diff --git a/src/available_models.json b/src/available_models.json
index a747be1..7a06694 100644
--- a/src/available_models.json
+++ b/src/available_models.json
@@ -1 +1 @@
-{"llama3": {"url": "https://ollama.com/library/llama3", "description": "Meta Llama 3: The most capable openly available LLM to date", "tags": [["latest", "4.7GB"], ["70b", "40GB"], ["8b", "4.7GB"], ["instruct", "4.7GB"], ["text", "4.7GB"], ["70b-instruct", "40GB"], ["70b-instruct-fp16", "141GB"], ["70b-instruct-q2_K", "26GB"], ["70b-instruct-q3_K_L", "37GB"], ["70b-instruct-q3_K_M", "34GB"], ["70b-instruct-q3_K_S", "31GB"], ["70b-instruct-q4_0", "40GB"], ["70b-instruct-q4_1", "44GB"], ["70b-instruct-q4_K_M", "43GB"], ["70b-instruct-q4_K_S", "40GB"], ["70b-instruct-q5_0", "49GB"], ["70b-instruct-q5_1", "53GB"], ["70b-instruct-q5_K_M", "50GB"], ["70b-instruct-q5_K_S", "49GB"], ["70b-instruct-q6_K", "58GB"], ["70b-instruct-q8_0", "75GB"], ["70b-text", "40GB"], ["70b-text-fp16", "141GB"], ["70b-text-q2_K", "26GB"], ["70b-text-q3_K_L", "37GB"], ["70b-text-q3_K_M", "34GB"], ["70b-text-q3_K_S", "31GB"], ["70b-text-q4_0", "40GB"], ["70b-text-q4_1", "44GB"], ["70b-text-q4_K_M", "43GB"], ["70b-text-q4_K_S", "40GB"], ["70b-text-q5_0", "49GB"], ["70b-text-q5_1", "53GB"], ["70b-text-q5_K_M", "50GB"], ["70b-text-q5_K_S", "49GB"], ["70b-text-q6_K", "58GB"], ["70b-text-q8_0", "75GB"], ["8b-instruct-fp16", "16GB"], ["8b-instruct-q2_K", "3.2GB"], ["8b-instruct-q3_K_L", "4.3GB"], ["8b-instruct-q3_K_M", "4.0GB"], ["8b-instruct-q3_K_S", "3.7GB"], ["8b-instruct-q4_0", "4.7GB"], ["8b-instruct-q4_1", "5.1GB"], ["8b-instruct-q4_K_M", "4.9GB"], ["8b-instruct-q4_K_S", "4.7GB"], ["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", "8.5GB"], ["8b-text", "4.7GB"], ["8b-text-fp16", "16GB"], ["8b-text-q2_K", "3.2GB"], ["8b-text-q3_K_L", "4.3GB"], ["8b-text-q3_K_M", "4.0GB"], ["8b-text-q3_K_S", "3.7GB"], ["8b-text-q4_0", "4.7GB"], ["8b-text-q4_1", "5.1GB"], ["8b-text-q4_K_M", "4.9GB"], ["8b-text-q4_K_S", "4.7GB"], ["8b-text-q5_0", "5.6GB"], ["8b-text-q5_1", "6.1GB"], ["8b-text-q5_K_M", "5.7GB"], ["8b-text-q5_K_S", "5.6GB"], ["8b-text-q6_K", "6.6GB"], ["8b-text-q8_0", "8.5GB"]], "image": false}, "qwen2": {"url": "https://ollama.com/library/qwen2", "description": "Qwen2 is a new series of large language models from Alibaba group", "tags": [["latest", "4.4GB"], ["72b", "41GB"], ["7b", "4.4GB"], ["1.5b", "935MB"], ["0.5b", "352MB"], ["72b-instruct", "41GB"], ["72b-instruct-fp16", "145GB"], ["72b-instruct-q2_K", "30GB"], ["72b-instruct-q3_K_L", "40GB"], ["72b-instruct-q3_K_M", "38GB"], ["72b-instruct-q3_K_S", "34GB"], ["72b-instruct-q4_0", "41GB"], ["72b-instruct-q4_1", "46GB"], ["72b-instruct-q4_K_M", "47GB"], ["72b-instruct-q4_K_S", "44GB"], ["72b-instruct-q5_0", "50GB"], ["72b-instruct-q5_1", "55GB"], ["72b-instruct-q5_K_M", "54GB"], ["72b-instruct-q5_K_S", "51GB"], ["72b-instruct-q6_K", "64GB"], ["72b-instruct-q8_0", "77GB"], ["72b-text", "41GB"], ["72b-text-fp16", "145GB"], ["72b-text-q2_K", "30GB"], ["72b-text-q3_K_L", "40GB"], ["72b-text-q3_K_M", "38GB"], ["72b-text-q3_K_S", "34GB"], ["72b-text-q4_0", "41GB"], ["72b-text-q4_1", "46GB"], ["72b-text-q4_K_M", "47GB"], ["72b-text-q4_K_S", "44GB"], ["72b-text-q5_0", "50GB"], ["72b-text-q5_1", "55GB"], ["72b-text-q5_K_M", "54GB"], ["72b-text-q5_K_S", "51GB"], ["72b-text-q6_K", "64GB"], ["72b-text-q8_0", "77GB"], ["7b-instruct", "4.4GB"], ["7b-instruct-fp16", "15GB"], ["7b-instruct-q2_K", "3.0GB"], ["7b-instruct-q3_K_L", "4.1GB"], ["7b-instruct-q3_K_M", "3.8GB"], ["7b-instruct-q3_K_S", "3.5GB"], ["7b-instruct-q4_0", "4.4GB"], ["7b-instruct-q4_1", "4.9GB"], ["7b-instruct-q4_K_M", "4.7GB"], ["7b-instruct-q4_K_S", "4.5GB"], ["7b-instruct-q5_0", "5.3GB"], ["7b-instruct-q5_1", "5.8GB"], ["7b-instruct-q5_K_M", "5.4GB"], ["7b-instruct-q5_K_S", "5.3GB"], ["7b-instruct-q6_K", "6.3GB"], ["7b-instruct-q8_0", "8.1GB"], ["7b-text", "4.4GB"], ["7b-text-q2_K", "3.0GB"], ["7b-text-q3_K_L", "4.1GB"], ["7b-text-q3_K_M", "3.8GB"], ["7b-text-q3_K_S", "3.5GB"], ["7b-text-q4_0", "4.4GB"], ["7b-text-q4_1", "4.9GB"], ["7b-text-q4_K_M", "4.7GB"], ["7b-text-q4_K_S", "4.5GB"], ["7b-text-q5_0", "5.3GB"], ["7b-text-q5_1", "5.8GB"], ["7b-text-q8_0", "8.1GB"], ["1.5b-instruct", "935MB"], ["1.5b-instruct-fp16", "3.1GB"], ["1.5b-instruct-q2_K", "676MB"], ["1.5b-instruct-q3_K_L", "880MB"], ["1.5b-instruct-q3_K_M", "824MB"], ["1.5b-instruct-q3_K_S", "761MB"], ["1.5b-instruct-q4_0", "935MB"], ["1.5b-instruct-q4_1", "1.0GB"], ["1.5b-instruct-q4_K_M", "986MB"], ["1.5b-instruct-q4_K_S", "940MB"], ["1.5b-instruct-q5_0", "1.1GB"], ["1.5b-instruct-q5_1", "1.2GB"], ["1.5b-instruct-q5_K_M", "1.1GB"], ["1.5b-instruct-q5_K_S", "1.1GB"], ["1.5b-instruct-q6_K", "1.3GB"], ["1.5b-instruct-q8_0", "1.6GB"], ["0.5b-instruct", "352MB"], ["0.5b-instruct-fp16", "994MB"], ["0.5b-instruct-q2_K", "339MB"], ["0.5b-instruct-q3_K_L", "369MB"], ["0.5b-instruct-q3_K_M", "355MB"], ["0.5b-instruct-q3_K_S", "338MB"], ["0.5b-instruct-q4_0", "352MB"], ["0.5b-instruct-q4_1", "375MB"], ["0.5b-instruct-q4_K_M", "398MB"], ["0.5b-instruct-q4_K_S", "385MB"], ["0.5b-instruct-q5_0", "397MB"], ["0.5b-instruct-q5_1", "419MB"], ["0.5b-instruct-q5_K_M", "420MB"], ["0.5b-instruct-q5_K_S", "413MB"], ["0.5b-instruct-q6_K", "506MB"], ["0.5b-instruct-q8_0", "531MB"]], "image": false}, "phi3": {"url": "https://ollama.com/library/phi3", "description": "Phi-3 is a family of lightweight 3B (Mini) and 14B (Medium) state-of-the-art open models by Microsoft.", "tags": [["latest", "2.4GB"], ["14b", "7.9GB"], ["3.8b", "2.4GB"], ["instruct", "2.4GB"], ["medium", "7.9GB"], ["mini", "2.4GB"], ["14b-instruct", "7.9GB"], ["14b-medium-4k-instruct-f16", "28GB"], ["14b-medium-128k-instruct-f16", "28GB"], ["14b-medium-128k-instruct-q2_K", "5.1GB"], ["14b-medium-128k-instruct-q3_K_L", "7.5GB"], ["14b-medium-128k-instruct-q3_K_M", "6.9GB"], ["14b-medium-128k-instruct-q3_K_S", "6.1GB"], ["14b-medium-128k-instruct-q4_0", "7.9GB"], ["14b-medium-128k-instruct-q4_1", "8.8GB"], ["14b-medium-128k-instruct-q4_K_M", "8.6GB"], ["14b-medium-128k-instruct-q4_K_S", "8.0GB"], ["14b-medium-128k-instruct-q5_0", "9.6GB"], ["14b-medium-128k-instruct-q5_1", "10GB"], ["14b-medium-128k-instruct-q5_K_M", "10GB"], ["14b-medium-128k-instruct-q5_K_S", "9.6GB"], ["14b-medium-128k-instruct-q6_K", "11GB"], ["14b-medium-4k-instruct-q2_K", "5.1GB"], ["14b-medium-4k-instruct-q3_K_L", "7.5GB"], ["14b-medium-4k-instruct-q3_K_M", "6.9GB"], ["14b-medium-4k-instruct-q3_K_S", "6.1GB"], ["14b-medium-4k-instruct-q4_0", "7.9GB"], ["14b-medium-4k-instruct-q4_1", "8.8GB"], ["14b-medium-4k-instruct-q4_K_M", "8.6GB"], ["14b-medium-4k-instruct-q4_K_S", "8.0GB"], ["14b-medium-4k-instruct-q5_0", "9.6GB"], ["14b-medium-4k-instruct-q5_1", "10GB"], ["14b-medium-4k-instruct-q5_K_M", "10GB"], ["14b-medium-4k-instruct-q5_K_S", "9.6GB"], ["14b-medium-4k-instruct-q6_K", "11GB"], ["14b-medium-4k-instruct-q8_0", "15GB"], ["3.8b-instruct", "2.4GB"], ["3.8b-mini-128k-instruct-f16", "7.6GB"], ["3.8b-mini-4k-instruct-f16", "7.6GB"], ["3.8b-mini-128k-instruct-q2_K", "1.4GB"], ["3.8b-mini-128k-instruct-q3_K_L", "2.1GB"], ["3.8b-mini-128k-instruct-q3_K_M", "2.0GB"], ["3.8b-mini-128k-instruct-q3_K_S", "1.7GB"], ["3.8b-mini-128k-instruct-q4_0", "2.2GB"], ["3.8b-mini-128k-instruct-q4_1", "2.4GB"], ["3.8b-mini-128k-instruct-q4_K_M", "2.4GB"], ["3.8b-mini-128k-instruct-q4_K_S", "2.2GB"], ["3.8b-mini-128k-instruct-q5_0", "2.6GB"], ["3.8b-mini-128k-instruct-q5_1", "2.9GB"], ["3.8b-mini-128k-instruct-q5_K_M", "2.8GB"], ["3.8b-mini-128k-instruct-q5_K_S", "2.6GB"], ["3.8b-mini-128k-instruct-q6_K", "3.1GB"], ["3.8b-mini-128k-instruct-q8_0", "4.1GB"], ["3.8b-mini-4k-instruct-q2_K", "1.4GB"], ["3.8b-mini-4k-instruct-q3_K_L", "2.1GB"], ["3.8b-mini-4k-instruct-q3_K_M", "2.0GB"], ["3.8b-mini-4k-instruct-q3_K_S", "1.7GB"], ["3.8b-mini-4k-instruct-q4_0", "2.2GB"], ["3.8b-mini-4k-instruct-q4_1", "2.4GB"], ["3.8b-mini-4k-instruct-q4_K_M", "2.4GB"], ["3.8b-mini-4k-instruct-q4_K_S", "2.2GB"], ["3.8b-mini-4k-instruct-q5_0", "2.6GB"], ["3.8b-mini-4k-instruct-q5_1", "2.9GB"], ["3.8b-mini-4k-instruct-q5_K_M", "2.8GB"], ["3.8b-mini-4k-instruct-q5_K_S", "2.6GB"], ["3.8b-mini-4k-instruct-q6_K", "3.1GB"], ["3.8b-mini-4k-instruct-q8_0", "4.1GB"], ["3.8b-mini-instruct-4k-fp16", "7.6GB"], ["medium-128k", "7.9GB"], ["mini-128k", "2.2GB"]], "image": false}, "aya": {"url": "https://ollama.com/library/aya", "description": "Aya 23, released by Cohere, is a new family of state-of-the-art, multilingual models that support 23 languages.", "tags": [["latest", "4.8GB"], ["35b", "20GB"], ["8b", "4.8GB"], ["35b-23-f16", "70GB"], ["35b-23", "20GB"], ["35b-23-q2_K", "14GB"], ["35b-23-q3_K_L", "19GB"], ["35b-23-q3_K_M", "18GB"], ["35b-23-q3_K_S", "16GB"], ["35b-23-q4_0", "20GB"], ["35b-23-q4_1", "22GB"], ["35b-23-q4_K_M", "22GB"], ["35b-23-q4_K_S", "20GB"], ["35b-23-q5_0", "24GB"], ["35b-23-q5_1", "26GB"], ["35b-23-q5_K_M", "25GB"], ["35b-23-q5_K_S", "24GB"], ["35b-23-q6_K", "29GB"], ["35b-23-q8_0", "37GB"], ["8b-23", "4.8GB"], ["8b-23-f16", "16GB"], ["8b-23-q2_K", "3.4GB"], ["8b-23-q3_K_L", "4.5GB"], ["8b-23-q3_K_M", "4.2GB"], ["8b-23-q3_K_S", "3.9GB"], ["8b-23-q4_0", "4.8GB"], ["8b-23-q4_1", "5.2GB"], ["8b-23-q4_K_M", "5.1GB"], ["8b-23-q4_K_S", "4.8GB"], ["8b-23-q5_0", "5.7GB"], ["8b-23-q5_1", "6.1GB"], ["8b-23-q5_K_M", "5.8GB"], ["8b-23-q5_K_S", "5.7GB"], ["8b-23-q6_K", "6.6GB"], ["8b-23-q8_0", "8.5GB"]], "image": false}, "mistral": {"url": "https://ollama.com/library/mistral", "description": "The 7B model released by Mistral AI, updated to version 0.3.", "tags": [["latest", "4.1GB"], ["7b", "4.1GB"], ["instruct", "4.1GB"], ["text", "4.1GB"], ["v0.1", "4.1GB"], ["v0.2", "4.1GB"], ["v0.3", "4.1GB"], ["7b-instruct", "4.1GB"], ["7b-instruct-v0.2-fp16", "14GB"], ["7b-instruct-v0.2-q2_K", "3.1GB"], ["7b-instruct-q8_0", "7.7GB"], ["7b-instruct-q3_K_L", "3.8GB"], ["7b-instruct-v0.3-q4_1", "4.6GB"], ["7b-instruct-v0.2-q4_1", "4.6GB"], ["7b-instruct-v0.3-q3_K_M", "3.5GB"], ["7b-instruct-q4_K_M", "4.4GB"], ["7b-instruct-q4_K_S", "4.1GB"], ["7b-instruct-q4_0", "4.1GB"], ["7b-instruct-v0.3-q6_K", "5.9GB"], ["7b-instruct-v0.3-q5_1", "5.4GB"], ["7b-instruct-v0.3-fp16", "14GB"], ["7b-instruct-v0.3-q8_0", "7.7GB"], ["7b-instruct-v0.3-q5_K_S", "5.0GB"], ["7b-instruct-v0.2-q8_0", "7.7GB"], ["7b-instruct-v0.3-q5_0", "5.0GB"], ["7b-instruct-v0.3-q3_K_L", "3.8GB"], ["7b-instruct-v0.2-q3_K_L", "3.8GB"], ["7b-instruct-v0.3-q5_K_M", "5.1GB"], ["7b-instruct-v0.2-q3_K_S", "3.2GB"], ["7b-instruct-q3_K_S", "3.2GB"], ["7b-instruct-q2_K", "3.1GB"], ["7b-instruct-v0.2-q5_0", "5.0GB"], ["7b-instruct-v0.2-q5_K_M", "5.1GB"], ["7b-instruct-v0.2-q5_K_S", "5.0GB"], ["7b-instruct-v0.2-q5_1", "5.4GB"], ["7b-instruct-v0.3-q3_K_S", "3.2GB"], ["7b-instruct-v0.3-q4_0", "4.1GB"], ["7b-instruct-v0.3-q2_K", "2.7GB"], ["7b-instruct-v0.3-q4_K_M", "4.4GB"], ["7b-instruct-v0.3-q4_K_S", "4.1GB"], ["7b-instruct-q5_0", "5.0GB"], ["7b-instruct-q4_1", "4.6GB"], ["7b-instruct-v0.2-q4_0", "4.1GB"], ["7b-instruct-v0.2-q3_K_M", "3.5GB"], ["7b-instruct-v0.2-q6_K", "5.9GB"], ["7b-instruct-q5_1", "5.4GB"], ["7b-instruct-q6_K", "5.9GB"], ["7b-instruct-q5_K_S", "5.0GB"], ["7b-instruct-v0.2-q4_K_M", "4.4GB"], ["7b-instruct-v0.2-q4_K_S", "4.1GB"], ["7b-instruct-q3_K_M", "3.5GB"], ["7b-instruct-q5_K_M", "5.1GB"], ["7b-instruct-fp16", "14GB"], ["7b-text", "4.1GB"], ["7b-text-v0.2-fp16", "14GB"], ["7b-text-v0.2-q2_K", "2.7GB"], ["7b-text-v0.2-q3_K_L", "3.8GB"], ["7b-text-v0.2-q3_K_M", "3.5GB"], ["7b-text-v0.2-q3_K_S", "3.2GB"], ["7b-text-v0.2-q4_0", "4.1GB"], ["7b-text-q5_1", "5.4GB"], ["7b-text-q5_0", "5.0GB"], ["7b-text-q4_K_M", "4.4GB"], ["7b-text-v0.2-q6_K", "5.9GB"], ["7b-text-v0.2-q5_0", "5.0GB"], ["7b-text-v0.2-q5_K_M", "5.1GB"], ["7b-text-fp16", "14GB"], ["7b-text-q4_1", "4.6GB"], ["7b-text-v0.2-q4_1", "4.6GB"], ["7b-text-q3_K_L", "3.8GB"], ["7b-text-q3_K_S", "3.2GB"], ["7b-text-q3_K_M", "3.5GB"], ["7b-text-q2_K", "3.1GB"], ["7b-text-q4_0", "4.1GB"], ["7b-text-q4_K_S", "4.1GB"], ["7b-text-v0.2-q4_K_M", 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Updated to version 1.1", "tags": [["latest", "5.0GB"], ["7b", "5.0GB"], ["2b", "1.7GB"], ["instruct", "5.0GB"], ["text", "5.2GB"], ["v1.1", "5.0GB"], ["7b-instruct", "5.0GB"], ["7b-instruct-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-v1.1-q3_K_S", "4.0GB"], ["7b-instruct-v1.1-q3_K_M", "4.4GB"], ["7b-instruct-q6_K", "7.2GB"], ["7b-instruct-q5_1", "6.7GB"], ["7b-instruct-q4_K_S", "5.2GB"], ["7b-instruct-q8_0", "9.1GB"], ["7b-instruct-q5_K_M", "6.3GB"], ["7b-instruct-v1.1-q3_K_L", "4.7GB"], ["7b-instruct-v1.1-fp16", "17GB"], ["7b-instruct-q4_1", "5.7GB"], ["7b-instruct-v1.1-q2_K", "3.5GB"], ["7b-instruct-q5_K_S", "6.2GB"], ["7b-instruct-q4_K_M", "5.5GB"], ["7b-instruct-q5_0", "6.2GB"], ["7b-instruct-q4_0", "5.2GB"], ["7b-instruct-v1.1-q5_0", "6.0GB"], ["7b-instruct-v1.1-q4_K_S", "5.0GB"], ["7b-instruct-v1.1-q4_K_M", "5.3GB"], ["7b-instruct-v1.1-q4_1", "5.5GB"], 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\ No newline at end of file
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["33m-s-fp16", "67MB"], ["22m-xs-fp16", "46MB"], ["m-long", "274MB"]], "image": false, "author": "Snowflake"}, "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"}, "stablelm-zephyr": {"url": "https://ollama.com/library/stablelm-zephyr", "description": "A lightweight chat model allowing accurate, and responsive output without requiring high-end hardware.", "tags": [["latest", "1.6GB"], ["3b", "1.6GB"], ["3b-fp16", "5.6GB"], ["3b-q2_K", "1.2GB"], ["3b-q3_K_L", "1.5GB"], ["3b-q3_K_M", "1.4GB"], ["3b-q3_K_S", "1.3GB"], ["3b-q4_0", "1.6GB"], ["3b-q4_1", "1.8GB"], ["3b-q4_K_M", "1.7GB"], ["3b-q4_K_S", "1.6GB"], ["3b-q5_0", "1.9GB"], ["3b-q5_1", "2.1GB"], ["3b-q5_K_M", "2.0GB"], ["3b-q5_K_S", "1.9GB"], ["3b-q6_K", "2.3GB"], ["3b-q8_0", "3.0GB"]], "image": false, "author": "Stability AI"}, "codebooga": {"url": "https://ollama.com/library/codebooga", "description": "A high-performing code instruct model created by merging two existing code models.", "tags": [["latest", "19GB"], ["34b", "19GB"], ["34b-v0.1-fp16", "67GB"], ["34b-v0.1-q2_K", "14GB"], ["34b-v0.1-q3_K_L", "18GB"], ["34b-v0.1-q3_K_M", "16GB"], ["34b-v0.1-q3_K_S", "15GB"], ["34b-v0.1-q4_0", "19GB"], ["34b-v0.1-q4_1", "21GB"], ["34b-v0.1-q4_K_M", "20GB"], ["34b-v0.1-q5_0", "23GB"], ["34b-v0.1-q5_1", "25GB"], ["34b-v0.1-q5_K_M", "24GB"], ["34b-v0.1-q5_K_S", "23GB"], ["34b-v0.1-q6_K", "28GB"], ["34b-v0.1-q8_0", "36GB"]], "image": false, "author": "Oobabooga"}, "deepseek-v2": {"url": "https://ollama.com/library/deepseek-v2", "description": "A strong, economical, and efficient Mixture-of-Experts language model.", "tags": [["latest", "8.9GB"], ["236b", "133GB"], ["16b", "8.9GB"], ["lite", "8.9GB"], ["236b-chat-f16", "472GB"], ["236b-chat-fp16", "472GB"], ["236b-chat-q2_K", "86GB"], ["236b-chat-q3_K_L", "122GB"], ["236b-chat-q3_K_M", "113GB"], ["236b-chat-q3_K_S", "102GB"], ["236b-chat-q4_0", "133GB"], ["236b-chat-q4_1", "148GB"], ["236b-chat-q4_K_M", "142GB"], ["236b-chat-q4_K_S", "134GB"], ["236b-chat-q5_0", "162GB"], ["236b-chat-q5_1", "177GB"], ["236b-chat-q5_K_M", "167GB"], ["236b-chat-q5_K_S", "162GB"], ["236b-chat-q6_K", "194GB"], ["236b-chat-q8_0", "251GB"], ["16b-lite-chat-f16", "31GB"], ["16b-lite-chat-fp16", "31GB"], ["16b-lite-chat-q2_K", "6.4GB"], ["16b-lite-chat-q3_K_L", "8.5GB"], ["16b-lite-chat-q3_K_M", "8.1GB"], ["16b-lite-chat-q3_K_S", "7.5GB"], ["16b-lite-chat-q4_0", "8.9GB"], ["16b-lite-chat-q4_1", "9.9GB"], ["16b-lite-chat-q4_K_M", "10GB"], ["16b-lite-chat-q4_K_S", "9.5GB"], ["16b-lite-chat-q5_0", "11GB"], ["16b-lite-chat-q5_1", "12GB"], ["16b-lite-chat-q5_K_M", "12GB"], ["16b-lite-chat-q5_K_S", "11GB"], ["16b-lite-chat-q6_K", "14GB"], ["16b-lite-chat-q8_0", "17GB"]], "image": false, "author": "DeepSeek Team"}, "mistrallite": {"url": "https://ollama.com/library/mistrallite", "description": "MistralLite is a fine-tuned model based on Mistral with enhanced capabilities of processing long contexts.", "tags": [["latest", "4.1GB"], ["7b", "4.1GB"], ["7b-v0.1-fp16", "14GB"], ["7b-v0.1-q2_K", "3.1GB"], ["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": "Amazon Web Services"}, "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"}, "wizard-vicuna": {"url": "https://ollama.com/library/wizard-vicuna", "description": "Wizard Vicuna is a 13B parameter model based on Llama 2 trained by MelodysDreamj.", "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": "MelodysDreamj"}, "duckdb-nsql": {"url": "https://ollama.com/library/duckdb-nsql", "description": "7B parameter text-to-SQL model made by MotherDuck and Numbers Station.", "tags": [["latest", "3.8GB"], ["7b", "3.8GB"], ["7b-fp16", "13GB"], ["7b-q2_K", "2.5GB"], ["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": "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.", "tags": [["latest", "68GB"], ["120b", "68GB"], ["v2.2", "68GB"], ["120b-v2.2", "68GB"], ["120b-v2.2-fp16", "241GB"], ["120b-v2.2-q2_K", "51GB"], ["120b-v2.2-q3_K_L", "63GB"], ["120b-v2.2-q3_K_M", "58GB"], ["120b-v2.2-q3_K_S", "52GB"], ["120b-v2.2-q4_0", "68GB"], ["120b-v2.2-q4_1", "75GB"], ["120b-v2.2-q4_K_M", "72GB"], ["120b-v2.2-q4_K_S", "68GB"], ["120b-v2.2-q5_0", "83GB"], ["120b-v2.2-q5_1", "90GB"], ["120b-v2.2-q5_K_M", "85GB"], ["120b-v2.2-q5_K_S", "83GB"], ["120b-v2.2-q6_K", "99GB"], ["120b-v2.2-q8_0", "128GB"]], "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.", "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"}, "notux": {"url": "https://ollama.com/library/notux", "description": "A top-performing mixture of experts model, fine-tuned with high-quality data.", "tags": [["latest", "26GB"], ["8x7b", "26GB"], ["8x7b-v1", "26GB"], ["8x7b-v1-fp16", "93GB"], ["8x7b-v1-q2_K", "16GB"], ["8x7b-v1-q3_K_L", "20GB"], ["8x7b-v1-q3_K_M", "20GB"], ["8x7b-v1-q3_K_S", "20GB"], ["8x7b-v1-q4_0", "26GB"], ["8x7b-v1-q4_1", "29GB"], ["8x7b-v1-q4_K_M", "26GB"], ["8x7b-v1-q4_K_S", "26GB"], ["8x7b-v1-q5_0", "32GB"], ["8x7b-v1-q5_1", "35GB"], ["8x7b-v1-q5_K_M", "32GB"], ["8x7b-v1-q5_K_S", "32GB"], ["8x7b-v1-q6_K", "38GB"], ["8x7b-v1-q8_0", "50GB"]], "image": false, "author": "Argilla"}, "notus": {"url": "https://ollama.com/library/notus", "description": "A 7B chat model fine-tuned with high-quality data and based on Zephyr.", "tags": [["latest", "4.1GB"], ["7b", "4.1GB"], ["7b-v1", "4.1GB"], ["7b-v1-fp16", "14GB"], ["7b-v1-q2_K", "3.1GB"], ["7b-v1-q3_K_L", "3.8GB"], ["7b-v1-q3_K_M", "3.5GB"], ["7b-v1-q3_K_S", "3.2GB"], ["7b-v1-q4_0", "4.1GB"], ["7b-v1-q4_1", "4.6GB"], ["7b-v1-q4_K_M", "4.4GB"], ["7b-v1-q4_K_S", "4.1GB"], ["7b-v1-q5_0", "5.0GB"], ["7b-v1-q5_1", "5.4GB"], ["7b-v1-q5_K_M", "5.1GB"], ["7b-v1-q5_K_S", "5.0GB"], ["7b-v1-q6_K", "5.9GB"], ["7b-v1-q8_0", "7.7GB"]], "image": false, "author": "Argilla"}, "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"}, "alfred": {"url": "https://ollama.com/library/alfred", "description": "A robust conversational model designed to be used for both chat and instruct use cases.", "tags": [["latest", "24GB"], ["40b", "24GB"], ["40b-1023-q4_0", "24GB"], ["40b-1023-q4_1", "26GB"], ["40b-1023-q5_0", "29GB"], ["40b-1023-q5_1", "32GB"], ["40b-1023-q8_0", "44GB"]], "image": false, "author": "LightOn AI"}}
\ No newline at end of file
diff --git a/src/window.py b/src/window.py
index 450b66d..39466d9 100644
--- a/src/window.py
+++ b/src/window.py
@@ -898,8 +898,8 @@ class AlpacaWindow(Adw.ApplicationWindow):
         self.available_model_list_box.remove_all()
         for name, model_info in self.available_models.items():
             model = Adw.ActionRow(
-                title = name,
-                subtitle = (_("(Image recognition capable)\n") if model_info["image"] else "") + model_info['description']
+                title = f"<b>{name.capitalize()}</b> <small>by {model_info['author']}</small>",
+                subtitle = f"<small>" + (_("(Image recognition capable)\n") if model_info["image"] else "") + f"{model_info['description']}</small>"
             )
             link_button = Gtk.Button(
                 icon_name = "globe-symbolic",
diff --git a/src/window.ui b/src/window.ui
index 65a9869..1039780 100644
--- a/src/window.ui
+++ b/src/window.ui
@@ -116,7 +116,7 @@
                     <child type="end">
                       <object class="GtkMenuButton">
                         <property name="primary">False</property>
-                        <property name="icon-name">open-menu-symbolic</property>
+                        <property name="icon-name">view-more-symbolic</property>
                         <property name="tooltip-text" translatable="yes">Chat menu</property>
                         <property name="menu-model">secondary_menu</property>
                       </object>
@@ -597,8 +597,9 @@
                 <object class= "AdwCarousel" id="manage_models_carousel">
                   <property name="halign">0</property>
                   <property name="valign">0</property>
-                  <property name="allow-long-swipes">true</property>
-                  <property name="allow-scroll-wheel">true</property>
+                  <property name="allow-long-swipes">false</property>
+                  <property name="allow-scroll-wheel">false</property>
+                  <property name="allow-mouse-drag">false</property>
                   <property name="spacing">12</property>
                   <child>
                     <object class="GtkScrolledWindow">