+                "22GB"
+            ],
+            [
+                "11b-q2_K",
+                "4.3GB"
+            ],
+            [
+                "11b-q3_K_L",
+                "5.8GB"
+            ],
+            [
+                "11b-q3_K_M",
+                "5.4GB"
+            ],
+            [
+                "11b-q3_K_S",
+                "4.9GB"
+            ],
+            [
+                "11b-q4_0",
+                "6.4GB"
+            ],
+            [
+                "11b-q4_1",
+                "7.1GB"
+            ],
+            [
+                "11b-q4_K_M",
+                "6.8GB"
+            ],
+            [
+                "11b-q4_K_S",
+                "6.4GB"
+            ],
+            [
+                "11b-q5_0",
+                "7.7GB"
+            ],
+            [
+                "11b-q5_1",
+                "8.4GB"
+            ],
+            [
+                "11b-q5_K_M",
+                "8.2GB"
+            ],
+            [
+                "11b-q5_K_S",
+                "7.7GB"
+            ],
+            [
+                "11b-q6_K",
+                "9.2GB"
+            ],
+            [
+                "11b-q8_0",
+                "12GB"
+            ]
+        ],
+        "image": false,
+        "author": "Technology Innovation Institute"
+    },
     "notus": {
         "url": "https://ollama.com/library/notus",
         "description": "A 7B chat model fine-tuned with high-quality data and based on Zephyr.",
@@ -19063,81 +19467,81 @@
         "image": false,
         "author": "Databricks"
     },
-    "falcon2": {
-        "url": "https://ollama.com/library/falcon2",
-        "description": "Falcon2 is an 11B parameters causal decoder-only model built by TII and trained over 5T tokens.",
+    "codegeex4": {
+        "url": "https://ollama.com/library/codegeex4",
+        "description": "A versatile model for AI software development scenarios, including code completion.",
         "tags": [
             [
                 "latest",
-                "6.4GB"
+                "5.5GB"
             ],
             [
-                "11b",
-                "6.4GB"
+                "9b",
+                "5.5GB"
             ],
             [
-                "11b-fp16",
-                "22GB"
+                "9b-all-fp16",
+                "19GB"
             ],
             [
-                "11b-q2_K",
-                "4.3GB"
+                "9b-all-q2_K",
+                "4.0GB"
             ],
             [
-                "11b-q3_K_L",
+                "9b-all-q3_K_L",
+                "5.3GB"
+            ],
+            [
+                "9b-all-q3_K_M",
+                "5.1GB"
+            ],
+            [
+                "9b-all-q3_K_S",
+                "4.6GB"
+            ],
+            [
+                "9b-all-q4_0",
+                "5.5GB"
+            ],
+            [
+                "9b-all-q4_1",
+                "6.0GB"
+            ],
+            [
+                "9b-all-q4_K_M",
+                "6.3GB"
+            ],
+            [
+                "9b-all-q4_K_S",
                 "5.8GB"
             ],
             [
-                "11b-q3_K_M",
-                "5.4GB"
+                "9b-all-q5_0",
+                "6.6GB"
             ],
             [
-                "11b-q3_K_S",
-                "4.9GB"
-            ],
-            [
-                "11b-q4_0",
-                "6.4GB"
-            ],
-            [
-                "11b-q4_1",
+                "9b-all-q5_1",
                 "7.1GB"
             ],
             [
-                "11b-q4_K_M",
-                "6.8GB"
+                "9b-all-q5_K_M",
+                "7.1GB"
             ],
             [
-                "11b-q4_K_S",
-                "6.4GB"
+                "9b-all-q5_K_S",
+                "6.7GB"
             ],
             [
-                "11b-q5_0",
-                "7.7GB"
+                "9b-all-q6_K",
+                "8.3GB"
             ],
             [
-                "11b-q5_1",
-                "8.4GB"
-            ],
-            [
-                "11b-q5_K_M",
-                "8.2GB"
-            ],
-            [
-                "11b-q5_K_S",
-                "7.7GB"
-            ],
-            [
-                "11b-q6_K",
-                "9.2GB"
-            ],
-            [
-                "11b-q8_0",
-                "12GB"
+                "9b-all-q8_0",
+                "10.0GB"
             ]
         ],
         "image": false,
-        "author": "Technology Innovation Institute"
+        "author": "THUDM"
     },
     "alfred": {
         "url": "https://ollama.com/library/alfred",
@@ -19174,5 +19578,525 @@
         ],
         "image": false,
         "author": "LightOn AI"
+    },
+    "internlm2": {
+        "url": "https://ollama.com/library/internlm2",
+        "description": "InternLM2.5 is a 7B parameter model tailored for practical scenarios with outstanding reasoning capability.",
+        "tags": [
+            [
+                "latest",
+                "4.5GB"
+            ],
+            [
+                "7b",
+                "4.5GB"
+            ],
+            [
+                "7b-chat-v2.5-fp16",
+                "15GB"
+            ],
+            [
+                "7b-chat-v2.5-q2_K",
+                "3.0GB"
+            ],
+            [
+                "7b-chat-v2.5-q3_K_L",
+                "4.1GB"
+            ],
+            [
+                "7b-chat-v2.5-q3_K_M",
+                "3.8GB"
+            ],
+            [
+                "7b-chat-v2.5-q3_K_S",
+                "3.5GB"
+            ],
+            [
+                "7b-chat-v2.5-q4_0",
+                "4.5GB"
+            ],
+            [
+                "7b-chat-v2.5-q4_1",
+                "4.9GB"
+            ],
+            [
+                "7b-chat-v2.5-q4_K_M",
+                "4.7GB"
+            ],
+            [
+                "7b-chat-v2.5-q4_K_S",
+                "4.5GB"
+            ],
+            [
+                "7b-chat-v2.5-q5_0",
+                "5.4GB"
+            ],
+            [
+                "7b-chat-v2.5-q5_1",
+                "5.8GB"
+            ],
+            [
+                "7b-chat-v2.5-q5_K_M",
+                "5.5GB"
+            ],
+            [
+                "7b-chat-v2.5-q5_K_S",
+                "5.4GB"
+            ],
+            [
+                "7b-chat-v2.5-q6_K",
+                "6.4GB"
+            ],
+            [
+                "7b-chat-v2.5-q8_0",
+                "8.2GB"
+            ]
+        ],
+        "image": false,
+        "author": "InternLM"
+    },
+    "llama3-groq-tool-use": {
+        "url": "https://ollama.com/library/llama3-groq-tool-use",
+        "description": "A series of models from Groq that represent a significant advancement in open-source AI capabilities for tool use/function calling.",
+        "tags": [
+            [
+                "latest",
+                "4.7GB"
+            ],
+            [
+                "70b",
+                "40GB"
+            ],
+            [
+                "8b",
+                "4.7GB"
+            ],
+            [
+                "70b-fp16",
+                "141GB"
+            ],
+            [
+                "70b-q2_K",
+                "26GB"
+            ],
+            [
+                "70b-q3_K_L",
+                "37GB"
+            ],
+            [
+                "70b-q3_K_M",
+                "34GB"
+            ],
+            [
+                "70b-q3_K_S",
+                "31GB"
+            ],
+            [
+                "70b-q4_0",
+                "40GB"
+            ],
+            [
+                "70b-q4_1",
+                "44GB"
+            ],
+            [
+                "70b-q4_K_M",
+                "43GB"
+            ],
+            [
+                "70b-q4_K_S",
+                "40GB"
+            ],
+            [
+                "70b-q5_0",
+                "49GB"
+            ],
+            [
+                "70b-q5_1",
+                "53GB"
+            ],
+            [
+                "70b-q5_K_M",
+                "50GB"
+            ],
+            [
+                "70b-q5_K_S",
+                "49GB"
+            ],
+            [
+                "70b-q6_K",
+                "58GB"
+            ],
+            [
+                "70b-q8_0",
+                "75GB"
+            ],
+            [
+                "8b-fp16",
+                "16GB"
+            ],
+            [
+                "8b-q2_K",
+                "3.2GB"
+            ],
+            [
+                "8b-q3_K_L",
+                "4.3GB"
+            ],
+            [
+                "8b-q3_K_M",
+                "4.0GB"
+            ],
+            [
+                "8b-q3_K_S",
+                "3.7GB"
+            ],
+            [
+                "8b-q4_0",
+                "4.7GB"
+            ],
+            [
+                "8b-q4_1",
+                "5.1GB"
+            ],
+            [
+                "8b-q4_K_M",
+                "4.9GB"
+            ],
+            [
+                "8b-q4_K_S",
+                "4.7GB"
+            ],
+            [
+                "8b-q5_0",
+                "5.6GB"
+            ],
+            [
+                "8b-q5_1",
+                "6.1GB"
+            ],
+            [
+                "8b-q5_K_M",
+                "5.7GB"
+            ],
+            [
+                "8b-q5_K_S",
+                "5.6GB"
+            ],
+            [
+                "8b-q6_K",
+                "6.6GB"
+            ],
+            [
+                "8b-q8_0",
+                "8.5GB"
+            ]
+        ],
+        "image": false,
+        "author": "Groq Inc"
+    },
+    "mathstral": {
+        "url": "https://ollama.com/library/mathstral",
+        "description": "Math\u03a3tral: a 7B model designed for math reasoning and scientific discovery by Mistral AI.",
+        "tags": [
+            [
+                "latest",
+                "4.1GB"
+            ],
+            [
+                "7b",
+                "4.1GB"
+            ],
+            [
+                "7b-v0.1-fp16",
+                "14GB"
+            ],
+            [
+                "7b-v0.1-q2_K",
+                "2.7GB"
+            ],
+            [
+                "7b-v0.1-q3_K_L",
+                "3.8GB"
+            ],
+            [
+                "7b-v0.1-q3_K_M",
+                "3.5GB"
+            ],
+            [
+                "7b-v0.1-q3_K_S",
+                "3.2GB"
+            ],
+            [
+                "7b-v0.1-q4_0",
+                "4.1GB"
+            ],
+            [
+                "7b-v0.1-q4_1",
+                "4.6GB"
+            ],
+            [
+                "7b-v0.1-q4_K_M",
+                "4.4GB"
+            ],
+            [
+                "7b-v0.1-q4_K_S",
+                "4.1GB"
+            ],
+            [
+                "7b-v0.1-q5_0",
+                "5.0GB"
+            ],
+            [
+                "7b-v0.1-q5_1",
+                "5.4GB"
+            ],
+            [
+                "7b-v0.1-q5_K_M",
+                "5.1GB"
+            ],
+            [
+                "7b-v0.1-q5_K_S",
+                "5.0GB"
+            ],
+            [
+                "7b-v0.1-q6_K",
+                "5.9GB"
+            ],
+            [
+                "7b-v0.1-q8_0",
+                "7.7GB"
+            ]
+        ],
+        "image": false,
+        "author": "Mistral AI"
+    },
+    "mistral-nemo": {
+        "url": "https://ollama.com/library/mistral-nemo",
+        "description": "A state-of-the-art 12B model with 128k context length, built by Mistral AI in collaboration with NVIDIA.",
+        "tags": [
+            [
+                "latest",
+                "7.1GB"
+            ],
+            [
+                "12b",
+                "7.1GB"
+            ],
+            [
+                "12b-instruct-2407-fp16",
+                "25GB"
+            ],
+            [
+                "12b-instruct-2407-q2_K",
+                "4.8GB"
+            ],
+            [
+                "12b-instruct-2407-q3_K_L",
+                "6.6GB"
+            ],
+            [
+                "12b-instruct-2407-q3_K_M",
+                "6.1GB"
+            ],
+            [
+                "12b-instruct-2407-q3_K_S",
+                "5.5GB"
+            ],
+            [
+                "12b-instruct-2407-q4_0",
+                "7.1GB"
+            ],
+            [
+                "12b-instruct-2407-q4_1",
+                "7.8GB"
+            ],
+            [
+                "12b-instruct-2407-q4_K_M",
+                "7.5GB"
+            ],
+            [
+                "12b-instruct-2407-q4_K_S",
+                "7.1GB"
+            ],
+            [
+                "12b-instruct-2407-q5_0",
+                "8.5GB"
+            ],
+            [
+                "12b-instruct-2407-q5_1",
+                "9.2GB"
+            ],
+            [
+                "12b-instruct-2407-q5_K_M",
+                "8.7GB"
+            ],
+            [
+                "12b-instruct-2407-q5_K_S",
+                "8.5GB"
+            ],
+            [
+                "12b-instruct-2407-q6_K",
+                "10GB"
+            ],
+            [
+                "12b-instruct-2407-q8_0",
+                "13GB"
+            ]
+        ],
+        "image": false,
+        "author": "Mistral AI"
+    },
+    "firefunction-v2": {
+        "url": "https://ollama.com/library/firefunction-v2",
+        "description": "An open weights function calling model based on Llama 3, competitive with GPT-4o function calling capabilities.",
+        "tags": [
+            [
+                "latest",
+                "40GB"
+            ],
+            [
+                "70b",
+                "40GB"
+            ],
+            [
+                "70b-fp16",
+                "141GB"
+            ],
+            [
+                "70b-q2_K",
+                "26GB"
+            ],
+            [
+                "70b-q3_K_L",
+                "37GB"
+            ],
+            [
+                "70b-q3_K_M",
+                "34GB"
+            ],
+            [
+                "70b-q3_K_S",
+                "31GB"
+            ],
+            [
+                "70b-q4_0",
+                "40GB"
+            ],
+            [
+                "70b-q4_1",
+                "44GB"
+            ],
+            [
+                "70b-q4_K_M",
+                "43GB"
+            ],
+            [
+                "70b-q4_K_S",
+                "40GB"
+            ],
+            [
+                "70b-q5_0",
+                "49GB"
+            ],
+            [
+                "70b-q5_1",
+                "53GB"
+            ],
+            [
+                "70b-q5_K_M",
+                "50GB"
+            ],
+            [
+                "70b-q5_K_S",
+                "49GB"
+            ],
+            [
+                "70b-q6_K",
+                "58GB"
+            ],
+            [
+                "70b-q8_0",
+                "75GB"
+            ]
+        ],
+        "image": false,
+        "author": "Fireworks AI"
+    },
+    "nuextract": {
+        "url": "https://ollama.com/library/nuextract",
+        "description": "A 3.8B model fine-tuned on a private high-quality synthetic dataset for information extraction, based on Phi-3.",
+        "tags": [
+            [
+                "latest",
+                "2.2GB"
+            ],
+            [
+                "3.8b",
+                "2.2GB"
+            ],
+            [
+                "3.8b-fp16",
+                "7.6GB"
+            ],
+            [
+                "3.8b-q2_K",
+                "1.4GB"
+            ],
+            [
+                "3.8b-q3_K_L",
+                "2.1GB"
+            ],
+            [
+                "3.8b-q3_K_M",
+                "2.0GB"
+            ],
+            [
+                "3.8b-q3_K_S",
+                "1.7GB"
+            ],
+            [
+                "3.8b-q4_0",
+                "2.2GB"
+            ],
+            [
+                "3.8b-q4_1",
+                "2.4GB"
+            ],
+            [
+                "3.8b-q4_K_M",
+                "2.4GB"
+            ],
+            [
+                "3.8b-q4_K_S",
+                "2.2GB"
+            ],
+            [
+                "3.8b-q5_0",
+                "2.6GB"
+            ],
+            [
+                "3.8b-q5_1",
+                "2.9GB"
+            ],
+            [
+                "3.8b-q5_K_M",
+                "2.8GB"
+            ],
+            [
+                "3.8b-q5_K_S",
+                "2.6GB"
+            ],
+            [
+                "3.8b-q6_K",
+                "3.1GB"
+            ],
+            [
+                "3.8b-q8_0",
+                "4.1GB"
+            ]
+        ],
+        "image": false,
+        "author": "NuMind"
     }
 }
\ No newline at end of file
diff --git a/src/available_models_descriptions.py b/src/available_models_descriptions.py
index 4652a63..4069b31 100644
--- a/src/available_models_descriptions.py
+++ b/src/available_models_descriptions.py
@@ -16,80 +16,88 @@ descriptions = {
    'llama2': _("Llama 2 is a collection of foundation language models ranging from 7B to 70B parameters."),
    'codellama': _("A large language model that can use text prompts to generate and discuss code."),
    'dolphin-mixtral': _("Uncensored, 8x7b and 8x22b fine-tuned models based on the Mixtral mixture of experts models that excels at coding tasks. Created by Eric Hartford."),
+   'nomic-embed-text': _("A high-performing open embedding model with a large token context window."),
    'llama2-uncensored': _("Uncensored Llama 2 model by George Sung and Jarrad Hope."),
    'deepseek-coder': _("DeepSeek Coder is a capable coding model trained on two trillion code and natural language tokens."),
-   'nomic-embed-text': _("A high-performing open embedding model with a large token context window."),
    'phi': _("Phi-2: a 2.7B language model by Microsoft Research that demonstrates outstanding reasoning and language understanding capabilities."),
    'dolphin-mistral': _("The uncensored Dolphin model based on Mistral that excels at coding tasks. Updated to version 2.8."),
-   'mistral-openorca': _("Mistral OpenOrca is a 7 billion parameter model, fine-tuned on top of the Mistral 7B model using the OpenOrca dataset."),
    'orca-mini': _("A general-purpose model ranging from 3 billion parameters to 70 billion, suitable for entry-level hardware."),
-   'mxbai-embed-large': _("State-of-the-art large embedding model from mixedbread.ai"),
    'dolphin-llama3': _("Dolphin 2.9 is a new model with 8B and 70B sizes by Eric Hartford based on Llama 3 that has a variety of instruction, conversational, and coding skills."),
+   'mxbai-embed-large': _("State-of-the-art large embedding model from mixedbread.ai"),
+   'mistral-openorca': _("Mistral OpenOrca is a 7 billion parameter model, fine-tuned on top of the Mistral 7B model using the OpenOrca dataset."),
    'starcoder2': _("StarCoder2 is the next generation of transparently trained open code LLMs that comes in three sizes: 3B, 7B and 15B parameters."),
-   'llama2-chinese': _("Llama 2 based model fine tuned to improve Chinese dialogue ability."),
    'zephyr': _("Zephyr is a series of fine-tuned versions of the Mistral and Mixtral models that are trained to act as helpful assistants."),
    'yi': _("Yi 1.5 is a high-performing, bilingual language model."),
-   'nous-hermes2': _("The powerful family of models by Nous Research that excels at scientific discussion and coding tasks."),
+   'llama2-chinese': _("Llama 2 based model fine tuned to improve Chinese dialogue ability."),
+   'llava-llama3': _("A LLaVA model fine-tuned from Llama 3 Instruct with better scores in several benchmarks."),
    'vicuna': _("General use chat model based on Llama and Llama 2 with 2K to 16K context sizes."),
+   'nous-hermes2': _("The powerful family of models by Nous Research that excels at scientific discussion and coding tasks."),
    'wizard-vicuna-uncensored': _("Wizard Vicuna Uncensored is a 7B, 13B, and 30B parameter model based on Llama 2 uncensored by Eric Hartford."),
    'tinyllama': _("The TinyLlama project is an open endeavor to train a compact 1.1B Llama model on 3 trillion tokens."),
-   'wizardlm2': _("State of the art large language model from Microsoft AI with improved performance on complex chat, multilingual, reasoning and agent use cases."),
-   'starcoder': _("StarCoder is a code generation model trained on 80+ programming languages."),
    'codestral': _("Codestral is Mistral AI’s first-ever code model designed for code generation tasks."),
+   'starcoder': _("StarCoder is a code generation model trained on 80+ programming languages."),
+   'wizardlm2': _("State of the art large language model from Microsoft AI with improved performance on complex chat, multilingual, reasoning and agent use cases."),
    'openchat': _("A family of open-source models trained on a wide variety of data, surpassing ChatGPT on various benchmarks. Updated to version 3.5-0106."),
    'tinydolphin': _("An experimental 1.1B parameter model trained on the new Dolphin 2.8 dataset by Eric Hartford and based on TinyLlama."),
    'openhermes': _("OpenHermes 2.5 is a 7B model fine-tuned by Teknium on Mistral with fully open datasets."),
    'wizardcoder': _("State-of-the-art code generation model"),
    'stable-code': _("Stable Code 3B is a coding model with instruct and code completion variants on par with models such as Code Llama 7B that are 2.5x larger."),
+   'codeqwen': _("CodeQwen1.5 is a large language model pretrained on a large amount of code data."),
    'neural-chat': _("A fine-tuned model based on Mistral with good coverage of domain and language."),
    'wizard-math': _("Model focused on math and logic problems"),
-   'codeqwen': _("CodeQwen1.5 is a large language model pretrained on a large amount of code data."),
-   'phind-codellama': _("Code generation model based on Code Llama."),
    'stablelm2': _("Stable LM 2 is a state-of-the-art 1.6B and 12B parameter language model trained on multilingual data in English, Spanish, German, Italian, French, Portuguese, and Dutch."),
-   'dolphincoder': _("A 7B and 15B uncensored variant of the Dolphin model family that excels at coding, based on StarCoder2."),
    'all-minilm': _("Embedding models on very large sentence level datasets."),
+   'granite-code': _("A family of open foundation models by IBM for Code Intelligence"),
+   'phind-codellama': _("Code generation model based on Code Llama."),
+   'dolphincoder': _("A 7B and 15B uncensored variant of the Dolphin model family that excels at coding, based on StarCoder2."),
    'nous-hermes': _("General use models based on Llama and Llama 2 from Nous Research."),
-   'starling-lm': _("Starling is a large language model trained by reinforcement learning from AI feedback focused on improving chatbot helpfulness."),
    'sqlcoder': _("SQLCoder is a code completion model fined-tuned on StarCoder for SQL generation tasks"),
-   'orca2': _("Orca 2 is built by Microsoft research, and are a fine-tuned version of Meta's Llama 2 models. The model is designed to excel particularly in reasoning."),
    'llama3-gradient': _("This model extends LLama-3 8B's context length from 8k to over 1m tokens."),
+   'starling-lm': _("Starling is a large language model trained by reinforcement learning from AI feedback focused on improving chatbot helpfulness."),
    'deepseek-llm': _("An advanced language model crafted with 2 trillion bilingual tokens."),
    'yarn-llama2': _("An extension of Llama 2 that supports a context of up to 128k tokens."),
-   'llama3-chatqa': _("A model from NVIDIA based on Llama 3 that excels at conversational question answering (QA) and retrieval-augmented generation (RAG)."),
-   'solar': _("A compact, yet powerful 10.7B large language model designed for single-turn conversation."),
    'xwinlm': _("Conversational model based on Llama 2 that performs competitively on various benchmarks."),
-   'granite-code': _("A family of open foundation models by IBM for Code Intelligence"),
-   'dolphin-phi': _("2.7B uncensored Dolphin model by Eric Hartford, based on the Phi language model by Microsoft Research."),
+   'llama3-chatqa': _("A model from NVIDIA based on Llama 3 that excels at conversational question answering (QA) and retrieval-augmented generation (RAG)."),
+   'orca2': _("Orca 2 is built by Microsoft research, and are a fine-tuned version of Meta's Llama 2 models. The model is designed to excel particularly in reasoning."),
+   'solar': _("A compact, yet powerful 10.7B large language model designed for single-turn conversation."),
    'wizardlm': _("General use model based on Llama 2."),
    'samantha-mistral': _("A companion assistant trained in philosophy, psychology, and personal relationships. Based on Mistral."),
+   'dolphin-phi': _("2.7B uncensored Dolphin model by Eric Hartford, based on the Phi language model by Microsoft Research."),
    'stable-beluga': _("Llama 2 based model fine tuned on an Orca-style dataset. Originally called Free Willy."),
-   'bakllava': _("BakLLaVA is a multimodal model consisting of the Mistral 7B base model augmented with the LLaVA architecture."),
-   'llava-llama3': _("A LLaVA model fine-tuned from Llama 3 Instruct with better scores in several benchmarks."),
-   'wizardlm-uncensored': _("Uncensored version of Wizard LM model"),
-   'medllama2': _("Fine-tuned Llama 2 model to answer medical questions based on an open source medical dataset."),
-   'nous-hermes2-mixtral': _("The Nous Hermes 2 model from Nous Research, now trained over Mixtral."),
-   'yarn-mistral': _("An extension of Mistral to support context windows of 64K or 128K."),
-   'snowflake-arctic-embed': _("A suite of text embedding models by Snowflake, optimized for performance."),
-   'llama-pro': _("An expansion of Llama 2 that specializes in integrating both general language understanding and domain-specific knowledge, particularly in programming and mathematics."),
-   'codeup': _("Great code generation model based on Llama2."),
-   'meditron': _("Open-source medical large language model adapted from Llama 2 to the medical domain."),
    'moondream': _("moondream2 is a small vision language model designed to run efficiently on edge devices."),
-   'everythinglm': _("Uncensored Llama2 based model with support for a 16K context window."),
-   'nexusraven': _("Nexus Raven is a 13B instruction tuned model for function calling tasks."),
-   'magicoder': _("🎩 Magicoder is a family of 7B parameter models trained on 75K synthetic instruction data using OSS-Instruct, a novel approach to enlightening LLMs with open-source code snippets."),
+   'bakllava': _("BakLLaVA is a multimodal model consisting of the Mistral 7B base model augmented with the LLaVA architecture."),
+   'wizardlm-uncensored': _("Uncensored version of Wizard LM model"),
+   'snowflake-arctic-embed': _("A suite of text embedding models by Snowflake, optimized for performance."),
+   'medllama2': _("Fine-tuned Llama 2 model to answer medical questions based on an open source medical dataset."),
+   'yarn-mistral': _("An extension of Mistral to support context windows of 64K or 128K."),
+   'nous-hermes2-mixtral': _("The Nous Hermes 2 model from Nous Research, now trained over Mixtral."),
+   'llama-pro': _("An expansion of Llama 2 that specializes in integrating both general language understanding and domain-specific knowledge, particularly in programming and mathematics."),
    'deepseek-v2': _("A strong, economical, and efficient Mixture-of-Experts language model."),
+   'meditron': _("Open-source medical large language model adapted from Llama 2 to the medical domain."),
+   'codeup': _("Great code generation model based on Llama2."),
+   'nexusraven': _("Nexus Raven is a 13B instruction tuned model for function calling tasks."),
+   'everythinglm': _("Uncensored Llama2 based model with support for a 16K context window."),
+   'llava-phi3': _("A new small LLaVA model fine-tuned from Phi 3 Mini."),
+   'magicoder': _("🎩 Magicoder is a family of 7B parameter models trained on 75K synthetic instruction data using OSS-Instruct, a novel approach to enlightening LLMs with open-source code snippets."),
    'stablelm-zephyr': _("A lightweight chat model allowing accurate, and responsive output without requiring high-end hardware."),
    'codebooga': _("A high-performing code instruct model created by merging two existing code models."),
-   'llava-phi3': _("A new small LLaVA model fine-tuned from Phi 3 Mini."),
    'mistrallite': _("MistralLite is a fine-tuned model based on Mistral with enhanced capabilities of processing long contexts."),
-   'wizard-vicuna': _("Wizard Vicuna is a 13B parameter model based on Llama 2 trained by MelodysDreamj."),
+   'glm4': _("A strong multi-lingual general language model with competitive performance to Llama 3."),
+   'wizard-vicuna': _("A strong multi-lingual general language model with competitive performance to Llama 3."),
    'duckdb-nsql': _("7B parameter text-to-SQL model made by MotherDuck and Numbers Station."),
-   'goliath': _("A language model created by combining two fine-tuned Llama 2 70B models into one."),
    'megadolphin': _("MegaDolphin-2.2-120b is a transformation of Dolphin-2.2-70b created by interleaving the model with itself."),
-   'open-orca-platypus2': _("Merge of the Open Orca OpenChat model and the Garage-bAInd Platypus 2 model. Designed for chat and code generation."),
+   'goliath': _("A language model created by combining two fine-tuned Llama 2 70B models into one."),
    'notux': _("A top-performing mixture of experts model, fine-tuned with high-quality data."),
+   'open-orca-platypus2': _("Merge of the Open Orca OpenChat model and the Garage-bAInd Platypus 2 model. Designed for chat and code generation."),
+   'falcon2': _("Falcon2 is an 11B parameters causal decoder-only model built by TII and trained over 5T tokens."),
    'notus': _("A 7B chat model fine-tuned with high-quality data and based on Zephyr."),
    'dbrx': _("DBRX is an open, general-purpose LLM created by Databricks."),
-   'falcon2': _("Falcon2 is an 11B parameters causal decoder-only model built by TII and trained over 5T tokens."),
+   'codegeex4': _("A versatile model for AI software development scenarios, including code completion."),
    'alfred': _("A robust conversational model designed to be used for both chat and instruct use cases."),
+   'internlm2': _("InternLM2.5 is a 7B parameter model tailored for practical scenarios with outstanding reasoning capability."),
+   'llama3-groq-tool-use': _("A series of models from Groq that represent a significant advancement in open-source AI capabilities for tool use/function calling."),
+   'mathstral': _("MathΣtral: a 7B model designed for math reasoning and scientific discovery by Mistral AI."),
+   'mistral-nemo': _("A state-of-the-art 12B model with 128k context length, built by Mistral AI in collaboration with NVIDIA."),
+   'firefunction-v2': _("An open weights function calling model based on Llama 3, competitive with GPT-4o function calling capabilities."),
+   'nuextract': _("A 3.8B model fine-tuned on a private high-quality synthetic dataset for information extraction, based on Phi-3."),
 }
\ No newline at end of file