legraphista/yuan2-m32-hf-imat-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "IEITYuan/Yuan2-M32-hf",
    "inference": false,
    "library_name": "gguf",
    "license": "apache-2.0",
    "pipeline_tag": "text-generation",
    "quantized_by": "legraphista",
    "tags": [
      "quantized",
      "GGUF",
      "imatrix",
      "quantization",
      "imat",
      "imatrix",
      "static",
      "16bit",
      "8bit",
      "6bit",
      "5bit",
      "4bit",
      "3bit",
      "2bit",
      "1bit"
    ],
    "frontmatter": {
      "base_model": "IEITYuan/Yuan2-M32-hf",
      "inference": "false",
      "library_name": "gguf",
      "license": "apache-2.0",
      "pipeline_tag": "text-generation",
      "quantized_by": "legraphista",
      "tags": [
        "quantized",
        "GGUF",
        "imatrix",
        "quantization",
        "imat",
        "imatrix",
        "static",
        "16bit",
        "8bit",
        "6bit",
        "5bit",
        "4bit",
        "3bit",
        "2bit",
        "1bit"
      ]
    },
    "hero_image_url": "",
    "summary": "_Llama.cpp imatrix quantization of IEITYuan/Yuan2-M32-hf_ Original Model: IEITYuan/Yuan2-M32-hf Original dtype: BF16 (bfloat16) Quantized by: https://github.com/chong000/3rd_party/tree/main IMatrix dataset: here ---",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: IEITYuan/Yuan2-M32-hf\ninference: false\nlibrary_name: gguf\nlicense: apache-2.0\npipeline_tag: text-generation\nquantized_by: legraphista\ntags:\n- quantized\n- GGUF\n- imatrix\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# Yuan2-M32-hf-IMat-GGUF\n_Llama.cpp imatrix quantization of IEITYuan/Yuan2-M32-hf_\n\nOriginal Model: [IEITYuan/Yuan2-M32-hf](https://huggingface.co/IEITYuan/Yuan2-M32-hf)  \nOriginal dtype: `BF16` (`bfloat16`)  \nQuantized by: [https://github.com/chong000/3rd_party/tree/main](https://github.com/chong000/3rd_party/tree/main)  \nIMatrix dataset: [here](https://gist.githubusercontent.com/legraphista/d6d93f1a254bcfc58e0af3777eaec41e/raw/d380e7002cea4a51c33fffd47db851942754e7cc/imatrix.calibration.medium.raw)  \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/Yuan2-M32-hf-IMat-GGUF/blob/main/imatrix.dat) \n\n### Common Quants\n| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |\n| -------- | ---------- | --------- | ------ | ------------ | -------- |\n| [Yuan2-M32-hf.Q8_0.gguf](https://huggingface.co/legraphista/Yuan2-M32-hf-IMat-GGUF/blob/main/Yuan2-M32-hf.Q8_0.gguf) | Q8_0 | 42.93GB | ✅ Available | ⚪ Static | 📦 No\n| [Yuan2-M32-hf.Q6_K.gguf](https://huggingface.co/legraphista/Yuan2-M32-hf-IMat-GGUF/blob/main/Yuan2-M32-hf.Q6_K.gguf) | Q6_K | 33.23GB | ✅ Available | ⚪ Static | 📦 No\n| [Yuan2-M32-hf.Q4_K.gguf](https://huggingface.co/legraphista/Yuan2-M32-hf-IMat-GGUF/blob/main/Yuan2-M32-hf.Q4_K.gguf) | Q4_K | 24.68GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [Yuan2-M32-hf.Q3_K.gguf](https://huggingface.co/legraphista/Yuan2-M32-hf-IMat-GGUF/blob/main/Yuan2-M32-hf.Q3_K.gguf) | Q3_K | 19.54GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [Yuan2-M32-hf.Q2_K.gguf](https://huggingface.co/legraphista/Yuan2-M32-hf-IMat-GGUF/blob/main/Yuan2-M32-hf.Q2_K.gguf) | Q2_K | 15.02GB | ✅ Available | 🟢 IMatrix | 📦 No\n\n\n### All Quants\n| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |\n| -------- | ---------- | --------- | ------ | ------------ | -------- |\n| [Yuan2-M32-hf.FP16/*](https://huggingface.co/legraphista/Yuan2-M32-hf-IMat-GGUF/tree/main/Yuan2-M32-hf.FP16) | F16 | 80.12GB | ✅ Available | ⚪ Static | ✂ Yes\n| [Yuan2-M32-hf.Q8_0.gguf](https://huggingface.co/legraphista/Yuan2-M32-hf-IMat-GGUF/blob/main/Yuan2-M32-hf.Q8_0.gguf) | Q8_0 | 42.93GB | ✅ Available | ⚪ Static | 📦 No\n| [Yuan2-M32-hf.Q6_K.gguf](https://huggingface.co/legraphista/Yuan2-M32-hf-IMat-GGUF/blob/main/Yuan2-M32-hf.Q6_K.gguf) | Q6_K | 33.23GB | ✅ Available | ⚪ Static | 📦 No\n| [Yuan2-M32-hf.Q5_K.gguf](https://huggingface.co/legraphista/Yuan2-M32-hf-IMat-GGUF/blob/main/Yuan2-M32-hf.Q5_K.gguf) | Q5_K | 28.82GB | ✅ Available | ⚪ Static | 📦 No\n| [Yuan2-M32-hf.Q5_K_S.gguf](https://huggingface.co/legraphista/Yuan2-M32-hf-IMat-GGUF/blob/main/Yuan2-M32-hf.Q5_K_S.gguf) | Q5_K_S | 27.96GB | ✅ Available | ⚪ Static | 📦 No\n| [Yuan2-M32-hf.Q4_K.gguf](https://huggingface.co/legraphista/Yuan2-M32-hf-IMat-GGUF/blob/main/Yuan2-M32-hf.Q4_K.gguf) | Q4_K | 24.68GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [Yuan2-M32-hf.Q4_K_S.gguf](https://huggingface.co/legraphista/Yuan2-M32-hf-IMat-GGUF/blob/main/Yuan2-M32-hf.Q4_K_S.gguf) | Q4_K_S | 23.19GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [Yuan2-M32-hf.IQ4_NL.gguf](https://huggingface.co/legraphista/Yuan2-M32-hf-IMat-GGUF/blob/main/Yuan2-M32-hf.IQ4_NL.gguf) | IQ4_NL | 22.99GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [Yuan2-M32-hf.Q3_K.gguf](https://huggingface.co/legraphista/Yuan2-M32-hf-IMat-GGUF/blob/main/Yuan2-M32-hf.Q3_K.gguf) | Q3_K | 19.54GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [Yuan2-M32-hf.Q3_K_L.gguf](https://huggingface.co/legraphista/Yuan2-M32-hf-IMat-GGUF/blob/main/Yuan2-M32-hf.Q3_K_L.gguf) | Q3_K_L | 21.14GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [Yuan2-M32-hf.Q3_K_S.gguf](https://huggingface.co/legraphista/Yuan2-M32-hf-IMat-GGUF/blob/main/Yuan2-M32-hf.Q3_K_S.gguf) | Q3_K_S | 17.71GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [Yuan2-M32-hf.IQ3_XXS.gguf](https://huggingface.co/legraphista/Yuan2-M32-hf-IMat-GGUF/blob/main/Yuan2-M32-hf.IQ3_XXS.gguf) | IQ3_XXS | 15.91GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [Yuan2-M32-hf.Q2_K.gguf](https://huggingface.co/legraphista/Yuan2-M32-hf-IMat-GGUF/blob/main/Yuan2-M32-hf.Q2_K.gguf) | Q2_K | 15.02GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [Yuan2-M32-hf.Q2_K_S.gguf](https://huggingface.co/legraphista/Yuan2-M32-hf-IMat-GGUF/blob/main/Yuan2-M32-hf.Q2_K_S.gguf) | Q2_K_S | 14.05GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [Yuan2-M32-hf.IQ2_XS.gguf](https://huggingface.co/legraphista/Yuan2-M32-hf-IMat-GGUF/blob/main/Yuan2-M32-hf.IQ2_XS.gguf) | IQ2_XS | 12.21GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [Yuan2-M32-hf.IQ2_XXS.gguf](https://huggingface.co/legraphista/Yuan2-M32-hf-IMat-GGUF/blob/main/Yuan2-M32-hf.IQ2_XXS.gguf) | IQ2_XXS | 11.04GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [Yuan2-M32-hf.IQ1_S.gguf](https://huggingface.co/legraphista/Yuan2-M32-hf-IMat-GGUF/blob/main/Yuan2-M32-hf.IQ1_S.gguf) | IQ1_S | 8.70GB | ✅ 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/Yuan2-M32-hf-IMat-GGUF --include \"Yuan2-M32-hf.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/Yuan2-M32-hf-IMat-GGUF --include \"Yuan2-M32-hf.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 Yuan2-M32-hf.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: `Yuan2-M32-hf.Q8_0`)\n3. Run `gguf-split --merge Yuan2-M32-hf.Q8_0/Yuan2-M32-hf.Q8_0-00001-of-XXXXX.gguf Yuan2-M32-hf.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",
    "imatrix",
    "quantization",
    "imat",
    "static",
    "16bit",
    "8bit",
    "6bit",
    "5bit",
    "4bit",
    "3bit",
    "2bit",
    "1bit",
    "text-generation",
    "base_model:IEITYuan/Yuan2-M32-hf",
    "base_model:quantized:IEITYuan/Yuan2-M32-hf",
    "license:apache-2.0",
    "region:us"
  ],
  "likes": 3,
  "downloads": 355,
  "gated": false,
  "private": false,
  "last_modified": "2024-05-30T16:50:26.000Z",
  "created_at": "2024-05-30T10:50:34.000Z",
  "pipeline_tag": "text-generation",
  "library_name": "gguf"
}

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  "id": "legraphista/Yuan2-M32-hf-IMat-GGUF",
  "modelId": "legraphista/Yuan2-M32-hf-IMat-GGUF",
  "sha": "07e64dfef97fe29883afd63572292292a4141ebf",
  "createdAt": "2024-05-30T10:50:34.000Z",
  "lastModified": "2024-05-30T16:50:26.000Z",
  "author": "legraphista",
  "downloads": 355,
  "likes": 3,
  "gated": false,
  "private": false,
  "pipeline_tag": "text-generation",
  "library_name": "gguf",
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