legraphista/mistral-nemo-minitron-8b-base-imat-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "nvidia/Mistral-NeMo-Minitron-8B-Base",
    "inference": false,
    "library_name": "gguf",
    "license": "other",
    "license_link": "https://developer.download.nvidia.com/licenses/nvidia-open-model-license-agreement-june-2024.pdf",
    "license_name": "nvidia-open-model-license",
    "pipeline_tag": "text-generation",
    "quantized_by": "legraphista",
    "tags": [
      "quantized",
      "GGUF",
      "quantization",
      "imat",
      "imatrix",
      "static",
      "16bit",
      "8bit",
      "6bit",
      "5bit",
      "4bit",
      "3bit",
      "2bit",
      "1bit"
    ],
    "frontmatter": {
      "base_model": "nvidia/Mistral-NeMo-Minitron-8B-Base",
      "inference": "false",
      "library_name": "gguf",
      "license": "other",
      "license_link": "https://developer.download.nvidia.com/licenses/nvidia-open-model-license-agreement-june-2024.pdf",
      "license_name": "nvidia-open-model-license",
      "pipeline_tag": "text-generation",
      "quantized_by": "legraphista",
      "tags": [
        "quantized",
        "GGUF",
        "quantization",
        "imat",
        "imatrix",
        "static",
        "16bit",
        "8bit",
        "6bit",
        "5bit",
        "4bit",
        "3bit",
        "2bit",
        "1bit"
      ]
    },
    "hero_image_url": "",
    "summary": "_Llama.cpp imatrix quantization of nvidia/Mistral-NeMo-Minitron-8B-Base_ Original Model: nvidia/Mistral-NeMo-Minitron-8B-Base Original dtype: BF16 (bfloat16) Quantized by:  llama.cpp b3613 IMatrix dataset: here ---",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: nvidia/Mistral-NeMo-Minitron-8B-Base\ninference: false\nlibrary_name: gguf\nlicense: other\nlicense_link: https://developer.download.nvidia.com/licenses/nvidia-open-model-license-agreement-june-2024.pdf\nlicense_name: nvidia-open-model-license\npipeline_tag: text-generation\nquantized_by: legraphista\ntags:\n- quantized\n- GGUF\n- quantization\n- imat\n- imatrix\n- static\n- 16bit\n- 8bit\n- 6bit\n- 5bit\n- 4bit\n- 3bit\n- 2bit\n- 1bit\n---\n\n# Mistral-NeMo-Minitron-8B-Base-IMat-GGUF\n_Llama.cpp imatrix quantization of nvidia/Mistral-NeMo-Minitron-8B-Base_\n\nOriginal Model: [nvidia/Mistral-NeMo-Minitron-8B-Base](https://huggingface.co/nvidia/Mistral-NeMo-Minitron-8B-Base)    \nOriginal dtype: `BF16` (`bfloat16`)  \nQuantized by:  llama.cpp [b3613](https://github.com/ggerganov/llama.cpp/releases/tag/b3613)  \nIMatrix dataset: [here](https://gist.githubusercontent.com/bartowski1182/eb213dccb3571f863da82e99418f81e8/raw/b2869d80f5c16fd7082594248e80144677736635/calibration_datav3.txt)  \n\n- [Files](#files)\n    - [IMatrix](#imatrix)\n    - [Common Quants](#common-quants)\n    - [All Quants](#all-quants)\n- [Downloading using huggingface-cli](#downloading-using-huggingface-cli)\n- [Inference](#inference)\n    - [Llama.cpp](#llama-cpp)\n- [FAQ](#faq)\n    - [Why is the IMatrix not applied everywhere?](#why-is-the-imatrix-not-applied-everywhere)\n    - [How do I merge a split GGUF?](#how-do-i-merge-a-split-gguf)\n\n---\n\n## Files\n\n### IMatrix\nStatus: ✅ Available  \nLink: [here](https://huggingface.co/legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF/blob/main/imatrix.dat)\n\n### Common Quants\n| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |\n| -------- | ---------- | --------- | ------ | ------------ | -------- |\n| [Mistral-NeMo-Minitron-8B-Base.Q8_0.gguf](https://huggingface.co/legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF/blob/main/Mistral-NeMo-Minitron-8B-Base.Q8_0.gguf) | Q8_0 | 8.95GB | ✅ Available | ⚪ Static | 📦 No\n| [Mistral-NeMo-Minitron-8B-Base.Q6_K.gguf](https://huggingface.co/legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF/blob/main/Mistral-NeMo-Minitron-8B-Base.Q6_K.gguf) | Q6_K | 6.91GB | ✅ Available | ⚪ Static | 📦 No\n| [Mistral-NeMo-Minitron-8B-Base.Q4_K.gguf](https://huggingface.co/legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF/blob/main/Mistral-NeMo-Minitron-8B-Base.Q4_K.gguf) | Q4_K | 5.15GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [Mistral-NeMo-Minitron-8B-Base.Q3_K.gguf](https://huggingface.co/legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF/blob/main/Mistral-NeMo-Minitron-8B-Base.Q3_K.gguf) | Q3_K | 4.21GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [Mistral-NeMo-Minitron-8B-Base.Q2_K.gguf](https://huggingface.co/legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF/blob/main/Mistral-NeMo-Minitron-8B-Base.Q2_K.gguf) | Q2_K | 3.33GB | ✅ Available | 🟢 IMatrix | 📦 No\n\n\n### All Quants\n| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |\n| -------- | ---------- | --------- | ------ | ------------ | -------- |\n| [Mistral-NeMo-Minitron-8B-Base.BF16.gguf](https://huggingface.co/legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF/blob/main/Mistral-NeMo-Minitron-8B-Base.BF16.gguf) | BF16 | 16.84GB | ✅ Available | ⚪ Static | 📦 No\n| [Mistral-NeMo-Minitron-8B-Base.FP16.gguf](https://huggingface.co/legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF/blob/main/Mistral-NeMo-Minitron-8B-Base.FP16.gguf) | F16 | 16.84GB | ✅ Available | ⚪ Static | 📦 No\n| [Mistral-NeMo-Minitron-8B-Base.Q8_0.gguf](https://huggingface.co/legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF/blob/main/Mistral-NeMo-Minitron-8B-Base.Q8_0.gguf) | Q8_0 | 8.95GB | ✅ Available | ⚪ Static | 📦 No\n| [Mistral-NeMo-Minitron-8B-Base.Q6_K.gguf](https://huggingface.co/legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF/blob/main/Mistral-NeMo-Minitron-8B-Base.Q6_K.gguf) | Q6_K | 6.91GB | ✅ Available | ⚪ Static | 📦 No\n| [Mistral-NeMo-Minitron-8B-Base.Q5_K.gguf](https://huggingface.co/legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF/blob/main/Mistral-NeMo-Minitron-8B-Base.Q5_K.gguf) | Q5_K | 6.00GB | ✅ Available | ⚪ Static | 📦 No\n| [Mistral-NeMo-Minitron-8B-Base.Q5_K_S.gguf](https://huggingface.co/legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF/blob/main/Mistral-NeMo-Minitron-8B-Base.Q5_K_S.gguf) | Q5_K_S | 5.86GB | ✅ Available | ⚪ Static | 📦 No\n| [Mistral-NeMo-Minitron-8B-Base.Q4_K.gguf](https://huggingface.co/legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF/blob/main/Mistral-NeMo-Minitron-8B-Base.Q4_K.gguf) | Q4_K | 5.15GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [Mistral-NeMo-Minitron-8B-Base.Q4_K_S.gguf](https://huggingface.co/legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF/blob/main/Mistral-NeMo-Minitron-8B-Base.Q4_K_S.gguf) | Q4_K_S | 4.91GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [Mistral-NeMo-Minitron-8B-Base.IQ4_NL.gguf](https://huggingface.co/legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF/blob/main/Mistral-NeMo-Minitron-8B-Base.IQ4_NL.gguf) | IQ4_NL | 4.90GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [Mistral-NeMo-Minitron-8B-Base.IQ4_XS.gguf](https://huggingface.co/legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF/blob/main/Mistral-NeMo-Minitron-8B-Base.IQ4_XS.gguf) | IQ4_XS | 4.66GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [Mistral-NeMo-Minitron-8B-Base.Q3_K.gguf](https://huggingface.co/legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF/blob/main/Mistral-NeMo-Minitron-8B-Base.Q3_K.gguf) | Q3_K | 4.21GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [Mistral-NeMo-Minitron-8B-Base.Q3_K_L.gguf](https://huggingface.co/legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF/blob/main/Mistral-NeMo-Minitron-8B-Base.Q3_K_L.gguf) | Q3_K_L | 4.54GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [Mistral-NeMo-Minitron-8B-Base.Q3_K_S.gguf](https://huggingface.co/legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF/blob/main/Mistral-NeMo-Minitron-8B-Base.Q3_K_S.gguf) | Q3_K_S | 3.83GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [Mistral-NeMo-Minitron-8B-Base.IQ3_M.gguf](https://huggingface.co/legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF/blob/main/Mistral-NeMo-Minitron-8B-Base.IQ3_M.gguf) | IQ3_M | 3.98GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [Mistral-NeMo-Minitron-8B-Base.IQ3_S.gguf](https://huggingface.co/legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF/blob/main/Mistral-NeMo-Minitron-8B-Base.IQ3_S.gguf) | IQ3_S | 3.86GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [Mistral-NeMo-Minitron-8B-Base.IQ3_XS.gguf](https://huggingface.co/legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF/blob/main/Mistral-NeMo-Minitron-8B-Base.IQ3_XS.gguf) | IQ3_XS | 3.68GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [Mistral-NeMo-Minitron-8B-Base.IQ3_XXS.gguf](https://huggingface.co/legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF/blob/main/Mistral-NeMo-Minitron-8B-Base.IQ3_XXS.gguf) | IQ3_XXS | 3.43GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [Mistral-NeMo-Minitron-8B-Base.Q2_K.gguf](https://huggingface.co/legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF/blob/main/Mistral-NeMo-Minitron-8B-Base.Q2_K.gguf) | Q2_K | 3.33GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [Mistral-NeMo-Minitron-8B-Base.Q2_K_S.gguf](https://huggingface.co/legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF/blob/main/Mistral-NeMo-Minitron-8B-Base.Q2_K_S.gguf) | Q2_K_S | 3.13GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [Mistral-NeMo-Minitron-8B-Base.IQ2_M.gguf](https://huggingface.co/legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF/blob/main/Mistral-NeMo-Minitron-8B-Base.IQ2_M.gguf) | IQ2_M | 3.10GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [Mistral-NeMo-Minitron-8B-Base.IQ2_S.gguf](https://huggingface.co/legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF/blob/main/Mistral-NeMo-Minitron-8B-Base.IQ2_S.gguf) | IQ2_S | 2.90GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [Mistral-NeMo-Minitron-8B-Base.IQ2_XS.gguf](https://huggingface.co/legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF/blob/main/Mistral-NeMo-Minitron-8B-Base.IQ2_XS.gguf) | IQ2_XS | 2.73GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [Mistral-NeMo-Minitron-8B-Base.IQ2_XXS.gguf](https://huggingface.co/legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF/blob/main/Mistral-NeMo-Minitron-8B-Base.IQ2_XXS.gguf) | IQ2_XXS | 2.51GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [Mistral-NeMo-Minitron-8B-Base.IQ1_M.gguf](https://huggingface.co/legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF/blob/main/Mistral-NeMo-Minitron-8B-Base.IQ1_M.gguf) | IQ1_M | 2.27GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [Mistral-NeMo-Minitron-8B-Base.IQ1_S.gguf](https://huggingface.co/legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF/blob/main/Mistral-NeMo-Minitron-8B-Base.IQ1_S.gguf) | IQ1_S | 2.12GB | ✅ Available | 🟢 IMatrix | 📦 No\n\n\n## Downloading using huggingface-cli\nIf you do not have hugginface-cli installed:\n```\npip install -U \"huggingface_hub[cli]\"\n```\nDownload the specific file you want:\n```\nhuggingface-cli download legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF --include \"Mistral-NeMo-Minitron-8B-Base.Q8_0.gguf\" --local-dir ./\n```\nIf the model file is big, it has been split into multiple files. In order to download them all to a local folder, run:\n```\nhuggingface-cli download legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF --include \"Mistral-NeMo-Minitron-8B-Base.Q8_0/*\" --local-dir ./\n# see FAQ for merging GGUF's\n```\n\n---\n\n## Inference\n\n### Llama.cpp\n```\nllama.cpp/main -m Mistral-NeMo-Minitron-8B-Base.Q8_0.gguf --color -i -p \"prompt here\"\n```\n\n---\n\n## FAQ\n\n### Why is the IMatrix not applied everywhere?\nAccording to [this investigation](https://www.reddit.com/r/LocalLLaMA/comments/1993iro/ggufs_quants_can_punch_above_their_weights_now/), it appears that lower quantizations are the only ones that benefit from the imatrix input (as per hellaswag results). \n\n### How do I merge a split GGUF?\n1. Make sure you have `gguf-split` available\n    - To get hold of `gguf-split`, navigate to https://github.com/ggerganov/llama.cpp/releases\n    - Download the appropriate zip for your system from the latest release\n    - Unzip the archive and you should be able to find `gguf-split`\n2. Locate your GGUF chunks folder (ex: `Mistral-NeMo-Minitron-8B-Base.Q8_0`)\n3. Run `gguf-split --merge Mistral-NeMo-Minitron-8B-Base.Q8_0/Mistral-NeMo-Minitron-8B-Base.Q8_0-00001-of-XXXXX.gguf Mistral-NeMo-Minitron-8B-Base.Q8_0.gguf`\n    - Make sure to point `gguf-split` to the first chunk of the split.\n\n---\n\nGot a suggestion? Ping me [@legraphista](https://x.com/legraphista)!",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "quantized",
    "GGUF",
    "quantization",
    "imat",
    "imatrix",
    "static",
    "16bit",
    "8bit",
    "6bit",
    "5bit",
    "4bit",
    "3bit",
    "2bit",
    "1bit",
    "text-generation",
    "base_model:nvidia/Mistral-NeMo-Minitron-8B-Base",
    "base_model:quantized:nvidia/Mistral-NeMo-Minitron-8B-Base",
    "license:other",
    "region:us"
  ],
  "likes": 1,
  "downloads": 608,
  "gated": false,
  "private": false,
  "last_modified": "2024-08-21T19:37:19.000Z",
  "created_at": "2024-08-21T19:04:31.000Z",
  "pipeline_tag": "text-generation",
  "library_name": "gguf"
}

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  "_id": "66c63a3f70180bb4a859b8b9",
  "id": "legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF",
  "modelId": "legraphista/Mistral-NeMo-Minitron-8B-Base-IMat-GGUF",
  "sha": "58fd2988b0e60538e3ecdb2e5d629ad963ed3775",
  "createdAt": "2024-08-21T19:04:31.000Z",
  "lastModified": "2024-08-21T19:37:19.000Z",
  "author": "legraphista",
  "downloads": 608,
  "likes": 1,
  "gated": false,
  "private": false,
  "pipeline_tag": "text-generation",
  "library_name": "gguf",
  "siblings_count": 30
}