{ "llama3.1": { "url": "https://ollama.com/library/llama3.1", "description": "Llama 3.1 is a new state-of-the-art model from Meta available in 8B, 70B and 405B parameter sizes.", "tags": [ [ "latest", "4.7 GB" ], [ "405b", "231 GB" ], [ "70b", "40 GB" ], [ "8b", "4.7 GB" ], [ "70b-instruct-q2_k", "26 GB" ], [ "70b-instruct-fp16", "141 GB" ], [ "70b-instruct-q2_K", "26 GB" ], [ "70b-instruct-q3_K_L", "37 GB" ], [ "70b-instruct-q3_K_M", "34 GB" ], [ "70b-instruct-q3_K_S", "31 GB" ], [ "70b-instruct-q4_0", "40 GB" ], [ "70b-instruct-q4_1", "44 GB" ], [ "70b-instruct-q4_K_M", "43 GB" ], [ "70b-instruct-q4_K_S", "40 GB" ], [ "70b-instruct-q5_0", "49 GB" ], [ "70b-instruct-q5_1", "53 GB" ], [ "70b-instruct-q5_K_M", "50 GB" ], [ "70b-instruct-q5_K_S", "49 GB" ], [ "70b-instruct-q6_K", "58 GB" ], [ "70b-instruct-q8_0", "75 GB" ], [ "8b-instruct-fp16", "16 GB" ], [ "8b-instruct-q2_K", "3.2 GB" ], [ "8b-instruct-q3_K_L", "4.3 GB" ], [ "8b-instruct-q3_K_M", "4.0 GB" ], [ "8b-instruct-q3_K_S", "3.7 GB" ], [ "8b-instruct-q4_0", "4.7 GB" ], [ "8b-instruct-q4_1", "5.1 GB" ], [ "8b-instruct-q4_K_M", "4.9 GB" ], [ "8b-instruct-q4_K_S", "4.7 GB" ], [ "8b-instruct-q5_0", "5.6 GB" ], [ "8b-instruct-q5_1", "6.1 GB" ], [ "8b-instruct-q5_K_M", "5.7 GB" ], [ "8b-instruct-q5_K_S", "5.6 GB" ], [ "8b-instruct-q6_K", "6.6 GB" ], [ "8b-instruct-q8_0", "8.5 GB" ] ], "image": false, "author": "Meta" }, "gemma2": { "url": "https://ollama.com/library/gemma2", "description": "Google Gemma 2 is now available in 2 sizes, 9B and 27B.", "tags": [ [ "latest", "5.4 GB" ], [ "27b", "16 GB" ], [ "9b", "5.4 GB" ], [ "27b-instruct-fp16", "54 GB" ], [ "27b-instruct-q2_K", "10 GB" ], [ "27b-instruct-q3_K_L", "15 GB" ], [ "27b-instruct-q3_K_M", "13 GB" ], [ "27b-instruct-q3_K_S", "12 GB" ], [ "27b-instruct-q4_0", "16 GB" ], [ "27b-instruct-q4_1", "17 GB" ], [ "27b-instruct-q4_K_M", "17 GB" ], [ "27b-instruct-q4_K_S", "16 GB" ], [ "27b-instruct-q5_0", "19 GB" ], [ "27b-instruct-q5_1", "21 GB" ], [ "27b-instruct-q5_K_M", "19 GB" ], [ "27b-instruct-q5_K_S", "19 GB" ], [ "27b-instruct-q6_K", "22 GB" ], [ "27b-instruct-q8_0", "29 GB" ], [ "27b-text-fp16", "54 GB" ], [ "27b-text-q2_K", "10 GB" ], [ "27b-text-q3_K_L", "15 GB" ], [ "27b-text-q3_K_M", "13 GB" ], [ "27b-text-q3_K_S", "12 GB" ], [ "27b-text-q4_0", "16 GB" ], [ "27b-text-q4_1", "17 GB" ], [ "27b-text-q4_K_M", "17 GB" ], [ "27b-text-q4_K_S", "16 GB" ], [ "27b-text-q5_0", "19 GB" ], [ "27b-text-q5_1", "21 GB" ], [ "27b-text-q5_K_M", "19 GB" ], [ "27b-text-q5_K_S", "19 GB" ], [ "27b-text-q6_K", "22 GB" ], [ "27b-text-q8_0", "29 GB" ], [ "9b-instruct-fp16", "18 GB" ], [ "9b-instruct-q2_K", "3.8 GB" ], [ "9b-instruct-q3_K_L", "5.1 GB" ], [ "9b-instruct-q3_K_M", "4.8 GB" ], [ "9b-instruct-q3_K_S", "4.3 GB" ], [ "9b-instruct-q4_0", "5.4 GB" ], [ "9b-instruct-q4_1", "6.0 GB" ], [ "9b-instruct-q4_K_M", "5.8 GB" ], [ "9b-instruct-q4_K_S", "5.5 GB" ], [ "9b-instruct-q5_0", "6.5 GB" ], [ "9b-instruct-q5_1", "7.0 GB" ], [ "9b-instruct-q5_K_M", "6.6 GB" ], [ "9b-instruct-q5_K_S", "6.5 GB" ], [ "9b-instruct-q6_K", "7.6 GB" ], [ "9b-instruct-q8_0", "9.8 GB" ], [ "9b-text-fp16", "18 GB" ], [ "9b-text-q2_K", "3.8 GB" ], [ "9b-text-q3_K_L", "5.1 GB" ], [ "9b-text-q3_K_M", "4.8 GB" ], [ "9b-text-q3_K_S", "4.3 GB" ], [ "9b-text-q4_0", "5.4 GB" ], [ "9b-text-q4_1", "6.0 GB" ], [ "9b-text-q4_K_M", "5.8 GB" ], [ "9b-text-q4_K_S", "5.5 GB" ], [ "9b-text-q5_0", "6.5 GB" ], [ "9b-text-q5_1", "7.0 GB" ], [ "9b-text-q5_K_M", "6.6 GB" ], [ "9b-text-q5_K_S", "6.5 GB" ], [ "9b-text-q6_K", "7.6 GB" ], [ "9b-text-q8_0", "9.8 GB" ] ], "image": false, "author": "Google DeepMind" }, "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", "7.1 GB" ], [ "12b", "7.1 GB" ], [ "12b-instruct-2407-fp16", "25 GB" ], [ "12b-instruct-2407-q2_K", "4.8 GB" ], [ "12b-instruct-2407-q3_K_L", "6.6 GB" ], [ "12b-instruct-2407-q3_K_M", "6.1 GB" ], [ "12b-instruct-2407-q3_K_S", "5.5 GB" ], [ "12b-instruct-2407-q4_0", "7.1 GB" ], [ "12b-instruct-2407-q4_1", "7.8 GB" ], [ "12b-instruct-2407-q4_K_M", "7.5 GB" ], [ "12b-instruct-2407-q4_K_S", "7.1 GB" ], [ "12b-instruct-2407-q5_0", "8.5 GB" ], [ "12b-instruct-2407-q5_1", "9.2 GB" ], [ "12b-instruct-2407-q5_K_M", "8.7 GB" ], [ "12b-instruct-2407-q5_K_S", "8.5 GB" ], [ "12b-instruct-2407-q6_K", "10 GB" ], [ "12b-instruct-2407-q8_0", "13 GB" ] ], "image": false, "author": "Mistral AI" }, "mistral-large": { "url": "https://ollama.com/library/mistral-large", "description": "Mistral Large 2 is Mistral's new flagship model that is significantly more capable in code generation, mathematics, and reasoning with 128k context window and support for dozens of languages.", "tags": [ [ "latest", "69 GB" ], [ "123b", "69 GB" ], [ "123b-instruct-2407-fp16", "245 GB" ], [ "123b-instruct-2407-q2_K", "45 GB" ], [ "123b-instruct-2407-q3_K_L", "65 GB" ], [ "123b-instruct-2407-q3_K_M", "59 GB" ], [ "123b-instruct-2407-q3_K_S", "53 GB" ], [ "123b-instruct-2407-q4_0", "69 GB" ], [ "123b-instruct-2407-q4_1", "77 GB" ], [ "123b-instruct-2407-q4_K_M", "73 GB" ], [ "123b-instruct-2407-q4_K_S", "70 GB" ], [ "123b-instruct-2407-q5_0", "84 GB" ], [ "123b-instruct-2407-q5_1", "92 GB" ], [ "123b-instruct-2407-q5_K_M", "86 GB" ], [ "123b-instruct-2407-q5_K_S", "84 GB" ], [ "123b-instruct-2407-q6_K", "101 GB" ], [ "123b-instruct-2407-q8_0", "130 GB" ] ], "image": false, "author": "Mistral AI" }, "qwen2": { "url": "https://ollama.com/library/qwen2", "description": "Qwen2 is a new series of large language models from Alibaba group", "tags": [ [ "latest", "4.4 GB" ], [ "72b", "41 GB" ], [ "7b", "4.4 GB" ], [ "1.5b", "935 MB" ], [ "0.5b", "352 MB" ], [ "72b-instruct", "41 GB" ], [ "72b-instruct-fp16", "145 GB" ], [ "72b-instruct-q2_K", "30 GB" ], [ "72b-instruct-q3_K_L", "40 GB" ], [ "72b-instruct-q3_K_M", "38 GB" ], [ "72b-instruct-q3_K_S", "34 GB" ], [ "72b-instruct-q4_0", "41 GB" ], [ "72b-instruct-q4_1", "46 GB" ], [ "72b-instruct-q4_K_M", "47 GB" ], [ "72b-instruct-q4_K_S", "44 GB" ], [ "72b-instruct-q5_0", "50 GB" ], [ "72b-instruct-q5_1", "55 GB" ], [ "72b-instruct-q5_K_M", "54 GB" ], [ "72b-instruct-q5_K_S", "51 GB" ], [ "72b-instruct-q6_K", "64 GB" ], [ "72b-instruct-q8_0", "77 GB" ], [ "72b-text", "41 GB" ], [ "72b-text-fp16", "145 GB" ], [ "72b-text-q2_K", "30 GB" ], [ "72b-text-q3_K_L", "40 GB" ], [ "72b-text-q3_K_M", "38 GB" ], [ "72b-text-q3_K_S", "34 GB" ], [ "72b-text-q4_0", "41 GB" ], [ "72b-text-q4_1", "46 GB" ], [ "72b-text-q4_K_M", "47 GB" ], [ "72b-text-q4_K_S", "44 GB" ], [ "72b-text-q5_0", "50 GB" ], [ "72b-text-q5_1", "55 GB" ], [ "72b-text-q5_K_M", "54 GB" ], [ "72b-text-q5_K_S", "51 GB" ], [ "72b-text-q6_K", "64 GB" ], [ "72b-text-q8_0", "77 GB" ], [ "7b-instruct", "4.4 GB" ], [ "7b-instruct-fp16", "15 GB" ], [ "7b-instruct-q2_K", "3.0 GB" ], [ "7b-instruct-q3_K_L", "4.1 GB" ], [ "7b-instruct-q3_K_M", "3.8 GB" ], [ "7b-instruct-q3_K_S", "3.5 GB" ], [ "7b-instruct-q4_0", "4.4 GB" ], [ "7b-instruct-q4_1", "4.9 GB" ], [ "7b-instruct-q4_K_M", "4.7 GB" ], [ "7b-instruct-q4_K_S", "4.5 GB" ], [ "7b-instruct-q5_0", "5.3 GB" ], [ "7b-instruct-q5_1", "5.8 GB" ], [ "7b-instruct-q5_K_M", "5.4 GB" ], [ "7b-instruct-q5_K_S", "5.3 GB" ], [ "7b-instruct-q6_K", "6.3 GB" ], [ "7b-instruct-q8_0", "8.1 GB" ], [ "7b-text", "4.4 GB" ], [ "7b-text-q2_K", "3.0 GB" ], [ "7b-text-q3_K_L", "4.1 GB" ], [ "7b-text-q3_K_M", "3.8 GB" ], [ "7b-text-q3_K_S", "3.5 GB" ], [ "7b-text-q4_0", "4.4 GB" ], [ "7b-text-q4_1", "4.9 GB" ], [ "7b-text-q4_K_M", "4.7 GB" ], [ "7b-text-q4_K_S", "4.5 GB" ], [ "7b-text-q5_0", "5.3 GB" ], [ "7b-text-q5_1", "5.8 GB" ], [ "7b-text-q8_0", "8.1 GB" ], [ "1.5b-instruct", "935 MB" ], [ "1.5b-instruct-fp16", "3.1 GB" ], [ "1.5b-instruct-q2_K", "676 MB" ], [ "1.5b-instruct-q3_K_L", "880 MB" ], [ "1.5b-instruct-q3_K_M", "824 MB" ], [ "1.5b-instruct-q3_K_S", "761 MB" ], [ "1.5b-instruct-q4_0", "935 MB" ], [ "1.5b-instruct-q4_1", "1.0 GB" ], [ "1.5b-instruct-q4_K_M", "986 MB" ], [ "1.5b-instruct-q4_K_S", "940 MB" ], [ "1.5b-instruct-q5_0", "1.1 GB" ], [ "1.5b-instruct-q5_1", "1.2 GB" ], [ "1.5b-instruct-q5_K_M", "1.1 GB" ], [ "1.5b-instruct-q5_K_S", "1.1 GB" ], [ "1.5b-instruct-q6_K", "1.3 GB" ], [ "1.5b-instruct-q8_0", "1.6 GB" ], [ "0.5b-instruct", "352 MB" ], [ "0.5b-instruct-fp16", "994 MB" ], [ "0.5b-instruct-q2_K", "339 MB" ], [ "0.5b-instruct-q3_K_L", "369 MB" ], [ "0.5b-instruct-q3_K_M", "355 MB" ], [ "0.5b-instruct-q3_K_S", "338 MB" ], [ "0.5b-instruct-q4_0", "352 MB" ], [ "0.5b-instruct-q4_1", "375 MB" ], [ "0.5b-instruct-q4_K_M", "398 MB" ], [ "0.5b-instruct-q4_K_S", "385 MB" ], [ "0.5b-instruct-q5_0", "397 MB" ], [ "0.5b-instruct-q5_1", "419 MB" ], [ "0.5b-instruct-q5_K_M", "420 MB" ], [ "0.5b-instruct-q5_K_S", "413 MB" ], [ "0.5b-instruct-q6_K", "506 MB" ], [ "0.5b-instruct-q8_0", "531 MB" ] ], "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", "8.9 GB" ], [ "236b", "133 GB" ], [ "16b", "8.9 GB" ], [ "lite", "8.9 GB" ], [ "236b-instruct-q4_k_m", "142 GB" ], [ "236b-instruct-fp16", "472 GB" ], [ "236b-instruct-q2_K", "86 GB" ], [ "236b-instruct-q3_K_L", "122 GB" ], [ "236b-instruct-q3_K_M", "113 GB" ], [ "236b-instruct-q3_K_S", "102 GB" ], [ "236b-instruct-q4_0", "133 GB" ], [ "236b-instruct-q4_1", "148 GB" ], [ "236b-instruct-q4_K_M", "142 GB" ], [ "236b-instruct-q4_K_S", "134 GB" ], [ "236b-instruct-q5_0", "162 GB" ], [ "236b-instruct-q5_1", "177 GB" ], [ "236b-instruct-q5_K_M", "167 GB" ], [ "236b-instruct-q5_K_S", "162 GB" ], [ "236b-instruct-q6_K", "194 GB" ], [ "236b-instruct-q8_0", "251 GB" ], [ "16b-lite-base-fp16", "31 GB" ], [ "16b-lite-base-q2_K", "6.4 GB" ], [ "16b-lite-base-q3_K_L", "8.5 GB" ], [ "16b-lite-base-q3_K_M", "8.1 GB" ], [ "16b-lite-base-q3_K_S", "7.5 GB" ], [ "16b-lite-base-q4_0", "8.9 GB" ], [ "16b-lite-base-q4_1", "9.9 GB" ], [ "16b-lite-base-q4_K_M", "10 GB" ], [ "16b-lite-base-q4_K_S", "9.5 GB" ], [ "16b-lite-base-q5_0", "11 GB" ], [ "16b-lite-base-q5_1", "12 GB" ], [ "16b-lite-base-q5_K_M", "12 GB" ], [ "16b-lite-base-q5_K_S", "11 GB" ], [ "16b-lite-base-q6_K", "14 GB" ], [ "16b-lite-base-q8_0", "17 GB" ], [ "16b-lite-instruct-fp16", "31 GB" ], [ "16b-lite-instruct-q2_K", "6.4 GB" ], [ "16b-lite-instruct-q3_K_L", "8.5 GB" ], [ "16b-lite-instruct-q3_K_M", "8.1 GB" ], [ "16b-lite-instruct-q3_K_S", "7.5 GB" ], [ "16b-lite-instruct-q4_0", "8.9 GB" ], [ "16b-lite-instruct-q4_1", "9.9 GB" ], [ "16b-lite-instruct-q4_K_M", "10 GB" ], [ "16b-lite-instruct-q4_K_S", "9.5 GB" ], [ "16b-lite-instruct-q5_0", "11 GB" ], [ "16b-lite-instruct-q5_1", "12 GB" ], [ "16b-lite-instruct-q5_K_M", "12 GB" ], [ "16b-lite-instruct-q5_K_S", "11 GB" ], [ "16b-lite-instruct-q6_K", "14 GB" ], [ "16b-lite-instruct-q8_0", "17 GB" ] ], "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", "2.2 GB" ], [ "14b", "7.9 GB" ], [ "3.8b", "2.2 GB" ], [ "instruct", "2.2 GB" ], [ "medium", "7.9 GB" ], [ "mini", "2.2 GB" ], [ "14b-instruct", "7.9 GB" ], [ "14b-medium-128k-instruct-f16", "28 GB" ], [ "14b-medium-4k-instruct-f16", "28 GB" ], [ "14b-medium-128k-instruct-q2_K", "5.1 GB" ], [ "14b-medium-128k-instruct-q3_K_L", "7.5 GB" ], [ "14b-medium-128k-instruct-q3_K_M", "6.9 GB" ], [ "14b-medium-128k-instruct-q3_K_S", "6.1 GB" ], [ "14b-medium-128k-instruct-q4_0", "7.9 GB" ], [ "14b-medium-128k-instruct-q4_1", "8.8 GB" ], [ "14b-medium-128k-instruct-q4_K_M", "8.6 GB" ], [ "14b-medium-128k-instruct-q4_K_S", "8.0 GB" ], [ "14b-medium-128k-instruct-q5_0", "9.6 GB" ], [ "14b-medium-128k-instruct-q5_1", "10 GB" ], [ "14b-medium-128k-instruct-q5_K_M", "10 GB" ], [ "14b-medium-128k-instruct-q5_K_S", "9.6 GB" ], [ "14b-medium-128k-instruct-q6_K", "11 GB" ], [ "14b-medium-4k-instruct-q2_K", "5.1 GB" ], [ "14b-medium-4k-instruct-q3_K_L", "7.5 GB" ], [ "14b-medium-4k-instruct-q3_K_M", "6.9 GB" ], [ "14b-medium-4k-instruct-q3_K_S", "6.1 GB" ], [ "14b-medium-4k-instruct-q4_0", "7.9 GB" ], [ "14b-medium-4k-instruct-q4_1", "8.8 GB" ], [ "14b-medium-4k-instruct-q4_K_M", "8.6 GB" ], [ "14b-medium-4k-instruct-q4_K_S", "8.0 GB" ], [ "14b-medium-4k-instruct-q5_0", "9.6 GB" ], [ "14b-medium-4k-instruct-q5_1", "10 GB" ], [ "14b-medium-4k-instruct-q5_K_M", "10 GB" ], [ "14b-medium-4k-instruct-q5_K_S", "9.6 GB" ], [ "14b-medium-4k-instruct-q6_K", "11 GB" ], [ "14b-medium-4k-instruct-q8_0", "15 GB" ], [ "3.8b-instruct", "2.2 GB" ], [ "3.8b-mini-4k-instruct-f16", "7.6 GB" ], [ "3.8b-mini-128k-instruct-f16", "7.6 GB" ], [ "3.8b-mini-128k-instruct-fp16", "7.6 GB" ], [ "3.8b-mini-128k-instruct-q2_K", "1.4 GB" ], [ "3.8b-mini-128k-instruct-q3_K_L", "2.1 GB" ], [ "3.8b-mini-128k-instruct-q3_K_M", "2.0 GB" ], [ "3.8b-mini-128k-instruct-q3_K_S", "1.7 GB" ], [ "3.8b-mini-128k-instruct-q4_0", "2.2 GB" ], [ "3.8b-mini-128k-instruct-q4_1", "2.4 GB" ], [ "3.8b-mini-128k-instruct-q4_K_M", "2.4 GB" ], [ "3.8b-mini-128k-instruct-q4_K_S", "2.2 GB" ], [ "3.8b-mini-128k-instruct-q5_0", "2.6 GB" ], [ "3.8b-mini-128k-instruct-q5_1", "2.9 GB" ], [ "3.8b-mini-128k-instruct-q5_K_M", "2.8 GB" ], [ "3.8b-mini-128k-instruct-q5_K_S", "2.6 GB" ], [ "3.8b-mini-128k-instruct-q6_K", "3.1 GB" ], [ "3.8b-mini-128k-instruct-q8_0", "4.1 GB" ], [ "3.8b-mini-4k-instruct-fp16", "7.6 GB" ], [ "3.8b-mini-4k-instruct-q2_K", "1.4 GB" ], [ "3.8b-mini-4k-instruct-q3_K_L", "2.1 GB" ], [ "3.8b-mini-4k-instruct-q3_K_M", "2.0 GB" ], [ "3.8b-mini-4k-instruct-q3_K_S", "1.7 GB" ], [ "3.8b-mini-4k-instruct-q4_0", "2.2 GB" ], [ "3.8b-mini-4k-instruct-q4_1", "2.4 GB" ], [ "3.8b-mini-4k-instruct-q4_K_M", "2.4 GB" ], [ "3.8b-mini-4k-instruct-q4_K_S", "2.2 GB" ], [ "3.8b-mini-4k-instruct-q5_0", "2.6 GB" ], [ "3.8b-mini-4k-instruct-q5_1", "2.9 GB" ], [ "3.8b-mini-4k-instruct-q5_K_M", "2.8 GB" ], [ "3.8b-mini-4k-instruct-q5_K_S", "2.6 GB" ], [ "3.8b-mini-4k-instruct-q6_K", "3.1 GB" ], [ "3.8b-mini-4k-instruct-q8_0", "4.1 GB" ], [ "3.8b-mini-instruct-4k-fp16", "7.6 GB" ], [ "mini-128k", "2.2 GB" ], [ "medium-128k", "7.9 GB" ], [ "mini-4k", "2.4 GB" ] ], "image": false, "author": "Microsoft" }, "mistral": { "url": "https://ollama.com/library/mistral", "description": "The 7B model released by Mistral AI, updated to version 0.3.", "tags": [ [ "latest", "4.1 GB" ], [ "7b", "4.1 GB" ], [ "instruct", "4.1 GB" ], [ "text", "4.1 GB" ], [ "v0.1", "4.1 GB" ], [ "v0.2", "4.1 GB" ], [ "v0.3", "4.1 GB" ], [ "7b-instruct", "4.1 GB" ], [ "7b-instruct-v0.2-fp16", "14 GB" ], [ "7b-instruct-v0.2-q2_K", "3.1 GB" ], [ "7b-instruct-v0.2-q3_K_L", "3.8 GB" ], [ "7b-instruct-v0.2-q3_K_M", "3.5 GB" ], [ "7b-instruct-v0.2-q3_K_S", "3.2 GB" ], [ "7b-instruct-v0.2-q4_0", "4.1 GB" ], [ "7b-instruct-v0.2-q4_1", "4.6 GB" ], [ "7b-instruct-v0.2-q4_K_M", "4.4 GB" ], [ "7b-instruct-v0.2-q4_K_S", "4.1 GB" ], [ "7b-instruct-v0.2-q5_0", "5.0 GB" ], [ "7b-instruct-v0.2-q5_1", "5.4 GB" ], [ "7b-instruct-v0.2-q5_K_M", "5.1 GB" ], [ "7b-instruct-v0.2-q5_K_S", "5.0 GB" ], [ "7b-instruct-v0.2-q6_K", "5.9 GB" ], [ "7b-instruct-v0.2-q8_0", "7.7 GB" ], [ "7b-instruct-v0.3-fp16", "14 GB" ], [ "7b-instruct-v0.3-q2_K", "2.7 GB" ], [ "7b-instruct-v0.3-q3_K_L", "3.8 GB" ], [ "7b-instruct-v0.3-q3_K_M", "3.5 GB" ], [ "7b-instruct-v0.3-q3_K_S", "3.2 GB" ], [ "7b-instruct-v0.3-q4_0", "4.1 GB" ], [ "7b-instruct-v0.3-q4_1", "4.6 GB" ], [ "7b-instruct-q4_0", "4.1 GB" ], [ "7b-instruct-v0.3-q5_K_M", "5.1 GB" ], [ "7b-instruct-v0.3-q8_0", "7.7 GB" ], [ "7b-instruct-v0.3-q4_K_S", "4.1 GB" ], [ "7b-instruct-q3_K_M", "3.5 GB" ], [ "7b-instruct-fp16", "14 GB" ], [ "7b-instruct-q3_K_L", "3.8 GB" ], [ "7b-instruct-v0.3-q5_0", "5.0 GB" ], [ "7b-instruct-q2_K", "3.1 GB" ], [ "7b-instruct-q3_K_S", "3.2 GB" ], [ "7b-instruct-v0.3-q6_K", "5.9 GB" ], [ "7b-instruct-v0.3-q5_K_S", "5.0 GB" ], [ "7b-instruct-v0.3-q5_1", "5.4 GB" ], [ "7b-instruct-v0.3-q4_K_M", "4.4 GB" ], [ "7b-instruct-q6_K", "5.9 GB" ], [ "7b-instruct-q5_K_S", "5.0 GB" ], [ "7b-instruct-q4_K_S", "4.1 GB" ], [ "7b-instruct-q5_K_M", "5.1 GB" ], [ "7b-instruct-q4_1", "4.6 GB" ], [ "7b-instruct-q5_0", "5.0 GB" ], [ "7b-instruct-q4_K_M", "4.4 GB" ], [ "7b-instruct-q5_1", "5.4 GB" ], [ "7b-instruct-q8_0", "7.7 GB" ], [ "7b-text", "4.1 GB" ], [ "7b-text-fp16", "14 GB" ], [ "7b-text-q2_K", "3.1 GB" ], [ "7b-text-q3_K_L", "3.8 GB" ], [ "7b-text-q3_K_M", "3.5 GB" ], [ "7b-text-v0.2-q3_K_M", "3.5 GB" ], [ "7b-text-q8_0", "7.7 GB" ], [ "7b-text-q5_K_S", "5.0 GB" ], [ "7b-text-q3_K_S", "3.2 GB" ], [ "7b-text-q5_0", "5.0 GB" ], [ "7b-text-q5_K_M", "5.1 GB" ], [ "7b-text-q4_K_M", "4.4 GB" ], [ "7b-text-q4_1", "4.6 GB" ], [ "7b-text-v0.2-q3_K_L", "3.8 GB" ], [ "7b-text-q6_K", "5.9 GB" ], [ "7b-text-q4_0", "4.1 GB" ], [ "7b-text-q5_1", "5.4 GB" ], [ "7b-text-v0.2-q2_K", "2.7 GB" ], [ "7b-text-v0.2-fp16", "14 GB" ], [ "7b-text-q4_K_S", "4.1 GB" ], [ "7b-text-v0.2-q3_K_S", "3.2 GB" ], [ "7b-text-v0.2-q4_0", "4.1 GB" ], [ "7b-text-v0.2-q4_1", "4.6 GB" ], [ "7b-text-v0.2-q4_K_M", "4.4 GB" ], [ "7b-text-v0.2-q4_K_S", "4.1 GB" ], [ "7b-text-v0.2-q5_0", "5.0 GB" ], [ "7b-text-v0.2-q5_1", "5.4 GB" ], [ "7b-text-v0.2-q5_K_M", "5.1 GB" ], [ "7b-text-v0.2-q5_K_S", "5.0 GB" ], [ "7b-text-v0.2-q6_K", "5.9 GB" ], [ "7b-text-v0.2-q8_0", "7.7 GB" ] ], "image": false, "author": "Mistral AI" }, "mixtral": { "url": "https://ollama.com/library/mixtral", "description": "A set of Mixture of Experts (MoE) model with open weights by Mistral AI in 8x7b and 8x22b parameter sizes.", "tags": [ [ "latest", "26 GB" ], [ "8x7b", "26 GB" ], [ "8x22b", "80 GB" ], [ "instruct", "26 GB" ], [ "text", "26 GB" ], [ "v0.1", "80 GB" ], [ "8x22b-instruct", "80 GB" ], [ "8x22b-instruct-v0.1-fp16", "281 GB" ], [ "8x22b-instruct-v0.1-q2_K", "52 GB" ], [ "8x22b-instruct-v0.1-q3_K_L", "73 GB" ], [ "8x22b-instruct-v0.1-q3_K_M", "68 GB" ], [ "8x22b-instruct-v0.1-q3_K_S", "62 GB" ], [ "8x22b-instruct-v0.1-q4_0", "80 GB" ], [ "8x22b-instruct-v0.1-q4_1", "88 GB" ], [ "8x22b-instruct-v0.1-q4_K_M", "86 GB" ], [ "8x22b-instruct-v0.1-q4_K_S", "80 GB" ], [ "8x22b-instruct-v0.1-q5_0", "97 GB" ], [ "8x22b-instruct-v0.1-q5_1", "106 GB" ], [ "8x22b-instruct-v0.1-q5_K_M", "100 GB" ], [ "8x22b-instruct-v0.1-q5_K_S", "97 GB" ], [ "8x22b-instruct-v0.1-q6_K", "116 GB" ], [ "8x22b-instruct-v0.1-q8_0", "149 GB" ], [ "8x7b-instruct-v0.1-fp16", "93 GB" ], [ "8x7b-instruct-v0.1-q2_K", "16 GB" ], [ "8x7b-instruct-v0.1-q3_K_L", "20 GB" ], [ "8x7b-instruct-v0.1-q3_K_M", "20 GB" ], [ "8x7b-instruct-v0.1-q3_K_S", "20 GB" ], [ "8x7b-instruct-v0.1-q4_0", "26 GB" ], [ "8x7b-instruct-v0.1-q4_1", "29 GB" ], [ "8x7b-instruct-v0.1-q4_K_M", "26 GB" ], [ "8x7b-instruct-v0.1-q4_K_S", "26 GB" ], [ "8x7b-instruct-v0.1-q5_0", "32 GB" ], [ "8x7b-instruct-v0.1-q5_1", "35 GB" ], [ "8x7b-instruct-v0.1-q5_K_M", "32 GB" ], [ "8x7b-instruct-v0.1-q5_K_S", "32 GB" ], [ "8x7b-instruct-v0.1-q6_K", "38 GB" ], [ "8x7b-instruct-v0.1-q8_0", "50 GB" ], [ "8x22b-text", "80 GB" ], [ "8x22b-text-v0.1-fp16", "281 GB" ], [ "8x22b-text-v0.1-q2_K", "52 GB" ], [ "8x22b-text-v0.1-q3_K_L", "73 GB" ], [ "8x22b-text-v0.1-q3_K_M", "68 GB" ], [ "8x22b-text-v0.1-q3_K_S", "61 GB" ], [ "8x22b-text-v0.1-q4_0", "80 GB" ], [ "8x22b-text-v0.1-q4_1", "88 GB" ], [ "8x22b-text-v0.1-q4_K_M", "86 GB" ], [ "8x22b-text-v0.1-q4_K_S", "80 GB" ], [ "8x22b-text-v0.1-q5_0", "97 GB" ], [ "8x22b-text-v0.1-q5_1", "106 GB" ], [ "8x22b-text-v0.1-q5_K_M", "100 GB" ], [ "8x22b-text-v0.1-q5_K_S", "97 GB" ], [ "8x22b-text-v0.1-q6_K", "116 GB" ], [ "8x22b-text-v0.1-q8_0", "149 GB" ], [ "8x7b-text-v0.1-fp16", "93 GB" ], [ "8x7b-text-v0.1-q2_K", "16 GB" ], [ "8x7b-text-v0.1-q3_K_L", "20 GB" ], [ "8x7b-text-v0.1-q3_K_M", "20 GB" ], [ "8x7b-text-v0.1-q3_K_S", "20 GB" ], [ "8x7b-text-v0.1-q4_0", "26 GB" ], [ "8x7b-text-v0.1-q4_1", "29 GB" ], [ "8x7b-text-v0.1-q4_K_M", "26 GB" ], [ "8x7b-text-v0.1-q4_K_S", "26 GB" ], [ "8x7b-text-v0.1-q5_0", "32 GB" ], [ "8x7b-text-v0.1-q5_1", "35 GB" ], [ "8x7b-text-v0.1-q5_K_M", "32 GB" ], [ "8x7b-text-v0.1-q5_K_S", "32 GB" ], [ "8x7b-text-v0.1-q6_K", "38 GB" ], [ "8x7b-text-v0.1-q8_0", "50 GB" ], [ "v0.1-instruct", "80 GB" ] ], "image": false, "author": "Mistral AI" }, "codegemma": { "url": "https://ollama.com/library/codegemma", "description": "CodeGemma is a collection of powerful, lightweight models that can perform a variety of coding tasks like fill-in-the-middle code completion, code generation, natural language understanding, mathematical reasoning, and instruction following.", "tags": [ [ "latest", "5.0 GB" ], [ "7b", "5.0 GB" ], [ "2b", "1.6 GB" ], [ "code", "1.6 GB" ], [ "instruct", "5.0 GB" ], [ "7b-code", "5.0 GB" ], [ "7b-code-fp16", "17 GB" ], [ "7b-code-q2_K", "3.5 GB" ], [ "7b-code-q3_K_L", "4.7 GB" ], [ "7b-code-q3_K_M", "4.4 GB" ], [ "7b-code-q3_K_S", "4.0 GB" ], [ "7b-code-q4_0", "5.0 GB" ], [ "7b-code-q4_1", "5.5 GB" ], [ "7b-code-q4_K_M", "5.3 GB" ], [ "7b-code-q4_K_S", "5.0 GB" ], [ "7b-code-q5_0", "6.0 GB" ], [ "7b-code-q5_1", "6.5 GB" ], [ "7b-code-q5_K_M", "6.1 GB" ], [ "7b-code-q5_K_S", "6.0 GB" ], [ "7b-code-q6_K", "7.0 GB" ], [ "7b-code-q8_0", "9.1 GB" ], [ "7b-instruct", "5.0 GB" ], [ "7b-instruct-v1.1-fp16", "17 GB" ], [ "7b-instruct-v1.1-q2_K", "3.5 GB" ], [ "7b-instruct-v1.1-q3_K_L", "4.7 GB" ], [ "7b-instruct-q3_K_S", "4.0 GB" ], [ "7b-instruct-v1.1-q6_K", "7.0 GB" ], [ "7b-instruct-v1.1-q5_K_M", "6.1 GB" ], [ "7b-instruct-v1.1-q8_0", "9.1 GB" ], [ "7b-instruct-v1.1-q4_0", "5.0 GB" ], [ "7b-instruct-v1.1-q5_K_S", "6.0 GB" ], [ "7b-instruct-fp16", "17 GB" ], [ "7b-instruct-v1.1-q5_1", "6.5 GB" ], [ "7b-instruct-v1.1-q4_1", "5.5 GB" ], [ "7b-instruct-v1.1-q5_0", "6.0 GB" ], [ "7b-instruct-v1.1-q3_K_M", "4.4 GB" ], [ "7b-instruct-v1.1-q4_K_S", "5.0 GB" ], [ "7b-instruct-v1.1-q4_K_M", "5.3 GB" ], [ "7b-instruct-q3_K_M", "4.4 GB" ], [ "7b-instruct-v1.1-q3_K_S", "4.0 GB" ], [ "7b-instruct-q2_K", "3.5 GB" ], [ "7b-instruct-q3_K_L", "4.7 GB" ], [ "7b-instruct-q4_0", "5.0 GB" ], [ "7b-instruct-q4_1", "5.5 GB" ], [ "7b-instruct-q4_K_M", "5.3 GB" ], [ "7b-instruct-q4_K_S", "5.0 GB" ], [ "7b-instruct-q5_0", "6.0 GB" ], [ "7b-instruct-q5_1", "6.5 GB" ], [ "7b-instruct-q5_K_M", "6.1 GB" ], [ "7b-instruct-q5_K_S", "6.0 GB" ], [ "7b-instruct-q6_K", "7.0 GB" ], [ "7b-instruct-q8_0", "9.1 GB" ], [ "7b-v1.1", "5.0 GB" ], [ "2b-code", "1.6 GB" ], [ "2b-code-fp16", "5.0 GB" ], [ "2b-code-q2_K", "1.2 GB" ], [ "2b-code-q3_K_L", "1.5 GB" ], [ "2b-code-q3_K_M", "1.4 GB" ], [ "2b-code-q3_K_S", "1.3 GB" ], [ "2b-code-q4_0", "1.6 GB" ], [ "2b-code-q4_1", "1.7 GB" ], [ "2b-code-q4_K_M", "1.6 GB" ], [ "2b-code-q4_K_S", "1.6 GB" ], [ "2b-code-q5_0", "1.8 GB" ], [ "2b-code-v1.1-q4_1", "1.7 GB" ], [ "2b-code-v1.1-fp16", "5.0 GB" ], [ "2b-code-v1.1-q3_K_S", "1.3 GB" ], [ "2b-code-q5_1", "1.9 GB" ], [ "2b-code-v1.1-q3_K_L", "1.5 GB" ], [ "2b-code-v1.1-q3_K_M", "1.4 GB" ], [ "2b-code-q5_K_S", "1.8 GB" ], [ "2b-code-q8_0", "2.7 GB" ], [ "2b-code-v1.1-q4_0", "1.6 GB" ], [ "2b-code-v1.1-q2_K", "1.2 GB" ], [ "2b-code-q6_K", "2.1 GB" ], [ "2b-code-q5_K_M", "1.8 GB" ], [ "2b-code-v1.1-q4_K_M", "1.6 GB" ], [ "2b-code-v1.1-q4_K_S", "1.6 GB" ], [ "2b-code-v1.1-q5_0", "1.8 GB" ], [ "2b-code-v1.1-q5_1", "1.9 GB" ], [ "2b-code-v1.1-q5_K_M", "1.8 GB" ], [ "2b-code-v1.1-q5_K_S", "1.8 GB" ], [ "2b-code-v1.1-q6_K", "2.1 GB" ], [ "2b-code-v1.1-q8_0", "2.7 GB" ], [ "2b-v1.1", "1.6 GB" ] ], "image": false, "author": "Google DeepMind" }, "command-r": { "url": "https://ollama.com/library/command-r", "description": "Command R is a Large Language Model optimized for conversational interaction and long context tasks.", "tags": [ [ "latest", 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"\ud83c\udf0b LLaVA is a novel end-to-end trained large multimodal model that combines a vision encoder and Vicuna for general-purpose visual and language understanding. 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"110b-chat-v1.5-q2_K", "41 GB" ], [ "110b-chat-v1.5-q3_K_L", "58 GB" ], [ "110b-chat-v1.5-q3_K_M", "54 GB" ], [ "110b-chat-v1.5-q3_K_S", "48 GB" ], [ "110b-chat-v1.5-q4_0", "63 GB" ], [ "110b-chat-v1.5-q4_1", "70 GB" ], [ "110b-chat-v1.5-q4_K_M", "67 GB" ], [ "110b-chat-v1.5-q4_K_S", "63 GB" ], [ "110b-chat-v1.5-q5_0", "77 GB" ], [ "110b-chat-v1.5-q5_1", "84 GB" ], [ "110b-chat-v1.5-q5_K_M", "79 GB" ], [ "110b-chat-v1.5-q5_K_S", "77 GB" ], [ "110b-chat-v1.5-q6_K", "91 GB" ], [ "110b-chat-v1.5-q8_0", "118 GB" ], [ "110b-text-v1.5-fp16", "222 GB" ], [ "110b-text-v1.5-q2_K", "41 GB" ], [ "110b-text-v1.5-q3_K_L", "58 GB" ], [ "110b-text-v1.5-q3_K_M", "54 GB" ], [ "110b-text-v1.5-q3_K_S", "48 GB" ], [ "110b-text-v1.5-q4_0", "63 GB" ], [ "110b-text-v1.5-q4_1", "70 GB" ], [ "110b-text-v1.5-q4_K_M", "67 GB" ], [ "110b-text-v1.5-q4_K_S", "63 GB" ], [ "110b-text-v1.5-q5_0", "77 GB" ], [ "110b-text-v1.5-q5_1", "84 GB" ], [ "110b-text-v1.5-q5_K_M", "79 GB" ], [ "110b-text-v1.5-q5_K_S", "77 GB" ], [ "110b-text-v1.5-q6_K", "91 GB" ], [ "110b-text-v1.5-q8_0", "118 GB" ], [ "72b-chat", "41 GB" ], [ "72b-chat-v1.5-fp16", "145 GB" ], [ "72b-chat-v1.5-q2_K", "28 GB" ], [ "72b-chat-v1.5-q3_K_L", "38 GB" ], [ "72b-chat-v1.5-q3_K_M", "36 GB" ], [ "72b-chat-v1.5-q3_K_S", "33 GB" ], [ "72b-chat-v1.5-q4_0", "41 GB" ], [ "72b-chat-v1.5-q4_1", "45 GB" ], [ "72b-chat-v1.5-q4_K_M", "44 GB" ], [ "72b-chat-v1.5-q4_K_S", "42 GB" ], [ "72b-chat-q4_K_M", "45 GB" ], [ "72b-chat-v1.5-q6_K", "59 GB" ], [ "72b-chat-v1.5-q5_K_S", "50 GB" ], [ "72b-chat-q4_0", "41 GB" ], [ "72b-chat-q3_K_S", "32 GB" ], [ "72b-chat-q3_K_L", "39 GB" ], [ "72b-chat-q3_K_M", "37 GB" ], [ "72b-chat-v1.5-q5_0", "50 GB" ], [ "72b-chat-fp16", "145 GB" ], [ "72b-chat-v1.5-q5_1", "54 GB" ], [ "72b-chat-q2_K", "27 GB" ], [ "72b-chat-v1.5-q8_0", "77 GB" ], [ "72b-chat-q4_1", "45 GB" ], [ "72b-chat-v1.5-q5_K_M", "51 GB" ], [ "72b-chat-q4_K_S", "41 GB" ], [ "72b-chat-q5_0", "50 GB" ], [ "72b-chat-q5_1", "54 GB" ], [ "72b-chat-q5_K_M", "53 GB" ], [ "72b-chat-q5_K_S", "50 GB" ], [ "72b-chat-q6_K", "59 GB" ], [ "72b-chat-q8_0", "77 GB" ], [ "72b-text", "63 GB" ], [ "72b-text-fp16", "145 GB" ], [ "72b-text-q2_K", "27 GB" ], [ "72b-text-q3_K_L", "39 GB" ], [ "72b-text-q3_K_M", "37 GB" ], [ "72b-text-q3_K_S", "32 GB" ], [ "72b-text-q4_0", "41 GB" ], [ "72b-text-q4_1", "45 GB" ], [ "72b-text-q4_K_M", "45 GB" ], [ "72b-text-q4_K_S", "41 GB" ], [ "72b-text-q5_0", "50 GB" ], [ "72b-text-q5_1", "54 GB" ], [ "72b-text-q5_K_M", "53 GB" ], [ "72b-text-q5_K_S", "50 GB" ], [ "72b-text-v1.5-q5_1", "54 GB" ], [ "72b-text-v1.5-q4_K_M", "44 GB" ], [ "72b-text-v1.5-q5_0", "50 GB" ], [ "72b-text-q6_K", "59 GB" ], [ "72b-text-v1.5-q2_K", "28 GB" ], [ "72b-text-v1.5-q3_K_S", "33 GB" ], [ "72b-text-v1.5-q3_K_M", "36 GB" ], [ "72b-text-v1.5-q4_1", "45 GB" ], [ "72b-text-v1.5-q4_0", "41 GB" ], [ "72b-text-v1.5-q4_K_S", "42 GB" ], [ "72b-text-v1.5-fp16", "145 GB" ], [ "72b-text-v1.5-q3_K_L", "38 GB" ], [ "72b-text-q8_0", "77 GB" ], [ "72b-text-v1.5-q5_K_M", "51 GB" ], [ "72b-text-v1.5-q5_K_S", "50 GB" ], [ "72b-text-v1.5-q6_K", "59 GB" ], [ "72b-text-v1.5-q8_0", "77 GB" ], [ "32b-chat", "18 GB" ], [ "32b-chat-v1.5-fp16", "65 GB" ], [ "32b-chat-v1.5-q2_K", "12 GB" ], [ "32b-chat-v1.5-q3_K_L", "17 GB" ], [ "32b-chat-v1.5-q3_K_M", "16 GB" ], [ "32b-chat-v1.5-q3_K_S", "14 GB" ], [ "32b-chat-v1.5-q4_0", "18 GB" ], [ "32b-chat-v1.5-q4_1", "20 GB" ], [ "32b-chat-v1.5-q4_K_M", "20 GB" ], [ "32b-chat-v1.5-q4_K_S", "19 GB" ], [ "32b-chat-v1.5-q5_0", "22 GB" ], [ "32b-chat-v1.5-q5_1", "24 GB" ], [ "32b-chat-v1.5-q5_K_M", "23 GB" ], [ "32b-chat-v1.5-q5_K_S", "22 GB" ], [ "32b-chat-v1.5-q6_K", "27 GB" ], [ "32b-chat-v1.5-q8_0", "35 GB" ], [ "32b-text", "18 GB" ], [ "32b-text-v1.5-q2_K", "12 GB" ], [ "32b-text-v1.5-q3_K_L", "17 GB" ], [ "32b-text-v1.5-q3_K_M", "16 GB" ], [ "32b-text-v1.5-q3_K_S", "14 GB" ], [ "32b-text-v1.5-q4_0", "18 GB" ], [ "32b-text-v1.5-q4_1", "20 GB" ], [ "32b-text-v1.5-q4_K_S", "19 GB" ], [ "32b-text-v1.5-q5_0", "22 GB" ], [ "32b-text-v1.5-q5_1", "24 GB" ], [ "32b-text-v1.5-q8_0", "35 GB" ], [ "14b-chat", "8.2 GB" ], [ "14b-chat-fp16", "28 GB" ], [ "14b-chat-q2_K", "6.0 GB" ], [ "14b-chat-q3_K_L", "8.0 GB" ], [ "14b-chat-q3_K_M", "7.7 GB" ], [ "14b-chat-q3_K_S", "6.9 GB" ], [ "14b-chat-q4_0", "8.2 GB" ], [ "14b-chat-q4_1", "9.0 GB" ], [ "14b-chat-q4_K_M", "9.4 GB" ], [ "14b-chat-q4_K_S", "8.6 GB" ], [ "14b-chat-q5_0", "9.9 GB" ], [ "14b-chat-q5_1", "11 GB" ], [ "14b-chat-v1.5-q2_K", "6.1 GB" ], [ "14b-chat-q8_0", "15 GB" ], [ "14b-chat-q5_K_M", "11 GB" ], [ "14b-chat-v1.5-fp16", "28 GB" ], [ "14b-chat-q5_K_S", "10 GB" ], [ "14b-chat-q6_K", "12 GB" ], [ "14b-chat-v1.5-q5_K_S", "10 GB" ], [ "14b-chat-v1.5-q4_1", "9.0 GB" ], [ "14b-chat-v1.5-q5_1", "11 GB" ], [ "14b-chat-v1.5-q5_K_M", "11 GB" ], [ "14b-chat-v1.5-q4_0", "8.2 GB" ], [ "14b-chat-v1.5-q3_K_S", "6.9 GB" ], [ "14b-chat-v1.5-q5_0", "9.9 GB" ], [ "14b-chat-v1.5-q3_K_L", "7.8 GB" ], [ "14b-chat-v1.5-q3_K_M", "7.4 GB" ], [ "14b-chat-v1.5-q4_K_S", "8.6 GB" ], [ "14b-chat-v1.5-q4_K_M", "9.2 GB" ], [ "14b-chat-v1.5-q6_K", "12 GB" ], [ "14b-chat-v1.5-q8_0", "15 GB" ], [ "14b-text", "8.2 GB" ], [ "14b-text-fp16", "28 GB" ], [ "14b-text-q2_K", "6.0 GB" ], [ "14b-text-q3_K_L", "8.0 GB" ], [ "14b-text-q3_K_M", "7.7 GB" ], [ "14b-text-q3_K_S", "6.9 GB" ], [ "14b-text-q4_0", "8.2 GB" ], [ "14b-text-q4_1", "9.0 GB" ], [ "14b-text-q4_K_M", "9.4 GB" ], [ "14b-text-q4_K_S", "8.6 GB" ], [ "14b-text-q5_0", "9.9 GB" ], [ "14b-text-q5_1", "11 GB" ], [ "14b-text-q5_K_M", "11 GB" ], [ "14b-text-q5_K_S", "10 GB" ], [ "14b-text-q6_K", "12 GB" ], [ "14b-text-v1.5-q5_K_M", "11 GB" ], [ "14b-text-v1.5-q4_K_S", "8.6 GB" ], [ "14b-text-v1.5-q4_1", "9.0 GB" ], [ "14b-text-v1.5-q5_1", "11 GB" ], [ "14b-text-q8_0", "15 GB" ], [ "14b-text-v1.5-fp16", "28 GB" ], [ "14b-text-v1.5-q3_K_L", "7.8 GB" ], [ "14b-text-v1.5-q3_K_S", "6.9 GB" ], [ "14b-text-v1.5-q4_0", "8.2 GB" ], [ "14b-text-v1.5-q2_K", "6.1 GB" ], [ "14b-text-v1.5-q5_0", "9.9 GB" ], [ "14b-text-v1.5-q3_K_M", "7.4 GB" ], [ "14b-text-v1.5-q4_K_M", "9.2 GB" ], [ "14b-text-v1.5-q5_K_S", "10 GB" ], [ "14b-text-v1.5-q6_K", "12 GB" ], [ "14b-text-v1.5-q8_0", "15 GB" ], [ "7b-chat", "4.5 GB" ], [ "7b-chat-fp16", "15 GB" ], [ "7b-chat-q2_K", "3.0 GB" ], [ "7b-chat-q3_K_L", "4.3 GB" ], [ "7b-chat-q3_K_M", "4.1 GB" ], [ "7b-chat-q3_K_S", "3.6 GB" ], [ "7b-chat-q4_0", "4.5 GB" ], [ "7b-chat-q4_1", "5.0 GB" ], [ "7b-chat-q4_K_M", "4.9 GB" ], [ "7b-chat-q4_K_S", "4.5 GB" ], [ "7b-chat-q5_0", "5.4 GB" ], [ "7b-chat-q5_1", "5.8 GB" ], [ "7b-chat-q5_K_M", "5.7 GB" ], [ "7b-chat-v1.5-q3_K_L", "4.2 GB" ], [ "7b-chat-q8_0", "8.2 GB" ], [ "7b-chat-v1.5-fp16", "15 GB" ], [ "7b-chat-v1.5-q2_K", "3.1 GB" ], [ "7b-chat-q5_K_S", "5.4 GB" ], [ "7b-chat-q6_K", "6.3 GB" ], [ "7b-chat-v1.5-q5_1", "5.8 GB" ], [ "7b-chat-v1.5-q3_K_S", "3.6 GB" ], [ "7b-chat-v1.5-q4_K_S", "4.5 GB" ], [ "7b-chat-v1.5-q4_0", "4.5 GB" ], [ "7b-chat-v1.5-q4_K_M", "4.8 GB" ], [ "7b-chat-v1.5-q4_1", "5.0 GB" ], [ "7b-chat-v1.5-q3_K_M", "3.9 GB" ], [ "7b-chat-v1.5-q5_0", "5.4 GB" ], [ "7b-chat-v1.5-q5_K_M", "5.5 GB" ], [ "7b-chat-v1.5-q5_K_S", "5.4 GB" ], [ "7b-chat-v1.5-q6_K", "6.3 GB" ], [ "7b-chat-v1.5-q8_0", "8.2 GB" ], [ "7b-text", "4.5 GB" ], [ "7b-text-v1.5-fp16", "15 GB" ], [ "7b-text-v1.5-q2_K", "3.1 GB" ], [ "7b-text-v1.5-q3_K_L", "4.2 GB" ], [ "7b-text-v1.5-q3_K_M", "3.9 GB" ], [ "7b-text-v1.5-q3_K_S", "3.6 GB" ], [ "7b-text-v1.5-q4_0", "4.5 GB" ], [ "7b-text-v1.5-q4_1", "5.0 GB" ], [ "7b-text-v1.5-q4_K_M", "4.8 GB" ], [ "7b-text-v1.5-q4_K_S", "4.5 GB" ], [ "7b-text-v1.5-q5_0", "5.4 GB" ], [ "7b-text-v1.5-q5_1", "5.8 GB" ], [ "7b-text-v1.5-q5_K_M", "5.5 GB" ], [ "7b-text-v1.5-q5_K_S", "5.4 GB" ], [ "7b-text-v1.5-q6_K", "6.3 GB" ], [ "7b-text-v1.5-q8_0", "8.2 GB" ], [ "4b-chat", "2.3 GB" ], [ "4b-text", "2.3 GB" ], [ "1.8b-chat", "1.1 GB" ], [ "7b-fp16", "15 GB" ], [ "7b-q2_K", "3.0 GB" ], [ "7b-q3_K_L", "4.3 GB" ], [ "7b-q3_K_M", "4.1 GB" ], [ "7b-q3_K_S", "3.6 GB" ], [ "7b-q4_0", "4.5 GB" ], [ "7b-q4_1", "5.0 GB" ], [ "7b-q4_K_M", "4.9 GB" ], [ "7b-q4_K_S", "4.5 GB" ], [ "7b-q5_0", "5.4 GB" ], [ "7b-q5_1", "5.8 GB" ], [ "7b-q5_K_M", "5.7 GB" ], [ "7b-q5_K_S", "5.4 GB" ], [ "7b-q6_K", "6.3 GB" ], [ "7b-q8_0", "8.2 GB" ], [ "4b-chat-v1.5-fp16", "7.9 GB" ], [ "4b-chat-v1.5-q2_K", "1.6 GB" ], [ "4b-chat-v1.5-q3_K_L", "2.2 GB" ], [ "4b-chat-v1.5-q3_K_M", "2.0 GB" ], [ "4b-chat-v1.5-q3_K_S", "1.9 GB" ], [ "4b-chat-v1.5-q4_0", "2.3 GB" ], [ "4b-chat-v1.5-q4_1", "2.6 GB" ], [ "4b-chat-v1.5-q4_K_M", "2.5 GB" ], [ "4b-chat-v1.5-q4_K_S", "2.3 GB" ], [ "4b-chat-v1.5-q5_0", "2.8 GB" ], [ "4b-chat-v1.5-q5_1", "3.0 GB" ], [ "4b-chat-v1.5-q5_K_M", "2.8 GB" ], [ "4b-chat-v1.5-q5_K_S", "2.8 GB" ], [ "4b-chat-v1.5-q6_K", "3.2 GB" ], [ "4b-chat-v1.5-q8_0", "4.2 GB" ], [ "4b-text-v1.5-fp16", "7.9 GB" ], [ "4b-text-v1.5-q2_K", "1.6 GB" ], [ "4b-text-v1.5-q3_K_L", "2.2 GB" ], [ "4b-text-v1.5-q3_K_M", "2.0 GB" ], [ "4b-text-v1.5-q3_K_S", "1.9 GB" ], [ "4b-text-v1.5-q4_0", "2.3 GB" ], [ "4b-text-v1.5-q4_1", "2.6 GB" ], [ "4b-text-v1.5-q4_K_M", "2.5 GB" ], [ "4b-text-v1.5-q4_K_S", "2.3 GB" ], [ "4b-text-v1.5-q5_0", "2.8 GB" ], [ "4b-text-v1.5-q5_1", "3.0 GB" ], [ "4b-text-v1.5-q5_K_M", "2.8 GB" ], [ "4b-text-v1.5-q5_K_S", "2.8 GB" ], [ "4b-text-v1.5-q6_K", "3.2 GB" ], [ "4b-text-v1.5-q8_0", "4.2 GB" ], [ "1.8b-chat-v1.5-fp16", "3.7 GB" ], [ "1.8b-chat-v1.5-q2_K", "863 MB" ], [ "1.8b-chat-v1.5-q3_K_L", "1.1 GB" ], [ "1.8b-chat-v1.5-q3_K_M", "1.0 GB" ], [ "1.8b-chat-v1.5-q3_K_S", "970 MB" ], [ "1.8b-chat-v1.5-q4_0", "1.1 GB" ], [ "1.8b-chat-v1.5-q4_1", "1.2 GB" ], [ "1.8b-chat-v1.5-q4_K_M", "1.2 GB" ], [ "1.8b-chat-v1.5-q4_K_S", "1.2 GB" ], [ "1.8b-chat-v1.5-q5_0", "1.3 GB" ], [ "1.8b-chat-v1.5-q5_1", "1.4 GB" ], [ "1.8b-chat-v1.5-q5_K_M", "1.4 GB" ], [ "1.8b-chat-v1.5-q5_K_S", "1.3 GB" ], [ "1.8b-chat-v1.5-q6_K", "1.6 GB" ], [ "1.8b-chat-q6_K", "1.6 GB" ], [ "1.8b-chat-q2_K", "853 MB" ], [ "1.8b-chat-v1.5-q8_0", "2.0 GB" ], [ "1.8b-chat-q3_K_L", "1.1 GB" ], [ "1.8b-chat-q5_0", "1.3 GB" ], [ "1.8b-chat-q4_K_S", "1.2 GB" ], [ "1.8b-chat-q5_K_M", "1.4 GB" ], [ "1.8b-chat-q4_K_M", "1.2 GB" ], [ "1.8b-chat-q5_K_S", "1.3 GB" ], [ "1.8b-chat-fp16", "3.7 GB" ], [ "1.8b-chat-q4_1", "1.2 GB" ], [ "1.8b-chat-q5_1", "1.4 GB" ], [ "1.8b-chat-q3_K_M", "1.0 GB" ], [ "1.8b-chat-q4_0", "1.1 GB" ], [ "1.8b-chat-q3_K_S", "970 MB" ], [ "1.8b-chat-q8_0", "2.0 GB" ], [ "1.8b-text", "1.1 GB" ], [ "1.8b-text-v1.5-fp16", "3.7 GB" ], [ "1.8b-text-v1.5-q2_K", "863 MB" ], [ "1.8b-text-q5_1", "1.4 GB" ], [ "1.8b-text-v1.5-q4_0", "1.1 GB" ], [ "1.8b-text-v1.5-q8_0", "2.0 GB" ], [ "1.8b-text-q4_0", "1.1 GB" ], [ "1.8b-text-v1.5-q6_K", "1.6 GB" ], [ "1.8b-text-v1.5-q5_1", "1.4 GB" ], [ "1.8b-text-q4_K_M", "1.2 GB" ], [ "1.8b-text-q3_K_S", "970 MB" ], [ "1.8b-text-q4_K_S", "1.2 GB" ], [ "1.8b-text-q2_K", "853 MB" ], [ "1.8b-text-v1.5-q3_K_L", "1.1 GB" ], [ "1.8b-text-q4_1", "1.2 GB" ], [ "1.8b-text-v1.5-q3_K_M", "1.0 GB" ], [ "1.8b-text-v1.5-q4_1", "1.2 GB" ], [ "1.8b-text-v1.5-q4_K_S", "1.2 GB" ], [ "1.8b-text-q3_K_M", "1.0 GB" ], [ "1.8b-text-v1.5-q3_K_S", "970 MB" ], [ "1.8b-text-v1.5-q4_K_M", "1.2 GB" ], [ "1.8b-text-fp16", "3.7 GB" ], [ "1.8b-text-v1.5-q5_K_M", "1.4 GB" ], [ "1.8b-text-q5_0", "1.3 GB" ], [ "1.8b-text-v1.5-q5_K_S", "1.3 GB" ], [ "1.8b-text-q3_K_L", "1.1 GB" ], [ "1.8b-text-v1.5-q5_0", "1.3 GB" ], [ "1.8b-text-q5_K_M", "1.4 GB" ], [ "1.8b-text-q5_K_S", "1.3 GB" ], [ "1.8b-text-q6_K", "1.6 GB" ], [ "1.8b-text-q8_0", "2.0 GB" ], [ "0.5b-chat", "395 MB" ], [ "0.5b-chat-v1.5-fp16", "1.2 GB" ], [ "0.5b-chat-v1.5-q2_K", "298 MB" ], [ "0.5b-chat-v1.5-q3_K_L", "364 MB" ], [ "0.5b-chat-v1.5-q3_K_M", "350 MB" ], [ "0.5b-chat-v1.5-q3_K_S", "333 MB" ], [ "0.5b-chat-v1.5-q4_0", "395 MB" ], [ "0.5b-chat-v1.5-q4_1", "424 MB" ], [ "0.5b-chat-v1.5-q4_K_M", "407 MB" ], [ "0.5b-chat-v1.5-q4_K_S", "397 MB" ], [ "0.5b-chat-v1.5-q5_0", "453 MB" ], [ "0.5b-chat-v1.5-q5_1", "482 MB" ], [ "0.5b-chat-v1.5-q5_K_M", "459 MB" ], [ 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"description": "Mistral OpenOrca is a 7 billion parameter model, fine-tuned on top of the Mistral 7B model using the OpenOrca dataset.", "tags": [ [ "latest", "4.1 GB" ], [ "7b", "4.1 GB" ], [ "7b-fp16", "14 GB" ], [ "7b-q2_K", "3.1 GB" ], [ "7b-q3_K_L", "3.8 GB" ], [ "7b-q3_K_M", "3.5 GB" ], [ "7b-q3_K_S", "3.2 GB" ], [ "7b-q4_0", "4.1 GB" ], [ "7b-q4_1", "4.6 GB" ], [ "7b-q4_K_M", "4.4 GB" ], [ "7b-q4_K_S", "4.1 GB" ], [ "7b-q5_0", "5.0 GB" ], [ "7b-q5_1", "5.4 GB" ], [ "7b-q5_K_M", "5.1 GB" ], [ "7b-q5_K_S", "5.0 GB" ], [ "7b-q6_K", "5.9 GB" ], [ "7b-q8_0", "7.7 GB" ] ], "image": false, "author": "Open Orca" }, "yi": { "url": "https://ollama.com/library/yi", "description": "Yi 1.5 is a high-performing, bilingual language model.", "tags": [ [ "latest", "3.5 GB" ], [ "34b", "19 GB" ], [ "9b", "5.0 GB" ], [ "6b", "3.5 GB" ], [ "v1.5", "3.5 GB" ], [ "34b-chat", "19 GB" ], [ "34b-chat-v1.5-fp16", "69 GB" ], [ "34b-chat-v1.5-q2_K", "13 GB" ], [ "34b-chat-v1.5-q3_K_L", "18 GB" ], [ "34b-chat-v1.5-q3_K_M", "17 GB" ], [ "34b-chat-v1.5-q3_K_S", "15 GB" ], [ "34b-chat-v1.5-q4_0", "19 GB" ], [ "34b-chat-v1.5-q4_1", "22 GB" ], [ "34b-chat-v1.5-q4_K_M", "21 GB" ], [ "34b-chat-v1.5-q4_K_S", "20 GB" ], [ "34b-chat-v1.5-q5_0", "24 GB" ], [ "34b-chat-v1.5-q5_1", "26 GB" ], [ "34b-chat-v1.5-q5_K_M", "24 GB" ], [ "34b-chat-v1.5-q5_K_S", "24 GB" ], [ "34b-chat-v1.5-q6_K", "28 GB" ], [ "34b-chat-q6_K", "28 GB" ], [ "34b-chat-q5_K_M", "24 GB" ], [ "34b-chat-q4_K_S", "20 GB" ], [ "34b-chat-q4_K_M", "21 GB" ], [ "34b-chat-q3_K_M", "17 GB" ], [ "34b-chat-q3_K_L", "18 GB" ], [ "34b-chat-v1.5-q8_0", "37 GB" ], [ "34b-chat-fp16", "69 GB" ], [ "34b-chat-q4_0", "19 GB" ], [ "34b-chat-q5_K_S", "24 GB" ], [ "34b-chat-q4_1", "22 GB" ], [ "34b-chat-q3_K_S", "15 GB" ], [ "34b-chat-q2_K", "15 GB" ], [ "34b-chat-q5_0", "24 GB" ], [ "34b-chat-q5_1", "26 GB" ], [ "34b-chat-q8_0", "37 GB" ], [ "34b-v1.5", "19 GB" ], [ "34b-v1.5-fp16", "69 GB" ], [ "34b-v1.5-q2_K", "13 GB" ], [ "34b-v1.5-q3_K_L", "18 GB" ], [ "34b-v1.5-q3_K_M", "17 GB" ], [ "34b-v1.5-q3_K_S", "15 GB" ], [ "34b-v1.5-q4_0", "19 GB" ], [ "34b-v1.5-q4_1", "22 GB" ], [ "34b-v1.5-q4_K_M", "21 GB" ], [ "34b-v1.5-q4_K_S", "20 GB" ], [ "34b-v1.5-q5_0", "24 GB" ], [ "34b-v1.5-q5_1", "26 GB" ], [ "34b-v1.5-q5_K_M", "24 GB" ], [ "34b-v1.5-q5_K_S", "24 GB" ], [ "34b-v1.5-q6_K", "28 GB" ], [ "34b-v1.5-q8_0", "37 GB" ], [ "9b-chat", "5.0 GB" ], [ "34b-q2_K", "15 GB" ], [ "34b-q3_K_L", "18 GB" ], [ "34b-q3_K_M", "17 GB" ], [ "34b-q3_K_S", "15 GB" ], [ "34b-q4_0", "19 GB" ], [ "34b-q4_1", "22 GB" ], [ "34b-q4_K_M", "21 GB" ], [ "34b-q4_K_S", "20 GB" ], [ "34b-q5_0", "24 GB" ], [ "34b-q5_1", "26 GB" ], [ "34b-q5_K_S", "24 GB" ], [ "34b-q6_K", "28 GB" ], [ "9b-chat-v1.5-fp16", "18 GB" ], [ "9b-chat-v1.5-q2_K", "3.4 GB" ], [ "9b-chat-v1.5-q3_K_L", "4.7 GB" ], [ "9b-chat-v1.5-q3_K_M", "4.3 GB" ], [ "9b-chat-v1.5-q3_K_S", "3.9 GB" ], [ "9b-chat-v1.5-q4_0", "5.0 GB" ], [ "9b-chat-v1.5-q4_1", "5.6 GB" ], [ "9b-chat-v1.5-q4_K_M", 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"6b-chat-v1.5-q3_K_M", "3.0 GB" ], [ "6b-chat-v1.5-fp16", "12 GB" ], [ "6b-chat-v1.5-q4_0", "3.5 GB" ], [ "6b-chat-v1.5-q5_1", "4.6 GB" ], [ "6b-chat-v1.5-q5_K_M", "4.3 GB" ], [ "6b-chat-v1.5-q5_K_S", "4.2 GB" ], [ "6b-chat-v1.5-q6_K", "5.0 GB" ], [ "6b-chat-v1.5-q8_0", "6.4 GB" ], [ "6b-v1.5", "3.5 GB" ], [ "6b-v1.5-fp16", "12 GB" ], [ "6b-v1.5-q2_K", "2.3 GB" ], [ "6b-v1.5-q3_K_L", "3.2 GB" ], [ "6b-v1.5-q3_K_M", "3.0 GB" ], [ "6b-v1.5-q3_K_S", "2.7 GB" ], [ "6b-v1.5-q4_0", "3.5 GB" ], [ "6b-v1.5-q4_1", "3.8 GB" ], [ "6b-v1.5-q4_K_M", "3.7 GB" ], [ "6b-v1.5-q4_K_S", "3.5 GB" ], [ "6b-v1.5-q5_0", "4.2 GB" ], [ "6b-v1.5-q5_1", "4.6 GB" ], [ "6b-v1.5-q5_K_M", "4.3 GB" ], [ "6b-v1.5-q5_K_S", "4.2 GB" ], [ "6b-v1.5-q6_K", "5.0 GB" ], [ "6b-v1.5-q8_0", "6.4 GB" ], [ "6b-fp16", "12 GB" ], [ "6b-q2_K", "2.6 GB" ], [ "6b-q3_K_L", "3.2 GB" ], [ "6b-q3_K_M", "3.0 GB" ], [ "6b-q3_K_S", "2.7 GB" ], [ "6b-q4_0", "3.5 GB" ], [ "6b-q4_1", "3.8 GB" ], [ "6b-q4_K_M", "3.7 GB" ], [ "6b-q4_K_S", "3.5 GB" ], [ "6b-q5_0", "4.2 GB" ], [ "6b-q5_1", "4.6 GB" ], [ "6b-q5_K_M", "4.3 GB" ], [ "6b-q5_K_S", "4.2 GB" ], [ "6b-q6_K", "5.0 GB" ], [ "6b-q8_0", "6.4 GB" ] ], "image": false, "author": "01.AI" }, "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.", "tags": [ [ "latest", "4.1 GB" ], [ "141b", "80 GB" ], [ "7b", "4.1 GB" ], [ "141b-v0.1", "80 GB" ], [ "141b-v0.1-fp16", "281 GB" ], [ "141b-v0.1-q2_K", "52 GB" ], [ "141b-v0.1-q4_0", "80 GB" ], [ "141b-v0.1-q8_0", "149 GB" ], [ "7b-alpha", "4.1 GB" ], [ "7b-alpha-fp16", "14 GB" ], [ "7b-alpha-q2_K", "3.1 GB" ], [ "7b-alpha-q3_K_L", "3.8 GB" ], [ "7b-alpha-q3_K_M", "3.5 GB" ], [ "7b-alpha-q3_K_S", "3.2 GB" ], [ "7b-alpha-q4_0", "4.1 GB" ], [ "7b-alpha-q4_1", "4.6 GB" ], [ "7b-alpha-q4_K_M", "4.4 GB" ], [ "7b-alpha-q4_K_S", "4.1 GB" ], [ "7b-alpha-q5_0", "5.0 GB" ], [ "7b-alpha-q5_1", "5.4 GB" ], [ "7b-alpha-q5_K_M", "5.1 GB" ], [ "7b-alpha-q5_K_S", "5.0 GB" ], [ "7b-alpha-q6_K", "5.9 GB" ], [ "7b-alpha-q8_0", "7.7 GB" ], [ "7b-beta", "4.1 GB" ], [ "7b-beta-fp16", "14 GB" ], [ "7b-beta-q2_K", "3.1 GB" ], [ "7b-beta-q3_K_L", "3.8 GB" ], [ "7b-beta-q3_K_M", "3.5 GB" ], [ "7b-beta-q3_K_S", "3.2 GB" ], [ "7b-beta-q4_0", "4.1 GB" ], [ "7b-beta-q4_1", "4.6 GB" ], [ "7b-beta-q4_K_M", "4.4 GB" ], [ "7b-beta-q4_K_S", "4.1 GB" ], [ "7b-beta-q5_0", "5.0 GB" ], [ "7b-beta-q5_1", "5.4 GB" ], [ "7b-beta-q5_K_M", "5.1 GB" ], [ "7b-beta-q5_K_S", "5.0 GB" ], [ "7b-beta-q6_K", "5.9 GB" ], [ "7b-beta-q8_0", "7.7 GB" ] ], "image": false, "author": "Hugging Face H4" }, "llama2-chinese": { "url": "https://ollama.com/library/llama2-chinese", "description": "Llama 2 based model fine tuned to improve Chinese dialogue ability.", "tags": [ [ "latest", "3.8 GB" ], [ "13b", "7.4 GB" ], [ "7b", "3.8 GB" ], [ "13b-chat", "7.4 GB" ], [ "13b-chat-fp16", "26 GB" ], [ "13b-chat-q2_K", "5.4 GB" ], [ 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"7.0 GB" ], [ "12b-q5_0", "8.4 GB" ], [ "12b-q5_1", "9.1 GB" ], [ "12b-q5_K_M", "8.6 GB" ], [ "12b-q5_K_S", "8.4 GB" ], [ "12b-q6_K", "10.0 GB" ], [ "12b-q8_0", "13 GB" ], [ "1.6b-chat-fp16", "3.3 GB" ], [ "1.6b-chat-q2_K", "694 MB" ], [ "1.6b-chat-q3_K_L", "915 MB" ], [ "1.6b-chat-q3_K_M", "858 MB" ], [ "1.6b-chat-q3_K_S", "792 MB" ], [ "1.6b-chat-q4_0", "983 MB" ], [ "1.6b-chat-q4_1", "1.1 GB" ], [ "1.6b-chat-q4_K_M", "1.0 GB" ], [ "1.6b-chat-q4_K_S", "989 MB" ], [ "1.6b-chat-q5_0", "1.2 GB" ], [ "1.6b-chat-q5_1", "1.3 GB" ], [ "1.6b-chat-q5_K_M", "1.2 GB" ], [ "1.6b-chat-q5_K_S", "1.2 GB" ], [ "1.6b-chat-q6_K", "1.4 GB" ], [ "1.6b-chat-q8_0", "1.8 GB" ], [ "1.6b-zephyr", "983 MB" ], [ "1.6b-zephyr-fp16", "3.3 GB" ], [ "1.6b-zephyr-q2_K", "694 MB" ], [ "1.6b-zephyr-q3_K_L", "915 MB" ], [ "1.6b-zephyr-q3_K_M", "858 MB" ], [ "1.6b-zephyr-q3_K_S", "792 MB" ], [ "1.6b-zephyr-q4_0", "983 MB" ], [ "1.6b-zephyr-q4_1", "1.1 GB" ], [ "1.6b-zephyr-q4_K_M", "1.0 GB" ], [ "1.6b-zephyr-q4_K_S", "989 MB" ], [ "1.6b-zephyr-q5_0", "1.2 GB" ], [ "1.6b-zephyr-q5_1", "1.3 GB" ], [ "1.6b-zephyr-q5_K_M", "1.2 GB" ], [ "1.6b-zephyr-q5_K_S", "1.2 GB" ], [ "1.6b-zephyr-q6_K", "1.4 GB" ], [ "1.6b-zephyr-q8_0", "1.8 GB" ], [ "1.6b-fp16", "3.3 GB" ], [ "1.6b-q2_K", "694 MB" ], [ "1.6b-q3_K_L", "915 MB" ], [ "1.6b-q3_K_M", "858 MB" ], [ "1.6b-q3_K_S", "792 MB" ], [ "1.6b-q4_0", "983 MB" ], [ "1.6b-q4_1", "1.1 GB" ], [ "1.6b-q4_K_M", "1.0 GB" ], [ "1.6b-q4_K_S", "989 MB" ], [ "1.6b-q5_0", "1.2 GB" ], [ "1.6b-q5_1", "1.3 GB" ], [ "1.6b-q5_K_M", "1.2 GB" ], [ "1.6b-q5_K_S", "1.2 GB" ], [ "1.6b-q6_K", "1.4 GB" ], [ "1.6b-q8_0", "1.8 GB" ] ], "image": false, "author": "Stability AI" }, "granite-code": { "url": "https://ollama.com/library/granite-code", "description": "A family of open foundation models by IBM for Code Intelligence", "tags": [ [ "latest", "2.0 GB" ], [ "34b", "19 GB" ], [ "20b", "12 GB" ], [ "8b", "4.6 GB" ], [ "3b", "2.0 GB" ], [ "34b-base-f16", "68 GB" ], [ "34b-base", "19 GB" ], [ "34b-base-q2_K", "13 GB" ], [ "34b-base-q3_K_L", "20 GB" ], [ "34b-base-q3_K_M", "18 GB" ], [ "34b-base-q3_K_S", "15 GB" ], [ "34b-base-q4_0", "19 GB" ], [ "34b-base-q4_1", "21 GB" ], [ "34b-base-q4_K_M", "21 GB" ], [ "34b-base-q4_K_S", "19 GB" ], [ "34b-base-q5_0", "23 GB" ], [ "34b-base-q5_1", "25 GB" ], [ "34b-base-q5_K_M", "25 GB" ], [ "34b-base-q5_K_S", "23 GB" ], [ "34b-base-q6_K", "28 GB" ], [ "34b-base-q8_0", "36 GB" ], [ "34b-instruct-f16", "68 GB" ], [ "34b-instruct", "19 GB" ], [ "34b-instruct-q2_K", "13 GB" ], [ "34b-instruct-q3_K_L", "20 GB" ], [ "34b-instruct-q3_K_M", "18 GB" ], [ "34b-instruct-q3_K_S", "15 GB" ], [ "34b-instruct-q4_0", "19 GB" ], [ "34b-instruct-q4_1", "21 GB" ], [ "34b-instruct-q4_K_M", "21 GB" ], [ "34b-instruct-q4_K_S", "19 GB" ], [ "34b-instruct-q5_0", "23 GB" ], [ "34b-instruct-q5_1", "25 GB" ], [ "34b-instruct-q5_K_M", "25 GB" ], [ "34b-instruct-q5_K_S", "23 GB" ], [ "34b-instruct-q6_K", "28 GB" ], [ "34b-instruct-q8_0", "36 GB" ], [ "20b-base-f16", "40 GB" ], [ "20b-base", "12 GB" ], [ "20b-base-fp16", "40 GB" ], [ "20b-base-q2_K", "7.9 GB" ], [ "20b-base-q3_K_L", "12 GB" ], [ "20b-base-q3_K_M", "11 GB" ], [ "20b-base-q3_K_S", "8.9 GB" ], [ "20b-base-q4_0", "12 GB" ], [ "20b-base-q4_1", "13 GB" ], [ "20b-base-q4_K_M", "13 GB" ], [ "20b-base-q4_K_S", "12 GB" ], [ "20b-base-q5_0", "14 GB" ], [ "20b-base-q5_1", "15 GB" ], [ "20b-base-q5_K_M", "15 GB" ], [ "20b-base-q5_K_S", "14 GB" ], [ "20b-base-q6_K", "17 GB" ], [ "20b-base-q8_0", "21 GB" ], [ "20b-instruct-f16", "40 GB" ], [ "20b-instruct", "12 GB" ], [ "20b-instruct-q2_K", "7.9 GB" ], [ "20b-instruct-q3_K_L", "12 GB" ], [ "20b-instruct-q3_K_M", "11 GB" ], [ "20b-instruct-q3_K_S", "8.9 GB" ], [ "20b-instruct-q4_0", "12 GB" ], [ "20b-instruct-q4_1", "13 GB" ], [ "20b-instruct-q4_K_M", "13 GB" ], [ "20b-instruct-q4_K_S", "12 GB" ], [ "20b-instruct-q5_0", "14 GB" ], [ "20b-instruct-q5_1", "15 GB" ], [ "20b-instruct-q5_K_M", "15 GB" ], [ "20b-instruct-q5_K_S", "14 GB" ], [ "20b-instruct-q6_K", "17 GB" ], [ "20b-instruct-q8_0", "21 GB" ], [ "8b-base-f16", "16 GB" ], [ "8b-base", "4.6 GB" ], [ "8b-base-fp16", "16 GB" ], [ "8b-base-q2_K", "3.1 GB" ], [ "8b-base-q3_K_L", "4.3 GB" ], [ "8b-base-q3_K_M", "3.9 GB" ], [ "8b-base-q3_K_S", "3.5 GB" ], [ "8b-base-q4_0", "4.6 GB" ], [ "8b-base-q4_1", "5.1 GB" ], [ "8b-base-q4_K_M", "4.9 GB" ], [ "8b-base-q4_K_S", "4.6 GB" ], [ "8b-base-q5_0", "5.6 GB" ], [ "8b-base-q5_1", "6.1 GB" ], [ "8b-base-q5_K_M", "5.7 GB" ], [ "8b-base-q5_K_S", "5.6 GB" ], [ "8b-base-q6_K", "6.6 GB" ], [ "8b-base-q8_0", "8.6 GB" ], [ "8b-instruct", "4.6 GB" ], [ "8b-instruct-f16", "16 GB" ], [ "8b-instruct-fp16", "16 GB" ], [ "8b-instruct-q2_K", "3.1 GB" ], [ "8b-instruct-q3_K_L", "4.3 GB" ], [ "8b-instruct-q3_K_M", "3.9 GB" ], [ "8b-instruct-q3_K_S", "3.5 GB" ], [ "8b-instruct-q4_0", "4.6 GB" ], [ "8b-instruct-q4_1", "5.1 GB" ], [ "8b-instruct-q4_K_M", "4.9 GB" ], [ "8b-instruct-q4_K_S", "4.6 GB" ], [ "8b-instruct-q5_0", "5.6 GB" ], [ 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"3b-instruct-q4_K_M", "2.1 GB" ], [ "3b-instruct-q4_K_S", "2.0 GB" ], [ "3b-instruct-q5_0", "2.4 GB" ], [ "3b-instruct-q5_1", "2.6 GB" ], [ "3b-instruct-q5_K_M", "2.5 GB" ], [ "3b-instruct-q5_K_S", "2.4 GB" ], [ "3b-instruct-q6_K", "2.9 GB" ], [ "3b-instruct-q8_0", "3.7 GB" ] ], "image": false, "author": "IBM for Code Intelligence" }, "all-minilm": { "url": "https://ollama.com/library/all-minilm", "description": "Embedding models on very large sentence level datasets.", "tags": [ [ "latest", "46 MB" ], [ "33m", "67 MB" ], [ "22m", "46 MB" ], [ "l12", "67 MB" ], [ "l6", "46 MB" ], [ "v2", "46 MB" ], [ "33m-l12-v2-fp16", "67 MB" ], [ "22m-l6-v2-fp16", "46 MB" ], [ "l12-v2", "67 MB" ], [ "l6-v2", "46 MB" ] ], "image": false, "author": "Sentence Transformers" }, "phind-codellama": { "url": "https://ollama.com/library/phind-codellama", "description": "Code generation model based on Code Llama.", "tags": [ [ "latest", "19 GB" ], [ "34b", "19 GB" ], [ "34b-python", "19 GB" ], [ 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"34b-q3_K_L", "18 GB" ], [ "34b-q3_K_M", "16 GB" ], [ "34b-q3_K_S", "15 GB" ], [ "34b-q4_0", "19 GB" ], [ "34b-q4_1", "21 GB" ], [ "34b-q4_K_M", "20 GB" ], [ "34b-q4_K_S", "19 GB" ], [ "34b-q5_0", "23 GB" ], [ "34b-q5_1", "25 GB" ], [ "34b-q5_K_M", "24 GB" ], [ "34b-q5_K_S", "23 GB" ], [ "34b-q6_K", "28 GB" ], [ "34b-q8_0", "36 GB" ] ], "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.", "tags": [ [ "latest", "4.2 GB" ], [ "15b", "9.1 GB" ], [ "7b", "4.2 GB" ], [ "15b-starcoder2", "9.1 GB" ], [ "15b-starcoder2-fp16", "32 GB" ], [ "15b-starcoder2-q2_K", "6.2 GB" ], [ "15b-starcoder2-q3_K_L", "9.0 GB" ], [ "15b-starcoder2-q3_K_M", "8.1 GB" ], [ "15b-starcoder2-q3_K_S", "7.0 GB" ], [ "15b-starcoder2-q4_0", "9.1 GB" ], [ "15b-starcoder2-q4_1", "10 GB" ], [ "15b-starcoder2-q4_K_M", "9.9 GB" ], [ "15b-starcoder2-q4_K_S", "9.3 GB" ], [ "15b-starcoder2-q5_0", "11 GB" ], [ "15b-starcoder2-q5_1", "12 GB" ], [ "15b-starcoder2-q5_K_M", "11 GB" ], [ "15b-starcoder2-q5_K_S", "11 GB" ], [ "15b-starcoder2-q6_K", "13 GB" ], [ "15b-starcoder2-q8_0", "17 GB" ], [ "7b-starcoder2", "4.2 GB" ], [ "7b-starcoder2-fp16", "15 GB" ], [ "7b-starcoder2-q2_K", "2.9 GB" ], [ "7b-starcoder2-q3_K_L", "4.2 GB" ], [ "7b-starcoder2-q3_K_M", "3.8 GB" ], [ "7b-starcoder2-q3_K_S", "3.3 GB" ], [ "7b-starcoder2-q4_0", "4.2 GB" ], [ "7b-starcoder2-q4_1", "4.7 GB" ], [ "7b-starcoder2-q4_K_M", "4.6 GB" ], [ "7b-starcoder2-q4_K_S", "4.3 GB" ], [ "7b-starcoder2-q5_0", "5.1 GB" ], [ "7b-starcoder2-q5_1", "5.6 GB" ], [ "7b-starcoder2-q5_K_M", "5.3 GB" ], [ "7b-starcoder2-q5_K_S", "5.1 GB" ], [ "7b-starcoder2-q6_K", "6.1 GB" ], [ "7b-starcoder2-q8_0", "7.9 GB" ] ], "image": false, "author": "Cognitive Computations" }, "nous-hermes": { "url": "https://ollama.com/library/nous-hermes", "description": "General use models based on Llama and Llama 2 from Nous Research.", "tags": [ [ "latest", "3.8 GB" ], [ "13b", "7.4 GB" ], [ "7b", "3.8 GB" ], [ "70b-llama2-fp16", "138 GB" ], [ "70b-llama2-q2_K", "29 GB" ], [ "70b-llama2-q3_K_L", "36 GB" ], [ "70b-llama2-q3_K_M", "33 GB" ], [ "70b-llama2-q3_K_S", "30 GB" ], [ "70b-llama2-q4_0", "39 GB" ], [ "70b-llama2-q4_1", "43 GB" ], [ "70b-llama2-q4_K_M", "41 GB" ], [ "70b-llama2-q4_K_S", "39 GB" ], [ "70b-llama2-q5_0", "47 GB" ], [ "70b-llama2-q5_1", "52 GB" ], [ "70b-llama2-q5_K_M", "49 GB" ], [ "70b-llama2-q6_K", "57 GB" ], [ "13b-llama2", "7.4 GB" ], [ "13b-llama2-fp16", "26 GB" ], [ "13b-llama2-q2_K", "5.4 GB" ], [ "13b-llama2-q3_K_L", "6.9 GB" ], [ "13b-llama2-q3_K_M", "6.3 GB" ], [ "13b-llama2-q3_K_S", "5.7 GB" ], [ "13b-llama2-q4_0", "7.4 GB" ], [ "13b-llama2-q4_1", "8.2 GB" ], [ "13b-llama2-q4_K_M", "7.9 GB" ], [ "13b-llama2-q4_K_S", "7.4 GB" ], [ "13b-llama2-q5_0", "9.0 GB" ], [ "13b-llama2-q5_1", "9.8 GB" ], [ "13b-llama2-q5_K_M", "9.2 GB" ], [ 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"7b-llama2-q8_0", "7.2 GB" ] ], "image": false, "author": "Nous Research" }, "sqlcoder": { "url": "https://ollama.com/library/sqlcoder", "description": "SQLCoder is a code completion model fined-tuned on StarCoder for SQL generation tasks", "tags": [ [ "latest", "4.1 GB" ], [ "15b", "9.0 GB" ], [ "7b", "4.1 GB" ], [ "70b-alpha-fp16", "138 GB" ], [ "70b-alpha-q2_K", "25 GB" ], [ "70b-alpha-q3_K_L", "36 GB" ], [ "70b-alpha-q3_K_M", "33 GB" ], [ "70b-alpha-q3_K_S", "30 GB" ], [ "70b-alpha-q4_0", "39 GB" ], [ "70b-alpha-q4_1", "43 GB" ], [ "70b-alpha-q4_K_M", "41 GB" ], [ "70b-alpha-q4_K_S", "39 GB" ], [ "70b-alpha-q5_0", "47 GB" ], [ "70b-alpha-q5_1", "52 GB" ], [ "70b-alpha-q5_K_M", "49 GB" ], [ "70b-alpha-q5_K_S", "47 GB" ], [ "70b-alpha-q6_K", "57 GB" ], [ "70b-alpha-q8_0", "73 GB" ], [ "15b-fp16", "32 GB" ], [ "15b-q2_K", "6.7 GB" ], [ "15b-q3_K_L", "9.1 GB" ], [ "15b-q3_K_M", "8.2 GB" ], [ "15b-q3_K_S", "6.9 GB" ], [ "15b-q4_0", "9.0 GB" ], [ "15b-q4_1", "10.0 GB" ], [ "15b-q4_K_M", "10.0 GB" ], [ "15b-q4_K_S", "9.1 GB" ], [ "15b-q5_0", "11 GB" ], [ "15b-q5_1", "12 GB" ], [ "15b-q5_K_M", "12 GB" ], [ "15b-q5_K_S", "11 GB" ], [ "15b-q6_K", "13 GB" ], [ "15b-q8_0", "17 GB" ], [ "7b-fp16", "14 GB" ], [ "7b-q2_K", "3.1 GB" ], [ "7b-q3_K_L", "3.8 GB" ], [ "7b-q3_K_M", "3.5 GB" ], [ "7b-q3_K_S", "3.2 GB" ], [ "7b-q4_0", "4.1 GB" ], [ "7b-q4_1", "4.6 GB" ], [ "7b-q4_K_M", "4.4 GB" ], [ "7b-q4_K_S", "4.1 GB" ], [ "7b-q5_0", "5.0 GB" ], [ "7b-q5_1", "5.4 GB" ], [ "7b-q5_K_M", "5.1 GB" ], [ "7b-q5_K_S", "5.0 GB" ], [ "7b-q6_K", "5.9 GB" ], [ "7b-q8_0", "7.7 GB" ] ], "image": false, "author": "Defog.ai" }, "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.", "tags": [ [ "latest", "4.7 GB" ], [ "70b", "40 GB" ], [ "8b", "4.7 GB" ], [ "1048k", "4.7 GB" ], [ "instruct", "4.7 GB" ], [ "70b-instruct-1048k-fp16", "141 GB" ], [ "70b-instruct-1048k-q2_K", "26 GB" ], [ 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"8b-instruct-1048k-q5_K_M", "5.7 GB" ], [ "8b-instruct-1048k-q5_K_S", "5.6 GB" ], [ "8b-instruct-1048k-q6_K", "6.6 GB" ], [ "8b-instruct-1048k-q8_0", "8.5 GB" ] ], "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", "4.1 GB" ], [ "7b", "4.1 GB" ], [ "alpha", "4.1 GB" ], [ "beta", "4.1 GB" ], [ "7b-alpha", "4.1 GB" ], [ "7b-alpha-fp16", "14 GB" ], [ "7b-alpha-q2_K", "2.7 GB" ], [ "7b-alpha-q3_K_L", "3.8 GB" ], [ "7b-alpha-q3_K_M", "3.5 GB" ], [ "7b-alpha-q3_K_S", "3.2 GB" ], [ "7b-alpha-q4_0", "4.1 GB" ], [ "7b-alpha-q4_1", "4.6 GB" ], [ "7b-alpha-q4_K_M", "4.4 GB" ], [ "7b-alpha-q4_K_S", "4.1 GB" ], [ "7b-alpha-q5_0", "5.0 GB" ], [ "7b-alpha-q5_1", "5.4 GB" ], [ "7b-alpha-q5_K_M", "5.1 GB" ], [ "7b-alpha-q5_K_S", "5.0 GB" ], [ "7b-alpha-q6_K", "5.9 GB" ], [ "7b-alpha-q8_0", "7.7 GB" ], [ "7b-beta", "4.1 GB" ], [ "7b-beta-fp16", "14 GB" ], [ "7b-beta-q2_K", "2.7 GB" ], [ "7b-beta-q3_K_L", "3.8 GB" ], [ "7b-beta-q3_K_M", "3.5 GB" ], [ "7b-beta-q3_K_S", "3.2 GB" ], [ "7b-beta-q4_0", "4.1 GB" ], [ "7b-beta-q4_1", "4.6 GB" ], [ "7b-beta-q4_K_M", "4.4 GB" ], [ "7b-beta-q4_K_S", "4.1 GB" ], [ "7b-beta-q5_0", "5.0 GB" ], [ "7b-beta-q5_1", "5.4 GB" ], [ "7b-beta-q5_K_M", "5.1 GB" ], [ "7b-beta-q5_K_S", "5.0 GB" ], [ "7b-beta-q6_K", "5.9 GB" ], [ "7b-beta-q8_0", "7.7 GB" ] ], "image": false, "author": "Berkeley Nest" }, "yarn-llama2": { "url": "https://ollama.com/library/yarn-llama2", "description": "An extension of Llama 2 that supports a context of up to 128k tokens.", "tags": [ [ "latest", "3.8 GB" ], [ "13b", "7.4 GB" ], [ "7b", "3.8 GB" ], [ "13b-128k", "7.4 GB" ], [ "13b-128k-fp16", "26 GB" ], [ "13b-128k-q2_K", "5.4 GB" ], [ "13b-128k-q3_K_L", "6.9 GB" ], [ "13b-128k-q3_K_M", "6.3 GB" ], [ "13b-128k-q3_K_S", "5.7 GB" ], [ "13b-128k-q4_0", "7.4 GB" ], [ "13b-128k-q4_1", "8.2 GB" ], [ "13b-128k-q4_K_M", "7.9 GB" ], [ "13b-128k-q4_K_S", "7.4 GB" ], [ "13b-128k-q5_0", "9.0 GB" ], [ "13b-128k-q5_1", "9.8 GB" ], [ "13b-128k-q5_K_M", "9.2 GB" ], [ "13b-128k-q5_K_S", "9.0 GB" ], [ "13b-128k-q6_K", "11 GB" ], [ "13b-128k-q8_0", "14 GB" ], [ "13b-64k", "7.4 GB" ], [ "13b-64k-fp16", "26 GB" ], [ "13b-64k-q2_K", "5.4 GB" ], [ "13b-64k-q3_K_L", "6.9 GB" ], [ "13b-64k-q3_K_M", "6.3 GB" ], [ "13b-64k-q3_K_S", "5.7 GB" ], [ "13b-64k-q4_0", "7.4 GB" ], [ "13b-64k-q4_1", "8.2 GB" ], [ "13b-64k-q4_K_M", "7.9 GB" ], [ "13b-64k-q4_K_S", "7.4 GB" ], [ "13b-64k-q5_0", "9.0 GB" ], [ "13b-64k-q5_1", "9.8 GB" ], [ "13b-64k-q5_K_M", "9.2 GB" ], [ "13b-64k-q5_K_S", "9.0 GB" ], [ "13b-64k-q6_K", "11 GB" ], [ "13b-64k-q8_0", "14 GB" ], [ "7b-128k", "3.8 GB" ], [ "7b-128k-fp16", "13 GB" ], [ "7b-128k-q2_K", "2.8 GB" ], [ "7b-128k-q3_K_L", "3.6 GB" ], [ "7b-128k-q3_K_M", "3.3 GB" ], [ "7b-128k-q3_K_S", "2.9 GB" ], [ "7b-128k-q4_0", "3.8 GB" ], [ 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"13b-v0.2", "7.4 GB" ], [ "13b-v0.2-fp16", "26 GB" ], [ "13b-v0.2-q2_K", "5.4 GB" ], [ "13b-v0.2-q3_K_L", "6.9 GB" ], [ "13b-v0.2-q3_K_M", "6.3 GB" ], [ "13b-v0.2-q3_K_S", "5.7 GB" ], [ "13b-v0.2-q4_0", "7.4 GB" ], [ "13b-v0.2-q4_1", "8.2 GB" ], [ "13b-v0.2-q4_K_M", "7.9 GB" ], [ "13b-v0.2-q4_K_S", "7.4 GB" ], [ "13b-v0.2-q5_0", "9.0 GB" ], [ "13b-v0.2-q5_1", "9.8 GB" ], [ "13b-v0.2-q5_K_M", "9.2 GB" ], [ "13b-v0.2-q5_K_S", "9.0 GB" ], [ "13b-v0.2-q6_K", "11 GB" ], [ "13b-v0.2-q8_0", "14 GB" ], [ "7b-v0.1", "3.8 GB" ], [ "7b-v0.1-fp16", "13 GB" ], [ "7b-v0.1-q2_K", "2.8 GB" ], [ "7b-v0.1-q3_K_L", "3.6 GB" ], [ "7b-v0.1-q3_K_M", "3.3 GB" ], [ "7b-v0.1-q3_K_S", "2.9 GB" ], [ "7b-v0.1-q4_0", "3.8 GB" ], [ "7b-v0.1-q4_1", "4.2 GB" ], [ "7b-v0.1-q4_K_M", "4.1 GB" ], [ "7b-v0.1-q4_K_S", "3.9 GB" ], [ "7b-v0.1-q5_0", "4.7 GB" ], [ "7b-v0.1-q5_1", "5.1 GB" ], [ "7b-v0.1-q5_K_M", "4.8 GB" ], [ "7b-v0.1-q5_K_S", "4.7 GB" ], [ "7b-v0.1-q6_K", "5.5 GB" ], [ "7b-v0.1-q8_0", "7.2 GB" ], [ "7b-v0.2", "3.8 GB" ], [ "7b-v0.2-fp16", "13 GB" ], [ "7b-v0.2-q2_K", "2.8 GB" ], [ "7b-v0.2-q3_K_L", "3.6 GB" ], [ "7b-v0.2-q3_K_S", "2.9 GB" ], [ "7b-v0.2-q4_0", "3.8 GB" ], [ "7b-v0.2-q4_1", "4.2 GB" ], [ "7b-v0.2-q4_K_M", "4.1 GB" ], [ "7b-v0.2-q4_K_S", "3.9 GB" ], [ "7b-v0.2-q5_0", "4.7 GB" ], [ "7b-v0.2-q5_K_M", "4.8 GB" ], [ "7b-v0.2-q5_K_S", "4.7 GB" ], [ "7b-v0.2-q6_K", "5.5 GB" ], [ "7b-v0.2-q8_0", "7.2 GB" ] ], "image": false, "author": "Xwin LM" }, "deepseek-llm": { "url": "https://ollama.com/library/deepseek-llm", "description": "An advanced language model crafted with 2 trillion bilingual tokens.", "tags": [ [ "latest", "4.0 GB" ], [ "67b", "38 GB" ], [ "7b", "4.0 GB" ], [ "67b-base", "38 GB" ], [ "67b-base-fp16", "135 GB" ], [ "67b-base-q2_K", "28 GB" ], [ "67b-base-q3_K_L", "36 GB" ], [ "67b-base-q3_K_M", "33 GB" ], [ "67b-base-q3_K_S", "29 GB" ], [ "67b-base-q4_0", "38 GB" ], [ "67b-base-q4_1", "42 GB" ], [ "67b-base-q4_K_M", "40 GB" ], [ "67b-base-q4_K_S", "38 GB" ], [ "67b-base-q5_0", "46 GB" ], [ "67b-base-q5_1", "51 GB" ], [ "67b-base-q5_K_M", "48 GB" ], [ "67b-base-q5_K_S", "46 GB" ], [ "67b-base-q6_K", "55 GB" ], [ "67b-base-q8_0", "72 GB" ], [ "67b-chat", "38 GB" ], [ "67b-chat-fp16", "135 GB" ], [ "67b-chat-q2_K", "28 GB" ], [ "67b-chat-q3_K_L", "36 GB" ], [ "67b-chat-q3_K_M", "33 GB" ], [ "67b-chat-q3_K_S", "29 GB" ], [ "67b-chat-q4_0", "38 GB" ], [ "67b-chat-q4_1", "42 GB" ], [ "67b-chat-q4_K_M", "40 GB" ], [ "67b-chat-q4_K_S", "38 GB" ], [ "67b-chat-q5_0", "46 GB" ], [ "67b-chat-q5_1", "51 GB" ], [ "67b-chat-q5_K_S", "46 GB" ], [ "7b-base", "4.0 GB" ], [ "7b-base-fp16", "14 GB" ], [ "7b-base-q2_K", "3.0 GB" ], [ "7b-base-q3_K_L", "3.7 GB" ], [ "7b-base-q3_K_M", "3.5 GB" ], [ "7b-base-q3_K_S", "3.1 GB" ], [ "7b-base-q4_0", "4.0 GB" ], [ "7b-base-q4_1", "4.4 GB" ], [ "7b-base-q4_K_M", "4.2 GB" ], [ "7b-base-q4_K_S", "4.0 GB" ], [ "7b-base-q5_0", "4.8 GB" ], [ "7b-base-q5_1", "5.2 GB" ], [ "7b-base-q5_K_M", "4.9 GB" ], [ "7b-base-q5_K_S", "4.8 GB" ], [ "7b-base-q6_K", "5.7 GB" ], [ "7b-base-q8_0", "7.3 GB" ], [ "7b-chat", "4.0 GB" ], [ "7b-chat-fp16", "14 GB" ], [ "7b-chat-q2_K", "3.0 GB" ], [ "7b-chat-q3_K_L", "3.7 GB" ], [ "7b-chat-q3_K_M", "3.5 GB" ], [ "7b-chat-q3_K_S", "3.1 GB" ], [ "7b-chat-q4_0", "4.0 GB" ], [ "7b-chat-q4_1", "4.4 GB" ], [ "7b-chat-q4_K_M", "4.2 GB" ], [ "7b-chat-q4_K_S", "4.0 GB" ], [ "7b-chat-q5_0", "4.8 GB" ], [ "7b-chat-q5_1", "5.2 GB" ], [ "7b-chat-q5_K_M", "4.9 GB" ], [ "7b-chat-q5_K_S", "4.8 GB" ], [ "7b-chat-q6_K", "5.7 GB" ], [ "7b-chat-q8_0", "7.3 GB" ] ], "image": false, "author": "DeepSeek Team" }, "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", "4.7 GB" ], [ "70b", "40 GB" ], [ "8b", "4.7 GB" ], [ "70b-v1.5", "40 GB" ], [ "70b-v1.5-fp16", "141 GB" ], [ "70b-v1.5-q2_K", "26 GB" ], [ 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"8b-instruct-q4_0", "4.7 GB" ], [ "8b-instruct-q4_1", "5.3 GB" ], [ "8b-instruct-q4_K_M", "5.1 GB" ], [ "8b-instruct-q4_K_S", "4.8 GB" ], [ "8b-instruct-q5_0", "5.8 GB" ], [ "8b-instruct-q5_1", "6.3 GB" ], [ "8b-instruct-q5_K_M", "5.9 GB" ], [ "8b-instruct-q5_K_S", "5.8 GB" ], [ "8b-instruct-q6_K", "6.9 GB" ], [ "8b-instruct-q8_0", "8.9 GB" ], [ "8b-text-fp16", "17 GB" ], [ "8b-text-q2_K", "3.5 GB" ], [ "8b-text-q3_K_L", "4.5 GB" ], [ "8b-text-q3_K_M", "4.1 GB" ], [ "8b-text-q3_K_S", "3.6 GB" ], [ "8b-text-q4_0", "4.7 GB" ], [ "8b-text-q4_1", "5.3 GB" ], [ "8b-text-q4_K_M", "5.1 GB" ], [ "8b-text-q4_K_S", "4.8 GB" ], [ "8b-text-q5_0", "5.8 GB" ], [ "8b-text-q5_1", "6.3 GB" ], [ "8b-text-q5_K_M", "5.9 GB" ], [ "8b-text-q5_K_S", "5.8 GB" ], [ "8b-text-q6_K", "6.9 GB" ], [ "8b-text-q8_0", "8.9 GB" ] ], "image": false, "author": "Tencent" }, "nous-hermes2-mixtral": { "url": "https://ollama.com/library/nous-hermes2-mixtral", "description": "The Nous Hermes 2 model from Nous Research, now 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"7b-q3_K_L", "3.6 GB" ], [ "7b-q3_K_M", "3.3 GB" ], [ "7b-q3_K_S", "2.9 GB" ], [ "7b-q4_0", "3.8 GB" ], [ "7b-q4_1", "4.2 GB" ], [ "7b-q4_K_M", "4.1 GB" ], [ "7b-q4_K_S", "3.9 GB" ], [ "7b-q5_0", "4.7 GB" ], [ "7b-q5_1", "5.1 GB" ], [ "7b-q5_K_M", "4.8 GB" ], [ "7b-q5_K_S", "4.7 GB" ], [ "7b-q6_K", "5.5 GB" ], [ "7b-q8_0", "7.2 GB" ] ], "image": false, "author": "EPFL LLM Team" }, "codeup": { "url": "https://ollama.com/library/codeup", "description": "Great code generation model based on Llama2.", "tags": [ [ "latest", "7.4 GB" ], [ "13b", "7.4 GB" ], [ "13b-llama2-chat", "7.4 GB" ], [ "13b-llama2", "7.4 GB" ], [ "13b-llama2-chat-fp16", "26 GB" ], [ "13b-llama2-chat-q2_K", "5.4 GB" ], [ "13b-llama2-chat-q3_K_L", "6.9 GB" ], [ "13b-llama2-chat-q3_K_M", "6.3 GB" ], [ "13b-llama2-chat-q3_K_S", "5.7 GB" ], [ "13b-llama2-chat-q4_0", "7.4 GB" ], [ "13b-llama2-chat-q4_1", "8.2 GB" ], [ "13b-llama2-chat-q4_K_M", "7.9 GB" ], [ "13b-llama2-chat-q4_K_S", "7.4 GB" ], [ "13b-llama2-chat-q5_0", "9.0 GB" ], [ "13b-llama2-chat-q5_1", "9.8 GB" ], [ "13b-llama2-chat-q5_K_M", "9.2 GB" ], [ "13b-llama2-chat-q5_K_S", "9.0 GB" ], [ "13b-llama2-chat-q6_K", "11 GB" ], [ "13b-llama2-chat-q8_0", "14 GB" ] ], "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", "7.4 GB" ], [ "13b", "7.4 GB" ], [ "13b-v2-fp16", "26 GB" ], [ "13b-v2-q2_K", "5.4 GB" ], [ "13b-v2-q3_K_L", "6.9 GB" ], [ "13b-v2-q3_K_M", "6.3 GB" ], [ "13b-v2-q3_K_S", "5.7 GB" ], [ "13b-v2-q4_0", "7.4 GB" ], [ "13b-v2-q4_1", "8.2 GB" ], [ "13b-v2-q4_K_M", "7.9 GB" ], [ "13b-v2-q4_K_S", "7.4 GB" ], [ "13b-v2-q5_0", "9.0 GB" ], [ "13b-v2-q5_1", "9.8 GB" ], [ "13b-v2-q5_K_M", "9.2 GB" ], [ "13b-v2-q5_K_S", "9.0 GB" ], [ "13b-v2-q6_K", "11 GB" ], [ "13b-v2-q8_0", "14 GB" ], [ "13b-fp16", "26 GB" ], [ "13b-q2_K", "5.4 GB" ], [ "13b-q3_K_L", "6.9 GB" ], [ "13b-q3_K_M", "6.3 GB" ], [ "13b-q3_K_S", "5.7 GB" ], [ "13b-q4_0", "7.4 GB" ], [ "13b-q4_1", "8.2 GB" ], [ "13b-q4_K_M", "7.9 GB" ], [ "13b-q4_K_S", "7.4 GB" ], [ "13b-q5_0", "9.0 GB" ], [ "13b-q5_1", "9.8 GB" ], [ "13b-q5_K_M", "9.2 GB" ], [ "13b-q5_K_S", "9.0 GB" ], [ "13b-q6_K", "11 GB" ], [ "13b-q8_0", "14 GB" ] ], "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", "7.4 GB" ], [ "13b", "7.4 GB" ], [ "13b-16k", "7.4 GB" ], [ "13b-16k-fp16", "26 GB" ], [ "13b-16k-q2_K", "5.4 GB" ], [ "13b-16k-q3_K_L", "6.9 GB" ], [ "13b-16k-q3_K_M", "6.3 GB" ], [ "13b-16k-q3_K_S", "5.7 GB" ], [ "13b-16k-q4_0", "7.4 GB" ], [ "13b-16k-q4_1", "8.2 GB" ], [ "13b-16k-q4_K_M", "7.9 GB" ], [ "13b-16k-q4_K_S", "7.4 GB" ], [ "13b-16k-q5_0", "9.0 GB" ], [ "13b-16k-q5_1", "9.8 GB" ], [ "13b-16k-q5_K_M", "9.2 GB" ], [ "13b-16k-q5_K_S", "9.0 GB" ], [ "13b-16k-q6_K", "11 GB" ], [ "13b-16k-q8_0", "14 GB" ] ], "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", "2.9 GB" ], [ "3.8b", "2.9 GB" ], [ "3.8b-mini-fp16", "8.3 GB" ], [ "3.8b-mini-q4_0", "2.9 GB" ] ], "image": false, "author": "Xtuner" }, "codegeex4": { "url": "https://ollama.com/library/codegeex4", "description": "A versatile model for AI software development scenarios, including code completion.", "tags": [ [ "latest", "5.5 GB" ], [ "9b", "5.5 GB" ], [ "9b-all-fp16", "19 GB" ], [ "9b-all-q2_K", "4.0 GB" ], [ "9b-all-q3_K_L", "5.3 GB" ], [ "9b-all-q3_K_M", "5.1 GB" ], [ "9b-all-q3_K_S", "4.6 GB" ], [ "9b-all-q4_0", "5.5 GB" ], [ "9b-all-q4_1", "6.0 GB" ], [ "9b-all-q4_K_M", "6.3 GB" ], [ "9b-all-q4_K_S", "5.8 GB" ], [ "9b-all-q5_0", "6.6 GB" ], [ "9b-all-q5_1", "7.1 GB" ], [ "9b-all-q5_K_M", "7.1 GB" ], [ "9b-all-q5_K_S", "6.7 GB" ], [ "9b-all-q6_K", "8.3 GB" ], [ "9b-all-q8_0", "10.0 GB" ] ], "image": false, "author": "THUDM" }, "glm4": { "url": "https://ollama.com/library/glm4", "description": "A strong multi-lingual general language model with competitive performance to Llama 3.", "tags": [ [ "latest", "5.5 GB" ], [ "9b", "5.5 GB" ], [ "9b-chat-fp16", "19 GB" ], [ "9b-chat-q2_K", "4.0 GB" ], [ "9b-chat-q3_K_L", "5.3 GB" ], [ "9b-chat-q3_K_M", "5.1 GB" ], [ "9b-chat-q3_K_S", "4.6 GB" ], [ "9b-chat-q4_0", "5.5 GB" ], [ "9b-chat-q4_1", "6.0 GB" ], [ "9b-chat-q4_K_M", "6.3 GB" ], [ "9b-chat-q4_K_S", "5.8 GB" ], [ "9b-chat-q5_0", "6.6 GB" ], [ "9b-chat-q5_1", "7.1 GB" ], [ "9b-chat-q5_K_M", "7.1 GB" ], [ "9b-chat-q5_K_S", "6.7 GB" ], [ "9b-chat-q6_K", "8.3 GB" ], [ "9b-chat-q8_0", "10.0 GB" ], [ "9b-text-fp16", "19 GB" ], [ "9b-text-q2_K", "4.0 GB" ], [ "9b-text-q3_K_L", "5.3 GB" ], [ "9b-text-q3_K_M", "5.1 GB" ], [ "9b-text-q3_K_S", "4.6 GB" ], [ "9b-text-q4_0", "5.5 GB" ], [ "9b-text-q4_1", "6.0 GB" ], [ "9b-text-q4_K_M", "6.3 GB" ], [ "9b-text-q4_K_S", "5.8 GB" ], [ "9b-text-q5_0", "6.6 GB" ], [ "9b-text-q5_1", "7.1 GB" ], [ "9b-text-q5_K_M", "7.1 GB" ], [ "9b-text-q5_K_S", "6.7 GB" ], [ "9b-text-q6_K", "8.3 GB" ], [ "9b-text-q8_0", "10.0 GB" ] ], "image": false, "author": "THUDM" }, "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", "3.8 GB" ], [ "7b", "3.8 GB" ], [ "7b-s-cl", "3.8 GB" ], [ "7b-s-cl-fp16", "13 GB" ], [ "7b-s-cl-q2_K", "2.8 GB" ], [ "7b-s-cl-q3_K_L", "3.6 GB" ], [ "7b-s-cl-q3_K_M", "3.3 GB" ], [ "7b-s-cl-q3_K_S", "2.9 GB" ], [ "7b-s-cl-q4_0", "3.8 GB" ], [ "7b-s-cl-q4_1", "4.2 GB" ], [ "7b-s-cl-q4_K_M", "4.1 GB" ], [ "7b-s-cl-q4_K_S", "3.9 GB" ], [ "7b-s-cl-q5_0", "4.7 GB" ], [ "7b-s-cl-q5_1", "5.1 GB" ], [ "7b-s-cl-q5_K_M", 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"latest", "19 GB" ], [ "34b", "19 GB" ], [ "34b-v0.1-fp16", "67 GB" ], [ "34b-v0.1-q2_K", "14 GB" ], [ "34b-v0.1-q3_K_L", "18 GB" ], [ "34b-v0.1-q3_K_M", "16 GB" ], [ "34b-v0.1-q3_K_S", "15 GB" ], [ "34b-v0.1-q4_0", "19 GB" ], [ "34b-v0.1-q4_1", "21 GB" ], [ "34b-v0.1-q4_K_M", "20 GB" ], [ "34b-v0.1-q5_0", "23 GB" ], [ "34b-v0.1-q5_1", "25 GB" ], [ "34b-v0.1-q5_K_M", "24 GB" ], [ "34b-v0.1-q5_K_S", "23 GB" ], [ "34b-v0.1-q6_K", "28 GB" ], [ "34b-v0.1-q8_0", "36 GB" ] ], "image": false, "author": "Oobabooga" }, "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", "4.1 GB" ], [ "7b", "4.1 GB" ], [ "7b-v0.1-fp16", "14 GB" ], [ "7b-v0.1-q2_K", "3.1 GB" ], [ "7b-v0.1-q3_K_L", "3.8 GB" ], [ "7b-v0.1-q3_K_M", "3.5 GB" ], [ "7b-v0.1-q3_K_S", "3.2 GB" ], [ "7b-v0.1-q4_0", "4.1 GB" ], [ "7b-v0.1-q4_1", "4.6 GB" ], [ "7b-v0.1-q4_K_M", "4.4 GB" ], [ "7b-v0.1-q4_K_S", "4.1 GB" ], [ "7b-v0.1-q5_0", "5.0 GB" ], [ "7b-v0.1-q5_1", "5.4 GB" ], [ "7b-v0.1-q5_K_M", "5.1 GB" ], [ "7b-v0.1-q5_K_S", "5.0 GB" ], [ "7b-v0.1-q6_K", "5.9 GB" ], [ "7b-v0.1-q8_0", "7.7 GB" ] ], "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.", "tags": [ [ "latest", "7.4 GB" ], [ "13b", "7.4 GB" ], [ "13b-fp16", "26 GB" ], [ "13b-q2_K", "5.4 GB" ], [ "13b-q3_K_L", "6.9 GB" ], [ "13b-q3_K_M", "6.3 GB" ], [ "13b-q3_K_S", "5.7 GB" ], [ "13b-q4_0", "7.4 GB" ], [ "13b-q4_1", "8.2 GB" ], [ "13b-q4_K_M", "7.9 GB" ], [ "13b-q4_K_S", "7.4 GB" ], [ "13b-q5_0", "9.0 GB" ], [ "13b-q5_1", "9.8 GB" ], [ "13b-q5_K_M", "9.2 GB" ], [ "13b-q5_K_S", "9.0 GB" ], [ "13b-q6_K", "11 GB" ], [ "13b-q8_0", "14 GB" ] ], "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", "3.8 GB" ], [ "7b", "3.8 GB" ], [ "7b-fp16", "13 GB" ], [ "7b-q2_K", "2.5 GB" ], [ "7b-q3_K_L", "3.6 GB" ], [ "7b-q3_K_M", "3.3 GB" ], [ "7b-q3_K_S", "2.9 GB" ], [ "7b-q4_0", "3.8 GB" ], [ "7b-q4_1", "4.2 GB" ], [ "7b-q4_K_M", "4.1 GB" ], [ "7b-q4_K_S", "3.9 GB" ], [ "7b-q5_0", "4.7 GB" ], [ "7b-q5_1", "5.1 GB" ], [ "7b-q5_K_M", "4.8 GB" ], [ "7b-q5_K_S", "4.7 GB" ], [ "7b-q6_K", "5.5 GB" ], [ "7b-q8_0", "7.2 GB" ] ], "image": false, "author": "MotherDuck, Numbers Station" }, "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", "68 GB" ], [ "120b", "68 GB" ], [ "v2.2", "68 GB" ], [ "120b-v2.2", "68 GB" ], [ "120b-v2.2-fp16", "241 GB" ], [ "120b-v2.2-q2_K", "51 GB" ], [ "120b-v2.2-q3_K_L", "63 GB" ], [ "120b-v2.2-q3_K_M", "58 GB" ], [ "120b-v2.2-q3_K_S", "52 GB" ], [ "120b-v2.2-q4_0", "68 GB" ], [ "120b-v2.2-q4_1", "75 GB" ], [ "120b-v2.2-q4_K_M", "72 GB" ], [ "120b-v2.2-q4_K_S", "68 GB" ], [ "120b-v2.2-q5_0", "83 GB" ], [ "120b-v2.2-q5_1", "90 GB" ], [ "120b-v2.2-q5_K_M", "85 GB" ], [ "120b-v2.2-q5_K_S", "83 GB" ], [ "120b-v2.2-q6_K", "99 GB" ], [ "120b-v2.2-q8_0", "128 GB" ] ], "image": false, "author": "Cognitive Computations" }, "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", "66 GB" ], [ "120b-q4_0", "66 GB" ], [ "120b-fp16", "236 GB" ], [ "120b-q2_K", "50 GB" ], [ "120b-q3_K_L", "62 GB" ], [ "120b-q3_K_M", "56 GB" ], [ "120b-q3_K_S", "51 GB" ], [ "120b-q4_1", "74 GB" ], [ "120b-q4_K_M", "71 GB" ], [ "120b-q4_K_S", "66 GB" ], [ "120b-q5_0", "81 GB" ], [ "120b-q5_1", "88 GB" ], [ "120b-q5_K_M", "83 GB" ], [ "120b-q5_K_S", "81 GB" ], [ "120b-q6_K", "97 GB" ], [ "120b-q8_0", "125 GB" ] ], "image": false, "author": "Alpindale" }, "notux": { "url": "https://ollama.com/library/notux", "description": "A top-performing mixture of experts model, fine-tuned with high-quality data.", "tags": [ [ "latest", "26 GB" ], [ "8x7b", "26 GB" ], [ "8x7b-v1", "26 GB" ], [ "8x7b-v1-fp16", "93 GB" ], [ "8x7b-v1-q2_K", "16 GB" ], [ "8x7b-v1-q3_K_L", "20 GB" ], [ "8x7b-v1-q3_K_M", "20 GB" ], [ "8x7b-v1-q3_K_S", "20 GB" ], [ "8x7b-v1-q4_0", "26 GB" ], [ "8x7b-v1-q4_1", "29 GB" ], [ "8x7b-v1-q4_K_M", "26 GB" ], [ "8x7b-v1-q4_K_S", "26 GB" ], [ "8x7b-v1-q5_0", "32 GB" ], [ "8x7b-v1-q5_1", "35 GB" ], [ "8x7b-v1-q5_K_M", "32 GB" ], [ "8x7b-v1-q5_K_S", "32 GB" ], [ "8x7b-v1-q6_K", "38 GB" ], [ "8x7b-v1-q8_0", "50 GB" ] ], "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", "7.4 GB" ], [ "13b", "7.4 GB" ], [ "13b-fp16", "26 GB" ], [ "13b-q2_K", "5.4 GB" ], [ "13b-q3_K_L", "6.9 GB" ], [ "13b-q3_K_M", "6.3 GB" ], [ "13b-q3_K_S", "5.7 GB" ], [ "13b-q4_0", "7.4 GB" ], [ "13b-q4_1", "8.2 GB" ], [ "13b-q4_K_M", "7.9 GB" ], [ "13b-q4_K_S", "7.4 GB" ], [ "13b-q5_0", "9.0 GB" ], [ "13b-q5_1", "9.8 GB" ], [ "13b-q5_K_M", "9.2 GB" ], [ "13b-q5_K_S", "9.0 GB" ], [ "13b-q6_K", "11 GB" ], [ "13b-q8_0", "14 GB" ] ], "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", "6.4 GB" ], [ "11b", "6.4 GB" ], [ "11b-fp16", "22 GB" ], [ "11b-q2_K", "4.3 GB" ], [ "11b-q3_K_L", "5.8 GB" ], [ "11b-q3_K_M", "5.4 GB" ], [ "11b-q3_K_S", "4.9 GB" ], [ "11b-q4_0", "6.4 GB" ], [ "11b-q4_1", "7.1 GB" ], [ "11b-q4_K_M", "6.8 GB" ], [ "11b-q4_K_S", "6.4 GB" ], [ "11b-q5_0", "7.7 GB" ], [ "11b-q5_1", "8.4 GB" ], [ "11b-q5_K_M", "8.2 GB" ], [ "11b-q5_K_S", "7.7 GB" ], [ "11b-q6_K", "9.2 GB" ], [ "11b-q8_0", "12 GB" ] ], "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.", "tags": [ [ "latest", "4.1 GB" ], [ "7b", "4.1 GB" ], [ "7b-v1", "4.1 GB" ], [ "7b-v1-fp16", "14 GB" ], [ "7b-v1-q2_K", "3.1 GB" ], [ "7b-v1-q3_K_L", "3.8 GB" ], [ "7b-v1-q3_K_M", "3.5 GB" ], [ "7b-v1-q3_K_S", "3.2 GB" ], [ "7b-v1-q4_0", "4.1 GB" ], [ "7b-v1-q4_1", "4.6 GB" ], [ "7b-v1-q4_K_M", "4.4 GB" ], [ "7b-v1-q4_K_S", "4.1 GB" ], [ "7b-v1-q5_0", "5.0 GB" ], [ "7b-v1-q5_1", "5.4 GB" ], [ "7b-v1-q5_K_M", "5.1 GB" ], [ "7b-v1-q5_K_S", "5.0 GB" ], [ "7b-v1-q6_K", "5.9 GB" ], [ "7b-v1-q8_0", "7.7 GB" ] ], "image": false, "author": "Argilla" }, "dbrx": { "url": "https://ollama.com/library/dbrx", "description": "DBRX is an open, general-purpose LLM created by Databricks.", "tags": [ [ "latest", "74 GB" ], [ "132b", "74 GB" ], [ "instruct", "74 GB" ], [ "132b-instruct-fp16", "263 GB" ], [ "132b-instruct-q2_K", "48 GB" ], [ "132b-instruct-q4_0", "74 GB" ], [ "132b-instruct-q8_0", "140 GB" ] ], "image": false, "author": "Databricks" }, "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", "4.5 GB" ], [ "7b", "4.5 GB" ], [ "7b-chat-v2.5-fp16", "15 GB" ], [ "7b-chat-v2.5-q2_K", "3.0 GB" ], [ "7b-chat-v2.5-q3_K_L", "4.1 GB" ], [ "7b-chat-v2.5-q3_K_M", "3.8 GB" ], [ "7b-chat-v2.5-q3_K_S", "3.5 GB" ], [ "7b-chat-v2.5-q4_0", "4.5 GB" ], [ "7b-chat-v2.5-q4_1", "4.9 GB" ], [ "7b-chat-v2.5-q4_K_M", "4.7 GB" ], [ "7b-chat-v2.5-q4_K_S", "4.5 GB" ], [ "7b-chat-v2.5-q5_0", "5.4 GB" ], [ "7b-chat-v2.5-q5_1", "5.8 GB" ], [ "7b-chat-v2.5-q5_K_M", "5.5 GB" ], [ "7b-chat-v2.5-q5_K_S", "5.4 GB" ], [ "7b-chat-v2.5-q6_K", "6.4 GB" ], [ "7b-chat-v2.5-q8_0", "8.2 GB" ] ], "image": false, "author": "Intern LM" }, "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", "24 GB" ], [ "40b", "24 GB" ], [ "40b-1023-q4_0", "24 GB" ], [ "40b-1023-q4_1", "26 GB" ], [ "40b-1023-q5_0", "29 GB" ], [ "40b-1023-q5_1", "32 GB" ], [ "40b-1023-q8_0", "44 GB" ] ], "image": false, "author": "LightOn AI" }, "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", "4.7 GB" ], [ "70b", "40 GB" ], [ "8b", "4.7 GB" ], [ "70b-fp16", "141 GB" ], [ "70b-q2_K", "26 GB" ], [ "70b-q3_K_L", "37 GB" ], [ "70b-q3_K_M", "34 GB" ], [ "70b-q3_K_S", "31 GB" ], [ "70b-q4_0", "40 GB" ], [ "70b-q4_1", "44 GB" ], [ "70b-q4_K_M", "43 GB" ], [ "70b-q4_K_S", "40 GB" ], [ "70b-q5_0", "49 GB" ], [ "70b-q5_1", "53 GB" ], [ "70b-q5_K_M", "50 GB" ], [ "70b-q5_K_S", "49 GB" ], [ "70b-q6_K", "58 GB" ], [ "70b-q8_0", "75 GB" ], [ "8b-fp16", "16 GB" ], [ "8b-q2_K", "3.2 GB" ], [ "8b-q3_K_L", "4.3 GB" ], [ "8b-q3_K_M", "4.0 GB" ], [ "8b-q3_K_S", "3.7 GB" ], [ "8b-q4_0", "4.7 GB" ], [ "8b-q4_1", "5.1 GB" ], [ "8b-q4_K_M", "4.9 GB" ], [ "8b-q4_K_S", "4.7 GB" ], [ "8b-q5_0", "5.6 GB" ], [ "8b-q5_1", "6.1 GB" ], [ "8b-q5_K_M", "5.7 GB" ], [ "8b-q5_K_S", "5.6 GB" ], [ "8b-q6_K", "6.6 GB" ], [ "8b-q8_0", "8.5 GB" ] ], "image": false, "author": "Groq" }, "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", "4.1 GB" ], [ "7b", "4.1 GB" ], [ "7b-v0.1-fp16", "14 GB" ], [ "7b-v0.1-q2_K", "2.7 GB" ], [ "7b-v0.1-q3_K_L", "3.8 GB" ], [ "7b-v0.1-q3_K_M", "3.5 GB" ], [ "7b-v0.1-q3_K_S", "3.2 GB" ], [ "7b-v0.1-q4_0", "4.1 GB" ], [ "7b-v0.1-q4_1", "4.6 GB" ], [ "7b-v0.1-q4_K_M", "4.4 GB" ], [ "7b-v0.1-q4_K_S", "4.1 GB" ], [ "7b-v0.1-q5_0", "5.0 GB" ], [ "7b-v0.1-q5_1", "5.4 GB" ], [ "7b-v0.1-q5_K_M", "5.1 GB" ], [ "7b-v0.1-q5_K_S", "5.0 GB" ], [ "7b-v0.1-q6_K", "5.9 GB" ], [ "7b-v0.1-q8_0", "7.7 GB" ] ], "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", "40 GB" ], [ "70b", "40 GB" ], [ "70b-fp16", "141 GB" ], [ "70b-q2_K", "26 GB" ], [ "70b-q3_K_L", "37 GB" ], [ "70b-q3_K_M", "34 GB" ], [ "70b-q3_K_S", "31 GB" ], [ "70b-q4_0", "40 GB" ], [ "70b-q4_1", "44 GB" ], [ "70b-q4_K_M", "43 GB" ], [ "70b-q4_K_S", "40 GB" ], [ "70b-q5_0", "49 GB" ], [ "70b-q5_1", "53 GB" ], [ "70b-q5_K_M", "50 GB" ], [ "70b-q5_K_S", "49 GB" ], [ "70b-q6_K", "58 GB" ], [ "70b-q8_0", "75 GB" ] ], "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", "2.2 GB" ], [ "3.8b", "2.2 GB" ], [ "3.8b-fp16", "7.6 GB" ], [ "3.8b-q2_K", "1.4 GB" ], [ "3.8b-q3_K_L", "2.1 GB" ], [ "3.8b-q3_K_M", "2.0 GB" ], [ "3.8b-q3_K_S", "1.7 GB" ], [ "3.8b-q4_0", "2.2 GB" ], [ "3.8b-q4_1", "2.4 GB" ], [ "3.8b-q4_K_M", "2.4 GB" ], [ "3.8b-q4_K_S", "2.2 GB" ], [ "3.8b-q5_0", "2.6 GB" ], [ "3.8b-q5_1", "2.9 GB" ], [ "3.8b-q5_K_M", "2.8 GB" ], [ "3.8b-q5_K_S", "2.6 GB" ], [ "3.8b-q6_K", "3.1 GB" ], [ "3.8b-q8_0", "4.1 GB" ] ], "image": false, "author": "Numind" } }