[
  {
    "order": "a",
    "md5sum": "e8d47924f433bd561cb5244557147793",
    "name": "Wizard v1.1",
    "filename": "wizardlm-13b-v1.1-superhot-8k.ggmlv3.q4_0.bin",
    "filesize": "7323310848",
    "ramrequired": "16",
    "parameters": "13 billion",
    "quant": "q4_0",
    "type": "LLaMA",
    "systemPrompt": " ",
    "description": "<strong>Best overall model</strong><br><ul><li>Instruction based<li>Gives very long responses<li>Finetuned with only 1k of high-quality data<li>Trained by Microsoft and Peking University<li>Cannot be used commercially</ul"
  },
  {
    "order": "b",
    "md5sum": "725f148218a65ce8ebcc724e52f31b49",
    "name": "GPT4All Falcon",
    "filename": "ggml-model-gpt4all-falcon-q4_0.bin",
    "filesize": "4061641216",
    "requires": "2.4.9",
    "ramrequired": "8",
    "parameters": "7 billion",
    "quant": "q4_0",
    "type": "Falcon",
    "systemPrompt": " ",
    "description": "<strong>Best overall smaller model</strong><br><ul><li>Fast responses</li><li>Instruction based</li><li>Trained by TII<li>Finetuned by Nomic AI<li>Licensed for commercial use</ul>",
    "url": "https://huggingface.co/nomic-ai/gpt4all-falcon-ggml/resolve/main/ggml-model-gpt4all-falcon-q4_0.bin",
    "promptTemplate": "### Instruction:\n%1\n### Response:\n"
  },
  {
    "order": "c",
    "md5sum": "4acc146dd43eb02845c233c29289c7c5",
    "name": "Hermes",
    "filename": "nous-hermes-13b.ggmlv3.q4_0.bin",
    "filesize": "8136777088",
    "requires": "2.4.7",
    "ramrequired": "16",
    "parameters": "13 billion",
    "quant": "q4_0",
    "type": "LLaMA",
    "systemPrompt": " ",
    "description": "<strong>Extremely good model</strong><br><ul><li>Instruction based<li>Gives long responses<li>Curated with 300,000 uncensored instructions<li>Trained by Nous Research<li>Cannot be used commercially</ul>",
    "url": "https://huggingface.co/TheBloke/Nous-Hermes-13B-GGML/resolve/main/nous-hermes-13b.ggmlv3.q4_0.bin",
    "promptTemplate": "### Instruction:\n%1\n### Response:\n"
  },
  {
    "order": "e",
    "md5sum": "81a09a0ddf89690372fc296ff7f625af",
    "name": "Groovy",
    "filename": "ggml-gpt4all-j-v1.3-groovy.bin",
    "filesize": "3785248281",
    "ramrequired": "8",
    "parameters": "7 billion",
    "quant": "q4_0",
    "type": "GPT-J",
    "systemPrompt": " ",
    "description": "<strong>Creative model can be used for commercial purposes</strong><br><ul><li>Fast responses<li>Creative responses</li><li>Instruction based</li><li>Trained by Nomic AI<li>Licensed for commercial use</ul>"
  },
  {
    "order": "f",
    "md5sum": "11d9f060ca24575a2c303bdc39952486",
    "name": "Snoozy",
    "filename": "GPT4All-13B-snoozy.ggmlv3.q4_0.bin",
    "filesize": "8136770688",
    "requires": "2.4.7",
    "ramrequired": "16",
    "parameters": "13 billion",
    "quant": "q4_0",
    "type": "LLaMA",
    "systemPrompt": " ",
    "description": "<strong>Very good overall model</strong><br><ul><li>Instruction based<li>Based on the same dataset as Groovy<li>Slower than Groovy, with higher quality responses<li>Trained by Nomic AI<li>Cannot be used commercially</ul>",
    "url": "https://huggingface.co/TheBloke/GPT4All-13B-snoozy-GGML/resolve/main/GPT4All-13B-snoozy.ggmlv3.q4_0.bin"
  },
  {
    "order": "g",
    "md5sum": "756249d3d6abe23bde3b1ae272628640",
    "name": "MPT Chat",
    "filename": "ggml-mpt-7b-chat.bin",
    "filesize": "4854401050",
    "requires": "2.4.1",
    "ramrequired": "8",
    "parameters": "7 billion",
    "quant": "q4_0",
    "type": "MPT",
    "description": "<strong>Best overall smaller model</strong><br><ul><li>Fast responses<li>Chat based<li>Trained by Mosaic ML<li>Cannot be used commercially</ul>",
    "promptTemplate": "<|im_start|>user\n%1<|im_end|><|im_start|>assistant\n",
    "systemPrompt": "<|im_start|>system\n- You are a helpful assistant chatbot trained by MosaicML.\n- You answer questions.\n- You are excited to be able to help the user, but will refuse to do anything that could be considered harmful to the user.\n- You are more than just an information source, you are also able to write poetry, short stories, and make jokes.<|im_end|>"
  },
  {
    "order": "h",
    "md5sum": "e64e74375ce9d36a3d0af3db1523fd0a",
    "name": "Mini Orca",
    "filename": "orca-mini-7b.ggmlv3.q4_0.bin",
    "filesize": "3791749248",
    "requires": "2.4.7",
    "ramrequired": "8",
    "parameters": "7 billion",
    "quant": "q4_0",
    "type": "OpenLLaMa",
    "description": "<strong>New model with novel dataset</strong><br><ul><li>Instruction based<li>Explain tuned datasets<li>Orca Research Paper dataset construction approaches<li>Licensed for commercial use</ul>",
    "url": "https://huggingface.co/TheBloke/orca_mini_7B-GGML/resolve/main/orca-mini-7b.ggmlv3.q4_0.bin",
    "promptTemplate": "### User:\n%1\n### Response:\n",
    "systemPrompt": "### System:\nYou are an AI assistant that follows instruction extremely well. Help as much as you can.\n\n"
  },
  {
    "order": "i",
    "md5sum": "6a087f7f4598fad0bb70e6cb4023645e",
    "name": "Mini Orca (Small)",
    "filename": "orca-mini-3b.ggmlv3.q4_0.bin",
    "filesize": "1928446208",
    "requires": "2.4.7",
    "ramrequired": "4",
    "parameters": "3 billion",
    "quant": "q4_0",
    "type": "OpenLLaMa",
    "description": "<strong>Small version of new model with novel dataset</strong><br><ul><li>Instruction based<li>Explain tuned datasets<li>Orca Research Paper dataset construction approaches<li>Licensed for commercial use</ul>",
    "url": "https://huggingface.co/TheBloke/orca_mini_3B-GGML/resolve/main/orca-mini-3b.ggmlv3.q4_0.bin",
    "promptTemplate": "### User:\n%1\n### Response:\n",
    "systemPrompt": "### System:\nYou are an AI assistant that follows instruction extremely well. Help as much as you can.\n\n"
  },
  {
    "order": "j",
    "md5sum": "959b7f65b2d12fd1e3ff99e7493c7a3a",
    "name": "Mini Orca (Large)",
    "filename": "orca-mini-13b.ggmlv3.q4_0.bin",
    "filesize": "7323329152",
    "requires": "2.4.7",
    "ramrequired": "16",
    "parameters": "13 billion",
    "quant": "q4_0",
    "type": "OpenLLaMa",
    "description": "<strong>Largest version of new model with novel dataset</strong><br><ul><li>Instruction based<li>Explain tuned datasets<li>Orca Research Paper dataset construction approaches<li>Licensed for commercial use</ul>",
    "url": "https://huggingface.co/TheBloke/orca_mini_13B-GGML/resolve/main/orca-mini-13b.ggmlv3.q4_0.bin",
    "promptTemplate": "### User:\n%1\n### Response:\n",
    "systemPrompt": "### System:\nYou are an AI assistant that follows instruction extremely well. Help as much as you can.\n\n"
  },
  {
    "order": "k",
    "md5sum": "29119f8fa11712704c6b22ac5ab792ea",
    "name": "Vicuna",
    "filename": "ggml-vicuna-7b-1.1-q4_2.bin",
    "filesize": "4212859520",
    "ramrequired": "8",
    "parameters": "7 billion",
    "quant": "q4_2",
    "type": "LLaMA",
    "systemPrompt": " ",
    "description": "<strong>Good small model - trained by teams from UC Berkeley, CMU, Stanford, MBZUAI, and UC San Diego</strong><br><ul><li>Instruction based<li>Cannot be used commercially</ul>"
  },
  {
    "order": "l",
    "md5sum": "95999b7b0699e2070af63bf5d34101a8",
    "name": "Vicuna (large)",
    "filename": "ggml-vicuna-13b-1.1-q4_2.bin",
    "filesize": "8136770688",
    "ramrequired": "16",
    "parameters": "13 billion",
    "quant": "q4_2",
    "type": "LLaMA",
    "systemPrompt": " ",
    "description": "<strong>Good larger model - trained by teams from UC Berkeley, CMU, Stanford, MBZUAI, and UC San Diego</strong><br><ul><li>Instruction based<li>Cannot be used commercially</ul>"
  },
  {
    "order": "m",
    "md5sum": "99e6d129745a3f1fb1121abed747b05a",
    "name": "Wizard",
    "filename": "ggml-wizardLM-7B.q4_2.bin",
    "filesize": "4212864640",
    "ramrequired": "8",
    "parameters": "7 billion",
    "quant": "q4_2",
    "type": "LLaMA",
    "systemPrompt": " ",
    "description": "<strong>Good small model - trained by by Microsoft and Peking University</strong><br><ul><li>Instruction based<li>Cannot be used commercially</ul>"
  },
  {
    "order": "n",
    "md5sum": "6cb4ee297537c9133bddab9692879de0",
    "name": "Stable Vicuna",
    "filename": "ggml-stable-vicuna-13B.q4_2.bin",
    "filesize": "8136777088",
    "ramrequired": "16",
    "parameters": "13 billion",
    "quant": "q4_2",
    "type": "LLaMA",
    "description": "<strong>Trained with RLHF by Stability AI</strong><br><ul><li>Instruction based<li>Cannot be used commercially</ul>",
    "systemPrompt": "## Assistant: I am StableVicuna, a large language model created by CarperAI. I am here to chat!\n\n"
  },
  {
    "order": "o",
    "md5sum": "1cfa4958f489f0a0d1ffdf6b37322809",
    "name": "MPT Instruct",
    "filename": "ggml-mpt-7b-instruct.bin",
    "filesize": "4854401028",
    "requires": "2.4.1",
    "ramrequired": "8",
    "parameters": "7 billion",
    "quant": "q4_0",
    "type": "MPT",
    "systemPrompt": " ",
    "description": "<strong>Mosaic's instruction model</strong><br><ul><li>Instruction based<li>Trained by Mosaic ML<li>Licensed for commercial use</ul>"
  },
  {
    "order": "p",
    "md5sum": "120c32a51d020066288df045ef5d52b9",
    "name": "MPT Base",
    "filename": "ggml-mpt-7b-base.bin",
    "filesize": "4854401028",
    "requires": "2.4.1",
    "ramrequired": "8",
    "parameters": "7 billion",
    "quant": "q4_0",
    "type": "MPT",
    "systemPrompt": " ",
    "description": "<strong>Trained for text completion with no assistant finetuning</strong><br><ul><li>Completion based<li>Trained by Mosaic ML<li>Licensed for commercial use</ul>"
  },
  {
    "order": "q",
    "md5sum": "d5eafd5b0bd0d615cfd5fd763f642dfe",
    "name": "Nous Vicuna",
    "filename": "ggml-nous-gpt4-vicuna-13b.bin",
    "filesize": "8136777088",
    "ramrequired": "16",
    "parameters": "13 billion",
    "quant": "q4_0",
    "type": "LLaMA",
    "systemPrompt": " ",
    "description": "<strong>Trained on ~180,000 instructions</strong><br><ul><li>Instruction based<li>Trained by Nous Research<li>Cannot be used commercially</ul>"
  },
  {
    "order": "r",
    "md5sum": "489d21fd48840dcb31e5f92f453f3a20",
    "name": "Wizard Uncensored",
    "filename": "wizardLM-13B-Uncensored.ggmlv3.q4_0.bin",
    "filesize": "8136777088",
    "requires": "2.4.7",
    "ramrequired": "16",
    "parameters": "13 billion",
    "quant": "q4_0",
    "type": "LLaMA",
    "systemPrompt": " ",
    "description": "<strong>Trained on uncensored assistant data and instruction data</strong><br><ul><li>Instruction based<li>Cannot be used commercially</ul>",
    "url": "https://huggingface.co/TheBloke/WizardLM-13B-Uncensored-GGML/resolve/main/wizardLM-13B-Uncensored.ggmlv3.q4_0.bin"
  },
  {
    "order": "s",
    "md5sum": "615890cb571fcaa0f70b2f8d15ef809e",
    "disableGUI": "true",
    "name": "Replit",
    "filename": "ggml-replit-code-v1-3b.bin",
    "filesize": "5202046853",
    "requires": "2.4.7",
    "ramrequired": "4",
    "parameters": "3 billion",
    "quant": "f16",
    "type": "Replit",
    "systemPrompt": " ",
    "description": "<strong>Trained on subset of the Stack</strong><br><ul><li>Code completion based<li>Licensed for commercial use</ul>",
    "url": "https://huggingface.co/nomic-ai/ggml-replit-code-v1-3b/resolve/main/ggml-replit-code-v1-3b.bin"
  },
  {
    "order": "t",
    "md5sum": "031bb5d5722c08d13e3e8eaf55c37391",
    "disableGUI": "true",
    "name": "Bert",
    "filename": "ggml-all-MiniLM-L6-v2-f16.bin",
    "filesize": "45521167",
    "requires": "2.4.14",
    "ramrequired": "1",
    "parameters": "1 million",
    "quant": "f16",
    "type": "Bert",
    "systemPrompt": " ",
    "description": "<strong>Sbert</strong><br><ul><li>For embeddings"
  }
]