inferenceillusionist/mixtral-8x7b-instruct-v0.1-limarp-zloss-imat-gguf overview

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    "license": "apache-2.0",
    "tags": [
      "merge",
      "gguf",
      "iMat"
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    "frontmatter": {
      "license": "apache-2.0",
      "tags": [
        "merge",
        "gguf",
        "iMat"
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    "hero_image_url": "https://i.imgur.com/P68dXux.png",
    "summary": "Quantized from fp32 with love. * Quantizations made possible using mixtral-8x7b.imatrix file from this repo (special thanks to ikawrakow). For a brief rundown of iMatrix quant performance please see this PR All quants are verified working prior to uploading to repo for your safety and convenience.  Importance matrix quantizations are a work in progress, IQ3 and above is recommended for best results. Tip: Pick a size that can fit in your GPU while still allowing some room for context for best speed. You may need to pad this further depending on if you are running image gen or TTS as well. Original model card can be found here",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nlicense: apache-2.0\ntags:\n- merge\n- gguf\n- iMat\n---\n<img src=\"https://i.imgur.com/P68dXux.png\" width=\"400\"/>\n\n# Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss-iMat-GGUF\n\nQuantized from fp32 with love.\n* Quantizations made possible using mixtral-8x7b.imatrix file from [this](https://huggingface.co/datasets/ikawrakow/imatrix-from-wiki-train) repo (special thanks to [ikawrakow](https://huggingface.co/ikawrakow)).\n\nFor a brief rundown of iMatrix quant performance please see this [PR](https://github.com/ggerganov/llama.cpp/pull/5747)\n\n<i>All quants are verified working prior to uploading to repo for your safety and convenience. </i>\n\nImportance matrix quantizations are a work in progress, IQ3 and above is recommended for best results. \n\n<b>Tip:</b> Pick a size that can fit in your GPU while still allowing some room for context for best speed. You may need to pad this further depending on if you are running image gen or TTS as well.\n\nOriginal model card can be found [here](https://huggingface.co/Doctor-Shotgun/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss)",
    "related_quantizations": []
  },
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    "iMat",
    "license:apache-2.0",
    "endpoints_compatible",
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  "last_modified": "2024-04-17T18:33:12.000Z",
  "created_at": "2024-04-16T01:49:55.000Z",
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  "createdAt": "2024-04-16T01:49:55.000Z",
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  "author": "InferenceIllusionist",
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