[
  {
    "order": "a",
    "md5sum": "48de9538c774188eb25a7e9ee024bbd3",
    "name": "Mistral OpenOrca",
    "filename": "mistral-7b-openorca.Q4_0.gguf",
    "filesize": "4108927744",
    "requires": "2.5.0",
    "ramrequired": "8",
    "parameters": "7 billion",
    "quant": "q4_0",
    "type": "Mistral",
    "systemPrompt": " ",
    "description": "<strong>Best overall fast chat model</strong><br><ul><li>Fast responses</li><li>Chat based model</li><li>Trained by Mistral AI<li>Finetuned on OpenOrca dataset curated via <a href=\"https://atlas.nomic.ai/\">Nomic Atlas</a><li>Licensed for commercial use</ul>",
    "url": "https://gpt4all.io/models/gguf/mistral-7b-openorca.Q4_0.gguf"
  },
  {
    "order": "b",
    "md5sum": "97463be739b50525df56d33b26b00852",
    "name": "Mistral Instruct",
    "filename": "mistral-7b-instruct-v0.1.Q4_0.gguf",
    "filesize": "4108916384",
    "requires": "2.5.0",
    "ramrequired": "8",
    "parameters": "7 billion",
    "quant": "q4_0",
    "type": "Mistral",
    "systemPrompt": " ",
    "description": "<strong>Best overall fast instruction following model</strong><br><ul><li>Fast responses</li><li>Trained by Mistral AI<li>Uncensored</li><li>Licensed for commercial use</li></ul>",
    "url": "https://gpt4all.io/models/gguf/mistral-7b-instruct-v0.1.Q4_0.gguf",
    "promptTemplate": "[INST] %1 [/INST]"
  },
  {
    "order": "c",
    "md5sum": "31cb6d527bd3bfb5e73c2e9dfbc75033",
    "name": "GPT4All Falcon",
    "filename": "gpt4all-falcon-q4_0.gguf",
    "filesize": "4210419040",
    "requires": "2.5.0",
    "ramrequired": "8",
    "parameters": "7 billion",
    "quant": "q4_0",
    "type": "Falcon",
    "systemPrompt": " ",
    "description": "<strong>Very fast model with good quality</strong><br><ul><li>Fastest responses</li><li>Instruction based</li><li>Trained by TII<li>Finetuned by Nomic AI<li>Licensed for commercial use</ul>",
    "url": "https://gpt4all.io/models/gguf/gpt4all-falcon-q4_0.gguf",
    "promptTemplate": "### Instruction:\n%1\n### Response:\n"
  },
  {
    "order": "e",
    "md5sum": "5aff90007499bce5c64b1c0760c0b186",
    "name": "Wizard v1.2",
    "filename": "wizardlm-13b-v1.2.Q4_0.gguf",
    "filesize": "7365834624",
    "requires": "2.5.0",
    "ramrequired": "16",
    "parameters": "13 billion",
    "quant": "q4_0",
    "type": "LLaMA2",
    "systemPrompt": " ",
    "description": "<strong>Best overall larger 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",
    "url": "https://gpt4all.io/models/gguf/wizardlm-13b-v1.2.Q4_0.gguf"
  },
  {
    "order": "f",
    "md5sum": "3d12810391d04d1153b692626c0c6e16",
    "name": "Hermes",
    "filename": "nous-hermes-llama2-13b.Q4_0.gguf",
    "filesize": "7366062080",
    "requires": "2.5.0",
    "ramrequired": "16",
    "parameters": "13 billion",
    "quant": "q4_0",
    "type": "LLaMA2",
    "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://gpt4all.io/models/gguf/nous-hermes-llama2-13b.Q4_0.gguf",
    "promptTemplate": "### Instruction:\n%1\n### Response:\n"
  },
  {
    "order": "g",
    "md5sum": "40388eb2f8d16bb5d08c96fdfaac6b2c",
    "name": "Snoozy",
    "filename": "gpt4all-13b-snoozy-q4_0.gguf",
    "filesize": "7365834624",
    "requires": "2.5.0",
    "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://gpt4all.io/models/gguf/gpt4all-13b-snoozy-q4_0.gguf"
  },
  {
    "order": "h",
    "md5sum": "cf5e8f73747f9d7c6fe72a629808c1de",
    "name": "MPT Chat",
    "filename": "mpt-7b-chat-merges-q4_0.gguf",
    "filesize": "3796133728",
    "requires": "2.5.0",
    "ramrequired": "8",
    "parameters": "7 billion",
    "quant": "q4_0",
    "type": "MPT",
    "description": "<strong>Good model with novel architecture</strong><br><ul><li>Fast responses<li>Chat based<li>Trained by Mosaic ML<li>Cannot be used commercially</ul>",
    "url": "https://gpt4all.io/models/gguf/mpt-7b-chat-merges-q4_0.gguf",
    "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": "i",
    "md5sum": "0e769317b90ac30d6e09486d61fefa26",
    "name": "Mini Orca (Small)",
    "filename": "orca-mini-3b-gguf2-q4_0.gguf",
    "filesize": "1979946720",
    "requires": "2.5.0",
    "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>Cannot be used commercially</ul>",
    "url": "https://gpt4all.io/models/gguf/orca-mini-3b-gguf2-q4_0.gguf",
    "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": "e30579a1b109882f10e2a5e75ea388fb",
    "disableGUI": "true",
    "name": "Replit",
    "filename": "replit-code-v1_5-3b-q4_0.gguf",
    "filesize": "1870449696",
    "requires": "2.5.0",
    "ramrequired": "4",
    "parameters": "3 billion",
    "quant": "q4_0",
    "type": "Replit",
    "systemPrompt": " ",
    "promptTemplate": "%1",
    "description": "<strong>Trained on subset of the Stack</strong><br><ul><li>Code completion based<li>Licensed for commercial use</ul>",
    "url": "https://gpt4all.io/models/gguf/replit-code-v1_5-3b-q4_0.gguf"
  },
  {
    "order": "k",
    "md5sum": "556fc3e13df42286997fb58e6f4c639f",
    "disableGUI": "true",
    "name": "Starcoder",
    "filename": "starcoder-q4_0.gguf",
    "filesize": "8987166880",
    "requires": "2.5.0",
    "ramrequired": "4",
    "parameters": "7 billion",
    "quant": "q4_0",
    "type": "Starcoder",
    "systemPrompt": " ",
    "promptTemplate": "%1",
    "description": "<strong>Trained on subset of the Stack</strong><br><ul><li>Code completion based</ul>",
    "url": "https://gpt4all.io/models/gguf/starcoder-q4_0.gguf"
  },
  {
    "order": "l",
    "md5sum": "e973dd26f0ffa6e46783feaea8f08c83",
    "disableGUI": "true",
    "name": "Rift coder",
    "filename": "rift-coder-v0-7b-q4_0.gguf",
    "filesize": "3825903776",
    "requires": "2.5.0",
    "ramrequired": "8",
    "parameters": "7 billion",
    "quant": "q4_0",
    "type": "LLaMA",
    "systemPrompt": " ",
    "promptTemplate": "%1",
    "description": "Code completion model",
    "url": "https://gpt4all.io/models/gguf/rift-coder-v0-7b-q4_0.gguf"
  },
  {
    "order": "m",
    "md5sum": "e479e6f38b59afc51a470d1953a6bfc7",
    "disableGUI": "true",
    "name": "SBert",
    "filename": "all-MiniLM-L6-v2-f16.gguf",
    "filesize": "45887744",
    "requires": "2.5.0",
    "ramrequired": "1",
    "parameters": "1 million",
    "quant": "f16",
    "type": "Bert",
    "systemPrompt": " ",
    "description": "<strong>Sbert</strong><br><ul><li>For embeddings",
    "url": "https://gpt4all.io/models/gguf/all-MiniLM-L6-v2-f16.gguf"
  },
  {
    "order": "n",
    "md5sum": "919de4dd6f25351bcb0223790db1932d",
    "name": "EM German Mistral",
    "filename": "em_german_mistral_v01.Q4_0.gguf",
    "filesize": "4108916352",
    "requires": "2.5.0",
    "ramrequired": "8",
    "parameters": "7 billion",
    "quant": "q4_0",
    "type": "Mistral",
    "description": "<strong>Mistral-based model for German-language applications</strong><br><ul><li>Fast responses</li><li>Chat based model</li><li>Trained by ellamind<li>Finetuned on German instruction and chat data</a><li>Licensed for commercial use</ul>",
    "url": "https://huggingface.co/TheBloke/em_german_mistral_v01-GGUF/resolve/main/em_german_mistral_v01.Q4_0.gguf",
    "promptTemplate": "USER: %1 ASSISTANT: ",
    "systemPrompt": "Du bist ein hilfreicher Assistent. "
  }
]