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Alpaca/src/available_models.json
jeffser c6110e8cde Updated Ollama to 0.1.48 and added Gemma 2
2024-06-30 14:10:02 -06:00

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{
"gemma2": {
"url": "https://ollama.com/library/gemma2",
"description": "Google Gemma 2 is now available in 2 sizes, 9B and 27B.",
"tags": [
[
"latest",
"5.4GB"
],
[
"27b",
"16GB"
],
[
"9b",
"5.4GB"
],
[
"27b-instruct-fp16",
"54GB"
],
[
"27b-instruct-q2_K",
"10GB"
],
[
"27b-instruct-q3_K_L",
"15GB"
],
[
"27b-instruct-q3_K_M",
"13GB"
],
[
"27b-instruct-q3_K_S",
"12GB"
],
[
"27b-instruct-q4_0",
"16GB"
],
[
"27b-instruct-q4_1",
"17GB"
],
[
"27b-instruct-q4_K_M",
"17GB"
],
[
"27b-instruct-q4_K_S",
"16GB"
],
[
"27b-instruct-q5_0",
"19GB"
],
[
"27b-instruct-q5_1",
"21GB"
],
[
"27b-instruct-q5_K_M",
"19GB"
],
[
"27b-instruct-q5_K_S",
"19GB"
],
[
"27b-instruct-q6_K",
"22GB"
],
[
"27b-instruct-q8_0",
"29GB"
],
[
"9b-instruct-fp16",
"18GB"
],
[
"9b-instruct-q2_K",
"3.8GB"
],
[
"9b-instruct-q3_K_L",
"5.1GB"
],
[
"9b-instruct-q3_K_M",
"4.8GB"
],
[
"9b-instruct-q3_K_S",
"4.3GB"
],
[
"9b-instruct-q4_0",
"5.4GB"
],
[
"9b-instruct-q4_1",
"6.0GB"
],
[
"9b-instruct-q4_K_M",
"5.8GB"
],
[
"9b-instruct-q4_K_S",
"5.5GB"
],
[
"9b-instruct-q5_0",
"6.5GB"
],
[
"9b-instruct-q5_1",
"7.0GB"
],
[
"9b-instruct-q5_K_M",
"6.6GB"
],
[
"9b-instruct-q5_K_S",
"6.5GB"
],
[
"9b-instruct-q6_K",
"7.6GB"
],
[
"9b-instruct-q8_0",
"9.8GB"
]
],
"image": false,
"author": "Google DeepMind"
},
"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,
"author": "Meta"
},
"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,
"author": "Alibaba"
},
"deepseek-coder-v2": {
"url": "https://ollama.com/library/deepseek-coder-v2",
"description": "An open-source Mixture-of-Experts code language model that achieves performance comparable to GPT4-Turbo in code-specific tasks.",
"tags": [
[
"latest",
"8.9GB"
],
[
"236b",
"133GB"
],
[
"16b",
"8.9GB"
],
[
"lite",
"8.9GB"
],
[
"236b-instruct-q4_k_m",
"142GB"
],
[
"236b-instruct-fp16",
"472GB"
],
[
"236b-instruct-q2_K",
"86GB"
],
[
"236b-instruct-q3_K_L",
"122GB"
],
[
"236b-instruct-q3_K_M",
"113GB"
],
[
"236b-instruct-q3_K_S",
"102GB"
],
[
"236b-instruct-q4_0",
"133GB"
],
[
"236b-instruct-q4_1",
"148GB"
],
[
"236b-instruct-q4_K_M",
"142GB"
],
[
"236b-instruct-q4_K_S",
"134GB"
],
[
"236b-instruct-q5_0",
"162GB"
],
[
"236b-instruct-q5_1",
"177GB"
],
[
"236b-instruct-q5_K_M",
"167GB"
],
[
"236b-instruct-q5_K_S",
"162GB"
],
[
"236b-instruct-q6_K",
"194GB"
],
[
"236b-instruct-q8_0",
"251GB"
],
[
"16b-lite-base-fp16",
"31GB"
],
[
"16b-lite-base-q2_K",
"6.4GB"
],
[
"16b-lite-base-q3_K_L",
"8.5GB"
],
[
"16b-lite-base-q3_K_M",
"8.1GB"
],
[
"16b-lite-base-q3_K_S",
"7.5GB"
],
[
"16b-lite-base-q4_0",
"8.9GB"
],
[
"16b-lite-base-q4_1",
"9.9GB"
],
[
"16b-lite-base-q4_K_M",
"10GB"
],
[
"16b-lite-base-q4_K_S",
"9.5GB"
],
[
"16b-lite-base-q5_0",
"11GB"
],
[
"16b-lite-base-q5_1",
"12GB"
],
[
"16b-lite-base-q5_K_M",
"12GB"
],
[
"16b-lite-base-q5_K_S",
"11GB"
],
[
"16b-lite-base-q6_K",
"14GB"
],
[
"16b-lite-base-q8_0",
"17GB"
],
[
"16b-lite-instruct-fp16",
"31GB"
],
[
"16b-lite-instruct-q2_K",
"6.4GB"
],
[
"16b-lite-instruct-q3_K_L",
"8.5GB"
],
[
"16b-lite-instruct-q3_K_M",
"8.1GB"
],
[
"16b-lite-instruct-q3_K_S",
"7.5GB"
],
[
"16b-lite-instruct-q4_0",
"8.9GB"
],
[
"16b-lite-instruct-q4_1",
"9.9GB"
],
[
"16b-lite-instruct-q4_K_M",
"10GB"
],
[
"16b-lite-instruct-q4_K_S",
"9.5GB"
],
[
"16b-lite-instruct-q5_0",
"11GB"
],
[
"16b-lite-instruct-q5_1",
"12GB"
],
[
"16b-lite-instruct-q5_K_M",
"12GB"
],
[
"16b-lite-instruct-q5_K_S",
"11GB"
],
[
"16b-lite-instruct-q6_K",
"14GB"
],
[
"16b-lite-instruct-q8_0",
"17GB"
]
],
"image": false,
"author": "DeepSeek Team"
},
"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-128k-instruct-f16",
"28GB"
],
[
"14b-medium-4k-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",
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[
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"10GB"
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[
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"14b-medium-4k-instruct-q6_K",
"11GB"
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[
"14b-medium-4k-instruct-q8_0",
"15GB"
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"2.4GB"
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"7.6GB"
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"7.6GB"
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"1.4GB"
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"2.1GB"
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"2.0GB"
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"2.4GB"
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"2.9GB"
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"3.1GB"
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"3.8b-mini-4k-instruct-q8_0",
"4.1GB"
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"7.9GB"
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"50GB"
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[
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[
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[
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"image": false,
"author": "Google DeepMind"
},
"qwen": {
"url": "https://ollama.com/library/qwen",
"description": "Qwen 1.5 is a series of large language models by Alibaba Cloud spanning from 0.5B to 110B parameters",
"tags": [
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"11GB"
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[
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[
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[
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[
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[
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"5.7GB"
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[
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[
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"6.3GB"
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[
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[
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[
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[
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[
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[
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[
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"2.8GB"
],
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"4b-chat-v1.5-q5_K_S",
"2.8GB"
],
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"4b-chat-v1.5-q6_K",
"3.2GB"
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[
"4b-chat-v1.5-q8_0",
"4.2GB"
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"4b-text",
"2.3GB"
],
[
"4b-text-v1.5-fp16",
"7.9GB"
],
[
"4b-text-v1.5-q2_K",
"1.6GB"
],
[
"4b-text-v1.5-q3_K_L",
"2.2GB"
],
[
"4b-text-v1.5-q3_K_M",
"2.0GB"
],
[
"4b-text-v1.5-q3_K_S",
"1.9GB"
],
[
"4b-text-v1.5-q4_0",
"2.3GB"
],
[
"4b-text-v1.5-q4_1",
"2.6GB"
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"4b-text-v1.5-q4_K_M",
"2.5GB"
],
[
"4b-text-v1.5-q4_K_S",
"2.3GB"
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[
"4b-text-v1.5-q5_0",
"2.8GB"
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[
"4b-text-v1.5-q5_1",
"3.0GB"
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[
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"2.8GB"
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[
"4b-text-v1.5-q5_K_S",
"2.8GB"
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[
"4b-text-v1.5-q6_K",
"3.2GB"
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"4.2GB"
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"1.1GB"
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"1.0GB"
],
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"1.8b-chat-v1.5-q3_K_S",
"970MB"
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"1.8b-chat-v1.5-q4_0",
"1.1GB"
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"1.2GB"
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"1.8b-chat-v1.5-q4_K_M",
"1.2GB"
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"1.8b-chat-v1.5-q4_K_S",
"1.2GB"
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[
"1.8b-chat-q3_K_S",
"970MB"
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"1.8b-chat-v1.5-q5_0",
"1.3GB"
],
[
"1.8b-chat-v1.5-q6_K",
"1.6GB"
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"1.8b-chat-v1.5-q5_1",
"1.4GB"
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"1.8b-chat-v1.5-q8_0",
"2.0GB"
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"1.8b-chat-v1.5-q5_K_S",
"1.3GB"
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"1.8b-chat-q3_K_L",
"1.1GB"
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"3.7GB"
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"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"
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"1.8b-chat-q4_K_M",
"1.2GB"
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[
"1.8b-chat-q4_K_S",
"1.2GB"
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"1.8b-chat-q5_0",
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"1.8b-chat-q5_1",
"1.4GB"
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"1.8b-chat-q5_K_M",
"1.4GB"
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"1.8b-chat-q5_K_S",
"1.3GB"
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"1.6GB"
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"853MB"
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"1.1GB"
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"1.0GB"
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"970MB"
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"1.8b-text-q4_0",
"1.1GB"
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"1.2GB"
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"1.8b-text-q4_K_M",
"1.2GB"
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"1.8b-text-q4_K_S",
"1.2GB"
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"1.8b-text-q5_0",
"1.3GB"
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"1.8b-text-q5_1",
"1.4GB"
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"1.4GB"
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"1.8b-text-q5_K_S",
"1.3GB"
],
[
"1.8b-text-q6_K",
"1.6GB"
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[
"1.8b-text-v1.5-q5_K_S",
"1.3GB"
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[
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"1.2GB"
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[
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"1.3GB"
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[
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"1.1GB"
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[
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"863MB"
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"1.2GB"
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"2.0GB"
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"970MB"
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"1.2GB"
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[
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"1.4GB"
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[
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"1.1GB"
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"3.7GB"
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"1.8b-text-v1.5-q3_K_M",
"1.0GB"
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[
"1.8b-text-v1.5-q6_K",
"1.6GB"
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[
"1.8b-text-v1.5-q8_0",
"2.0GB"
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[
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"395MB"
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"1.2GB"
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[
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"298MB"
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[
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"364MB"
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"350MB"
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"333MB"
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"395MB"
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"515MB"
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"665MB"
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"424MB"
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"453MB"
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"482MB"
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"459MB"
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"453MB"
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[
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"515MB"
],
[
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"665MB"
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],
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"author": "Alibaba"
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[
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[
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[
"34b-code-q5_K_S",
"23GB"
],
[
"34b-code-q6_K",
"28GB"
],
[
"34b-code-q8_0",
"36GB"
],
[
"34b-instruct",
"19GB"
],
[
"34b-instruct-fp16",
"67GB"
],
[
"34b-instruct-q2_K",
"14GB"
],
[
"34b-instruct-q3_K_L",
"18GB"
],
[
"34b-instruct-q3_K_M",
"16GB"
],
[
"34b-instruct-q3_K_S",
"15GB"
],
[
"34b-instruct-q4_0",
"19GB"
],
[
"34b-instruct-q4_1",
"21GB"
],
[
"34b-instruct-q4_K_M",
"20GB"
],
[
"34b-instruct-q4_K_S",
"19GB"
],
[
"34b-instruct-q5_0",
"23GB"
],
[
"34b-instruct-q5_1",
"25GB"
],
[
"34b-instruct-q5_K_M",
"24GB"
],
[
"34b-instruct-q5_K_S",
"23GB"
],
[
"34b-instruct-q6_K",
"28GB"
],
[
"34b-instruct-q8_0",
"36GB"
],
[
"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"
],
[
"13b-code",
"7.4GB"
],
[
"13b-code-fp16",
"26GB"
],
[
"13b-code-q2_K",
"5.4GB"
],
[
"13b-code-q3_K_L",
"6.9GB"
],
[
"13b-code-q3_K_M",
"6.3GB"
],
[
"13b-code-q3_K_S",
"5.7GB"
],
[
"13b-code-q4_0",
"7.4GB"
],
[
"13b-code-q4_1",
"8.2GB"
],
[
"13b-code-q4_K_M",
"7.9GB"
],
[
"13b-code-q4_K_S",
"7.4GB"
],
[
"13b-code-q5_0",
"9.0GB"
],
[
"13b-code-q5_1",
"9.8GB"
],
[
"13b-code-q5_K_M",
"9.2GB"
],
[
"13b-code-q5_K_S",
"9.0GB"
],
[
"13b-code-q6_K",
"11GB"
],
[
"13b-code-q8_0",
"14GB"
],
[
"13b-instruct",
"7.4GB"
],
[
"13b-instruct-fp16",
"26GB"
],
[
"13b-instruct-q2_K",
"5.4GB"
],
[
"13b-instruct-q3_K_L",
"6.9GB"
],
[
"13b-instruct-q3_K_M",
"6.3GB"
],
[
"13b-instruct-q3_K_S",
"5.7GB"
],
[
"13b-instruct-q4_0",
"7.4GB"
],
[
"13b-instruct-q4_1",
"8.2GB"
],
[
"13b-instruct-q4_K_M",
"7.9GB"
],
[
"13b-instruct-q4_K_S",
"7.4GB"
],
[
"13b-instruct-q5_0",
"9.0GB"
],
[
"13b-instruct-q5_1",
"9.8GB"
],
[
"13b-instruct-q5_K_M",
"9.2GB"
],
[
"13b-instruct-q5_K_S",
"9.0GB"
],
[
"13b-instruct-q6_K",
"11GB"
],
[
"13b-instruct-q8_0",
"14GB"
],
[
"13b-python",
"7.4GB"
],
[
"13b-python-fp16",
"26GB"
],
[
"13b-python-q2_K",
"5.4GB"
],
[
"13b-python-q3_K_L",
"6.9GB"
],
[
"13b-python-q3_K_M",
"6.3GB"
],
[
"13b-python-q3_K_S",
"5.7GB"
],
[
"13b-python-q4_0",
"7.4GB"
],
[
"13b-python-q4_1",
"8.2GB"
],
[
"13b-python-q4_K_M",
"7.9GB"
],
[
"13b-python-q4_K_S",
"7.4GB"
],
[
"13b-python-q5_0",
"9.0GB"
],
[
"13b-python-q5_1",
"9.8GB"
],
[
"13b-python-q5_K_M",
"9.2GB"
],
[
"13b-python-q5_K_S",
"9.0GB"
],
[
"13b-python-q6_K",
"11GB"
],
[
"13b-python-q8_0",
"14GB"
],
[
"7b-code",
"3.8GB"
],
[
"7b-code-fp16",
"13GB"
],
[
"7b-code-q2_K",
"2.8GB"
],
[
"7b-code-q3_K_L",
"3.6GB"
],
[
"7b-code-q3_K_M",
"3.3GB"
],
[
"7b-code-q3_K_S",
"2.9GB"
],
[
"7b-code-q4_0",
"3.8GB"
],
[
"7b-code-q4_1",
"4.2GB"
],
[
"7b-code-q4_K_M",
"4.1GB"
],
[
"7b-code-q4_K_S",
"3.9GB"
],
[
"7b-code-q5_0",
"4.7GB"
],
[
"7b-code-q5_1",
"5.1GB"
],
[
"7b-code-q5_K_M",
"4.8GB"
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[
"7b-code-q5_K_S",
"4.7GB"
],
[
"7b-code-q6_K",
"5.5GB"
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[
"7b-code-q8_0",
"7.2GB"
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[
"7b-instruct",
"3.8GB"
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[
"7b-instruct-fp16",
"13GB"
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[
"7b-instruct-q2_K",
"2.8GB"
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[
"7b-instruct-q3_K_L",
"3.6GB"
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[
"7b-instruct-q3_K_M",
"3.3GB"
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[
"7b-instruct-q3_K_S",
"2.9GB"
],
[
"7b-instruct-q4_0",
"3.8GB"
],
[
"7b-instruct-q4_1",
"4.2GB"
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[
"7b-instruct-q4_K_M",
"4.1GB"
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[
"7b-instruct-q4_K_S",
"3.9GB"
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[
"7b-instruct-q5_0",
"4.7GB"
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[
"7b-instruct-q5_1",
"5.1GB"
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[
"7b-instruct-q5_K_M",
"4.8GB"
],
[
"7b-instruct-q5_K_S",
"4.7GB"
],
[
"7b-instruct-q6_K",
"5.5GB"
],
[
"7b-instruct-q8_0",
"7.2GB"
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[
"7b-python",
"3.8GB"
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[
"7b-python-fp16",
"13GB"
],
[
"7b-python-q2_K",
"2.8GB"
],
[
"7b-python-q3_K_L",
"3.6GB"
],
[
"7b-python-q3_K_M",
"3.3GB"
],
[
"7b-python-q3_K_S",
"2.9GB"
],
[
"7b-python-q4_0",
"3.8GB"
],
[
"7b-python-q4_1",
"4.2GB"
],
[
"7b-python-q4_K_M",
"4.1GB"
],
[
"7b-python-q4_K_S",
"3.9GB"
],
[
"7b-python-q5_0",
"4.7GB"
],
[
"7b-python-q5_1",
"5.1GB"
],
[
"7b-python-q5_K_M",
"4.8GB"
],
[
"7b-python-q5_K_S",
"4.7GB"
],
[
"7b-python-q6_K",
"5.5GB"
],
[
"7b-python-q8_0",
"7.2GB"
]
],
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"author": "Meta"
},
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"url": "https://ollama.com/library/dolphin-mixtral",
"description": "Uncensored, 8x7b and 8x22b fine-tuned models based on the Mixtral mixture of experts models that excels at coding tasks. Created by Eric Hartford.",
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"latest",
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[
"8x7b",
"26GB"
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[
"8x22b",
"80GB"
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"v2.5",
"26GB"
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[
"v2.6",
"26GB"
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[
"v2.6.1",
"26GB"
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[
"v2.7",
"26GB"
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[
"8x7b-v2.5",
"26GB"
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[
"8x7b-v2.5-fp16",
"93GB"
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[
"8x7b-v2.5-q2_K",
"16GB"
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[
"8x7b-v2.5-q3_K_L",
"20GB"
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[
"8x7b-v2.5-q3_K_M",
"20GB"
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[
"8x7b-v2.5-q3_K_S",
"20GB"
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[
"8x7b-v2.5-q4_0",
"26GB"
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[
"8x7b-v2.5-q4_1",
"29GB"
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[
"8x7b-v2.5-q4_K_M",
"26GB"
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[
"8x7b-v2.5-q4_K_S",
"26GB"
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[
"8x7b-v2.5-q5_0",
"32GB"
],
[
"8x7b-v2.5-q5_1",
"35GB"
],
[
"8x7b-v2.5-q5_K_M",
"32GB"
],
[
"8x7b-v2.5-q5_K_S",
"32GB"
],
[
"8x7b-v2.5-q6_K",
"38GB"
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[
"8x7b-v2.5-q8_0",
"50GB"
],
[
"8x7b-v2.6",
"26GB"
],
[
"8x7b-v2.6-fp16",
"93GB"
],
[
"8x7b-v2.6-q2_K",
"16GB"
],
[
"8x7b-v2.6-q3_K_L",
"20GB"
],
[
"8x7b-v2.6-q3_K_M",
"20GB"
],
[
"8x7b-v2.6-q3_K_S",
"20GB"
],
[
"8x7b-v2.6-q4_0",
"26GB"
],
[
"8x7b-v2.6-q4_1",
"29GB"
],
[
"8x7b-v2.6-q4_K_M",
"26GB"
],
[
"8x7b-v2.6-q4_K_S",
"26GB"
],
[
"8x7b-v2.6-q5_0",
"32GB"
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[
"8x7b-v2.6-q5_1",
"35GB"
],
[
"8x7b-v2.6-q5_K_M",
"32GB"
],
[
"8x7b-v2.6-q5_K_S",
"32GB"
],
[
"8x7b-v2.6-q6_K",
"38GB"
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[
"8x7b-v2.6-q8_0",
"50GB"
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[
"8x7b-v2.6.1",
"26GB"
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[
"8x7b-v2.6.1-fp16",
"93GB"
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[
"8x7b-v2.6.1-q2_K",
"16GB"
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[
"8x7b-v2.6.1-q3_K_L",
"20GB"
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[
"8x7b-v2.6.1-q3_K_M",
"20GB"
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[
"8x7b-v2.6.1-q3_K_S",
"20GB"
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[
"8x7b-v2.6.1-q4_0",
"26GB"
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[
"8x7b-v2.6.1-q4_1",
"29GB"
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[
"8x7b-v2.6.1-q4_K_M",
"26GB"
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[
"8x7b-v2.6.1-q4_K_S",
"26GB"
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[
"8x7b-v2.6.1-q5_0",
"32GB"
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[
"8x7b-v2.6.1-q5_1",
"35GB"
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[
"8x7b-v2.6.1-q5_K_M",
"32GB"
],
[
"8x7b-v2.6.1-q5_K_S",
"32GB"
],
[
"8x7b-v2.6.1-q6_K",
"38GB"
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[
"8x7b-v2.6.1-q8_0",
"50GB"
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[
"8x7b-v2.7",
"26GB"
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[
"8x7b-v2.7-fp16",
"93GB"
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[
"8x7b-v2.7-q2_K",
"16GB"
],
[
"8x7b-v2.7-q3_K_L",
"20GB"
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[
"8x7b-v2.7-q3_K_M",
"20GB"
],
[
"8x7b-v2.7-q3_K_S",
"20GB"
],
[
"8x7b-v2.7-q4_0",
"26GB"
],
[
"8x7b-v2.7-q4_1",
"29GB"
],
[
"8x7b-v2.7-q4_K_M",
"26GB"
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[
"8x7b-v2.7-q4_K_S",
"26GB"
],
[
"8x7b-v2.7-q5_0",
"32GB"
],
[
"8x7b-v2.7-q5_1",
"35GB"
],
[
"8x7b-v2.7-q5_K_M",
"32GB"
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[
"8x7b-v2.7-q5_K_S",
"32GB"
],
[
"8x7b-v2.7-q6_K",
"38GB"
],
[
"8x7b-v2.7-q8_0",
"50GB"
],
[
"8x22b-v2.9",
"80GB"
],
[
"8x22b-v2.9-fp16",
"281GB"
],
[
"8x22b-v2.9-q2_K",
"52GB"
],
[
"8x22b-v2.9-q3_K_L",
"73GB"
],
[
"8x22b-v2.9-q3_K_M",
"68GB"
],
[
"8x22b-v2.9-q3_K_S",
"61GB"
],
[
"8x22b-v2.9-q4_0",
"80GB"
],
[
"8x22b-v2.9-q4_1",
"88GB"
],
[
"8x22b-v2.9-q4_K_M",
"86GB"
],
[
"8x22b-v2.9-q4_K_S",
"80GB"
],
[
"8x22b-v2.9-q5_0",
"97GB"
],
[
"8x22b-v2.9-q5_1",
"106GB"
],
[
"8x22b-v2.9-q5_K_M",
"100GB"
],
[
"8x22b-v2.9-q5_K_S",
"97GB"
],
[
"8x22b-v2.9-q6_K",
"116GB"
],
[
"8x22b-v2.9-q8_0",
"149GB"
]
],
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"author": "Eric Hartford"
},
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"url": "https://ollama.com/library/llama2-uncensored",
"description": "Uncensored Llama 2 model by George Sung and Jarrad Hope.",
"tags": [
[
"latest",
"3.8GB"
],
[
"70b",
"39GB"
],
[
"7b",
"3.8GB"
],
[
"70b-chat",
"39GB"
],
[
"70b-chat-q2_K",
"29GB"
],
[
"70b-chat-q3_K_L",
"36GB"
],
[
"70b-chat-q3_K_M",
"33GB"
],
[
"70b-chat-q3_K_S",
"30GB"
],
[
"70b-chat-q4_0",
"39GB"
],
[
"70b-chat-q4_1",
"43GB"
],
[
"70b-chat-q4_K_M",
"41GB"
],
[
"70b-chat-q4_K_S",
"39GB"
],
[
"70b-chat-q5_0",
"47GB"
],
[
"70b-chat-q5_1",
"52GB"
],
[
"70b-chat-q5_K_M",
"49GB"
],
[
"70b-chat-q5_K_S",
"47GB"
],
[
"70b-chat-q6_K",
"57GB"
],
[
"70b-chat-q8_0",
"73GB"
],
[
"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"
]
],
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"author": "George Sung, Jarrad Hope"
},
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"url": "https://ollama.com/library/deepseek-coder",
"description": "DeepSeek Coder is a capable coding model trained on two trillion code and natural language tokens.",
"tags": [
[
"latest",
"776MB"
],
[
"33b",
"19GB"
],
[
"6.7b",
"3.8GB"
],
[
"1.3b",
"776MB"
],
[
"base",
"776MB"
],
[
"instruct",
"776MB"
],
[
"33b-base",
"19GB"
],
[
"33b-base-fp16",
"67GB"
],
[
"33b-base-q2_K",
"14GB"
],
[
"33b-base-q3_K_L",
"18GB"
],
[
"33b-base-q3_K_M",
"16GB"
],
[
"33b-base-q3_K_S",
"14GB"
],
[
"33b-base-q4_0",
"19GB"
],
[
"33b-base-q4_1",
"21GB"
],
[
"33b-base-q4_K_M",
"20GB"
],
[
"33b-base-q4_K_S",
"19GB"
],
[
"33b-base-q5_0",
"23GB"
],
[
"33b-base-q5_1",
"25GB"
],
[
"33b-base-q5_K_M",
"24GB"
],
[
"33b-base-q5_K_S",
"23GB"
],
[
"33b-base-q6_K",
"27GB"
],
[
"33b-base-q8_0",
"35GB"
],
[
"33b-instruct",
"19GB"
],
[
"33b-instruct-fp16",
"67GB"
],
[
"33b-instruct-q2_K",
"14GB"
],
[
"33b-instruct-q3_K_L",
"18GB"
],
[
"33b-instruct-q3_K_M",
"16GB"
],
[
"33b-instruct-q3_K_S",
"14GB"
],
[
"33b-instruct-q4_0",
"19GB"
],
[
"33b-instruct-q4_1",
"21GB"
],
[
"33b-instruct-q4_K_M",
"20GB"
],
[
"33b-instruct-q4_K_S",
"19GB"
],
[
"33b-instruct-q5_0",
"23GB"
],
[
"33b-instruct-q5_1",
"25GB"
],
[
"33b-instruct-q5_K_M",
"24GB"
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"9.8GB"
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"9.2GB"
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"9.0GB"
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"11GB"
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"14GB"
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"26GB"
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"6.9GB"
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"7.9GB"
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"7.4GB"
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"9.0GB"
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"9.0GB"
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"11GB"
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"3.8GB"
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"4.2GB"
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"4.1GB"
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"3.9GB"
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"5.1GB"
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"4.8GB"
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"4.7GB"
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"19GB"
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"69GB"
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"34b-chat-v1.5-q2_K",
"13GB"
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"34b-chat-v1.5-q3_K_L",
"18GB"
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[
"34b-chat-v1.5-q3_K_M",
"17GB"
],
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"34b-chat-v1.5-q3_K_S",
"15GB"
],
[
"34b-chat-v1.5-q4_0",
"19GB"
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[
"34b-chat-v1.5-q4_1",
"22GB"
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[
"34b-chat-v1.5-q4_K_M",
"21GB"
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[
"34b-chat-v1.5-q4_K_S",
"20GB"
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"34b-chat-v1.5-q5_0",
"24GB"
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[
"34b-chat-v1.5-q5_1",
"26GB"
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[
"34b-chat-v1.5-q5_K_M",
"24GB"
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"34b-chat-v1.5-q5_K_S",
"24GB"
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"34b-chat-q4_K_S",
"20GB"
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"22GB"
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"69GB"
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"34b-chat-q3_K_M",
"17GB"
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"34b-chat-q3_K_L",
"18GB"
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"19GB"
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"15GB"
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"21GB"
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"28GB"
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"34b-chat-v1.5-q8_0",
"37GB"
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"34b-chat-q2_K",
"15GB"
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"34b-chat-q5_0",
"24GB"
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"34b-chat-q5_1",
"26GB"
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"34b-chat-q5_K_M",
"24GB"
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"34b-chat-q5_K_S",
"24GB"
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"34b-chat-q6_K",
"28GB"
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"34b-chat-q8_0",
"37GB"
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"19GB"
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[
"34b-v1.5-fp16",
"69GB"
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[
"34b-v1.5-q2_K",
"13GB"
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"34b-v1.5-q3_K_L",
"18GB"
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"34b-v1.5-q3_K_M",
"17GB"
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"34b-v1.5-q3_K_S",
"15GB"
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"34b-v1.5-q4_0",
"19GB"
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"34b-v1.5-q4_1",
"22GB"
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"34b-v1.5-q4_K_M",
"21GB"
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"20GB"
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"24GB"
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"34b-v1.5-q5_1",
"26GB"
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"34b-v1.5-q5_K_M",
"24GB"
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"34b-v1.5-q5_K_S",
"24GB"
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"28GB"
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"37GB"
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"5.0GB"
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"5.0GB"
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"3.5GB"
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"34b-q2_K",
"15GB"
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[
"34b-q3_K_L",
"18GB"
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"34b-q3_K_M",
"17GB"
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"34b-q3_K_S",
"15GB"
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"34b-q4_0",
"19GB"
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"34b-q4_1",
"22GB"
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"34b-q4_K_M",
"21GB"
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"34b-q4_K_S",
"20GB"
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"34b-q5_0",
"24GB"
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"34b-q5_1",
"26GB"
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"24GB"
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"28GB"
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"18GB"
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"3.4GB"
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"4.7GB"
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"4.3GB"
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"3.9GB"
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"5.0GB"
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"5.6GB"
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"5.3GB"
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"5.1GB"
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"6.1GB"
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"6.6GB"
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"6.3GB"
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"6.1GB"
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"7.2GB"
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"9.4GB"
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"18GB"
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"3.4GB"
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"4.7GB"
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"4.3GB"
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"3.9GB"
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"5.0GB"
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"5.6GB"
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"5.3GB"
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"5.1GB"
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"6.1GB"
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"9b-v1.5-q5_1",
"6.6GB"
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"6.3GB"
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"6.1GB"
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"7.2GB"
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"9.4GB"
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"12GB"
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"2.6GB"
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"3.2GB"
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"3.0GB"
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"3.5GB"
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"3.8GB"
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"4.3GB"
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"5.0GB"
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"6.4GB"
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"12GB"
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"2.6GB"
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"3.2GB"
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"3.0GB"
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"2.7GB"
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"3.5GB"
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"3.8GB"
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"3.7GB"
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"12GB"
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[
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[
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[
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"13GB"
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"3.3GB"
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"7b-64k-q3_K_S",
"2.9GB"
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[
"7b-64k-q4_0",
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[
"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"
},
"llava-phi3": {
"url": "https://ollama.com/library/llava-phi3",
"description": "A new small LLaVA model fine-tuned from Phi 3 Mini.",
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[
"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.",
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"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"
],
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"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"
},
"wizard-vicuna": {
"url": "https://ollama.com/library/wizard-vicuna",
"description": "Wizard Vicuna is a 13B parameter model based on Llama 2 trained by MelodysDreamj.",
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"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"
],
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"13b-q6_K",
"11GB"
],
[
"13b-q8_0",
"14GB"
]
],
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"author": "MelodysDreamj"
},
"duckdb-nsql": {
"url": "https://ollama.com/library/duckdb-nsql",
"description": "7B parameter text-to-SQL model made by MotherDuck and Numbers Station.",
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"latest",
"3.8GB"
],
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"7b",
"3.8GB"
],
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"7b-fp16",
"13GB"
],
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"7b-q2_K",
"2.5GB"
],
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"7b-q3_K_L",
"3.6GB"
],
[
"7b-q3_K_M",
"3.3GB"
],
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"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.",
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"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"
]
],
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"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.",
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"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.",
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[
"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"
},
"dbrx": {
"url": "https://ollama.com/library/dbrx",
"description": "DBRX is an open, general-purpose LLM created by Databricks.",
"tags": [
[
"latest",
"74GB"
],
[
"132b",
"74GB"
],
[
"instruct",
"74GB"
],
[
"132b-instruct-fp16",
"263GB"
],
[
"132b-instruct-q2_K",
"48GB"
],
[
"132b-instruct-q4_0",
"74GB"
],
[
"132b-instruct-q8_0",
"140GB"
]
],
"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.",
"tags": [
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"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"
}
}
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