legraphista/xlam-8x22b-r-imat-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "Salesforce/xLAM-8x22b-r",
    "datasets": [
      "Salesforce/xlam-function-calling-60k"
    ],
    "extra_gated_button_content": "Agree and access repository",
    "extra_gated_heading": "Acknowledge to follow corresponding license to access the repository",
    "inference": false,
    "language": [
      "en"
    ],
    "library_name": "gguf",
    "license": "cc-by-nc-4.0",
    "pipeline_tag": "text-generation",
    "quantized_by": "legraphista",
    "tags": [
      "function-calling",
      "LLM Agent",
      "tool-use",
      "mistral",
      "pytorch",
      "quantized",
      "GGUF",
      "quantization",
      "imat",
      "imatrix",
      "static",
      "16bit",
      "8bit",
      "6bit",
      "5bit",
      "4bit",
      "3bit",
      "2bit",
      "1bit"
    ],
    "frontmatter": {
      "base_model": "Salesforce/xLAM-8x22b-r",
      "datasets": [
        "Salesforce/xlam-function-calling-60k"
      ],
      "extra_gated_button_content": "Agree and access repository",
      "extra_gated_heading": "Acknowledge to follow corresponding license to access the repository",
      "inference": "false",
      "language": [
        "en"
      ],
      "library_name": "gguf",
      "license": "cc-by-nc-4.0",
      "pipeline_tag": "text-generation",
      "quantized_by": "legraphista",
      "tags": [
        "function-calling",
        "LLM Agent",
        "tool-use",
        "mistral",
        "pytorch",
        "quantized",
        "GGUF",
        "quantization",
        "imat",
        "imatrix",
        "static",
        "16bit",
        "8bit",
        "6bit",
        "5bit",
        "4bit",
        "3bit",
        "2bit",
        "1bit"
      ]
    },
    "hero_image_url": "",
    "summary": "_Llama.cpp imatrix quantization of Salesforce/xLAM-8x22b-r_ Original Model: Salesforce/xLAM-8x22b-r Original dtype: BF16 (bfloat16) Quantized by:  llama.cpp b3649 IMatrix dataset: here ---",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: Salesforce/xLAM-8x22b-r\ndatasets:\n- Salesforce/xlam-function-calling-60k\nextra_gated_button_content: Agree and access repository\nextra_gated_heading: Acknowledge to follow corresponding license to access the repository\ninference: false\nlanguage:\n- en\nlibrary_name: gguf\nlicense: cc-by-nc-4.0\npipeline_tag: text-generation\nquantized_by: legraphista\ntags:\n- function-calling\n- LLM Agent\n- tool-use\n- mistral\n- pytorch\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# xLAM-8x22b-r-IMat-GGUF\n_Llama.cpp imatrix quantization of Salesforce/xLAM-8x22b-r_\n\nOriginal Model: [Salesforce/xLAM-8x22b-r](https://huggingface.co/Salesforce/xLAM-8x22b-r)    \nOriginal dtype: `BF16` (`bfloat16`)  \nQuantized by:  llama.cpp [b3649](https://github.com/ggerganov/llama.cpp/releases/tag/b3649)  \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    - [Simple chat template](#simple-chat-template)\n    - [Chat template with system prompt](#chat-template-with-system-prompt)\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/xLAM-8x22b-r-IMat-GGUF/blob/main/imatrix.dat)\n\n### Common Quants\n| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |\n| -------- | ---------- | --------- | ------ | ------------ | -------- |\n| [xLAM-8x22b-r.Q8_0/*](https://huggingface.co/legraphista/xLAM-8x22b-r-IMat-GGUF/tree/main/xLAM-8x22b-r.Q8_0) | Q8_0 | 149.43GB | ✅ Available | ⚪ Static | ✂ Yes\n| [xLAM-8x22b-r.Q6_K/*](https://huggingface.co/legraphista/xLAM-8x22b-r-IMat-GGUF/tree/main/xLAM-8x22b-r.Q6_K) | Q6_K | 115.54GB | ✅ Available | ⚪ Static | ✂ Yes\n| [xLAM-8x22b-r.Q4_K/*](https://huggingface.co/legraphista/xLAM-8x22b-r-IMat-GGUF/tree/main/xLAM-8x22b-r.Q4_K) | Q4_K | 85.60GB | ✅ Available | 🟢 IMatrix | ✂ Yes\n| [xLAM-8x22b-r.Q3_K/*](https://huggingface.co/legraphista/xLAM-8x22b-r-IMat-GGUF/tree/main/xLAM-8x22b-r.Q3_K) | Q3_K | 67.80GB | ✅ Available | 🟢 IMatrix | ✂ Yes\n| [xLAM-8x22b-r.Q2_K/*](https://huggingface.co/legraphista/xLAM-8x22b-r-IMat-GGUF/tree/main/xLAM-8x22b-r.Q2_K) | Q2_K | 52.11GB | ✅ Available | 🟢 IMatrix | ✂ Yes\n\n\n### All Quants\n| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |\n| -------- | ---------- | --------- | ------ | ------------ | -------- |\n| [xLAM-8x22b-r.BF16/*](https://huggingface.co/legraphista/xLAM-8x22b-r-IMat-GGUF/tree/main/xLAM-8x22b-r.BF16) | BF16 | 281.27GB | ✅ Available | ⚪ Static | ✂ Yes\n| [xLAM-8x22b-r.FP16/*](https://huggingface.co/legraphista/xLAM-8x22b-r-IMat-GGUF/tree/main/xLAM-8x22b-r.FP16) | F16 | 281.27GB | ✅ Available | ⚪ Static | ✂ Yes\n| [xLAM-8x22b-r.Q8_0/*](https://huggingface.co/legraphista/xLAM-8x22b-r-IMat-GGUF/tree/main/xLAM-8x22b-r.Q8_0) | Q8_0 | 149.43GB | ✅ Available | ⚪ Static | ✂ Yes\n| [xLAM-8x22b-r.Q6_K/*](https://huggingface.co/legraphista/xLAM-8x22b-r-IMat-GGUF/tree/main/xLAM-8x22b-r.Q6_K) | Q6_K | 115.54GB | ✅ Available | ⚪ Static | ✂ Yes\n| [xLAM-8x22b-r.Q5_K/*](https://huggingface.co/legraphista/xLAM-8x22b-r-IMat-GGUF/tree/main/xLAM-8x22b-r.Q5_K) | Q5_K | 99.98GB | ✅ Available | ⚪ Static | ✂ Yes\n| [xLAM-8x22b-r.Q5_K_S/*](https://huggingface.co/legraphista/xLAM-8x22b-r-IMat-GGUF/tree/main/xLAM-8x22b-r.Q5_K_S) | Q5_K_S | 96.99GB | ✅ Available | ⚪ Static | ✂ Yes\n| [xLAM-8x22b-r.Q4_K/*](https://huggingface.co/legraphista/xLAM-8x22b-r-IMat-GGUF/tree/main/xLAM-8x22b-r.Q4_K) | Q4_K | 85.60GB | ✅ Available | 🟢 IMatrix | ✂ Yes\n| [xLAM-8x22b-r.Q4_K_S/*](https://huggingface.co/legraphista/xLAM-8x22b-r-IMat-GGUF/tree/main/xLAM-8x22b-r.Q4_K_S) | Q4_K_S | 80.49GB | ✅ Available | 🟢 IMatrix | ✂ Yes\n| [xLAM-8x22b-r.IQ4_NL/*](https://huggingface.co/legraphista/xLAM-8x22b-r-IMat-GGUF/tree/main/xLAM-8x22b-r.IQ4_NL) | IQ4_NL | 79.79GB | ✅ Available | 🟢 IMatrix | ✂ Yes\n| [xLAM-8x22b-r.IQ4_XS/*](https://huggingface.co/legraphista/xLAM-8x22b-r-IMat-GGUF/tree/main/xLAM-8x22b-r.IQ4_XS) | IQ4_XS | 75.49GB | ✅ Available | 🟢 IMatrix | ✂ Yes\n| [xLAM-8x22b-r.Q3_K/*](https://huggingface.co/legraphista/xLAM-8x22b-r-IMat-GGUF/tree/main/xLAM-8x22b-r.Q3_K) | Q3_K | 67.80GB | ✅ Available | 🟢 IMatrix | ✂ Yes\n| [xLAM-8x22b-r.Q3_K_L/*](https://huggingface.co/legraphista/xLAM-8x22b-r-IMat-GGUF/tree/main/xLAM-8x22b-r.Q3_K_L) | Q3_K_L | 72.59GB | ✅ Available | 🟢 IMatrix | ✂ Yes\n| [xLAM-8x22b-r.Q3_K_S/*](https://huggingface.co/legraphista/xLAM-8x22b-r-IMat-GGUF/tree/main/xLAM-8x22b-r.Q3_K_S) | Q3_K_S | 61.51GB | ✅ Available | 🟢 IMatrix | ✂ Yes\n| [xLAM-8x22b-r.IQ3_M/*](https://huggingface.co/legraphista/xLAM-8x22b-r-IMat-GGUF/tree/main/xLAM-8x22b-r.IQ3_M) | IQ3_M | 64.50GB | ✅ Available | 🟢 IMatrix | ✂ Yes\n| [xLAM-8x22b-r.IQ3_S/*](https://huggingface.co/legraphista/xLAM-8x22b-r-IMat-GGUF/tree/main/xLAM-8x22b-r.IQ3_S) | IQ3_S | 61.51GB | ✅ Available | 🟢 IMatrix | ✂ Yes\n| [xLAM-8x22b-r.IQ3_XS/*](https://huggingface.co/legraphista/xLAM-8x22b-r-IMat-GGUF/tree/main/xLAM-8x22b-r.IQ3_XS) | IQ3_XS | 58.24GB | ✅ Available | 🟢 IMatrix | ✂ Yes\n| [xLAM-8x22b-r.IQ3_XXS/*](https://huggingface.co/legraphista/xLAM-8x22b-r-IMat-GGUF/tree/main/xLAM-8x22b-r.IQ3_XXS) | IQ3_XXS | 54.91GB | ✅ Available | 🟢 IMatrix | ✂ Yes\n| [xLAM-8x22b-r.Q2_K/*](https://huggingface.co/legraphista/xLAM-8x22b-r-IMat-GGUF/tree/main/xLAM-8x22b-r.Q2_K) | Q2_K | 52.11GB | ✅ Available | 🟢 IMatrix | ✂ Yes\n| [xLAM-8x22b-r.Q2_K_S/*](https://huggingface.co/legraphista/xLAM-8x22b-r-IMat-GGUF/tree/main/xLAM-8x22b-r.Q2_K_S) | Q2_K_S | 48.10GB | ✅ Available | 🟢 IMatrix | ✂ Yes\n| [xLAM-8x22b-r.IQ2_M/*](https://huggingface.co/legraphista/xLAM-8x22b-r-IMat-GGUF/tree/main/xLAM-8x22b-r.IQ2_M) | IQ2_M | 46.72GB | ✅ Available | 🟢 IMatrix | ✂ Yes\n| [xLAM-8x22b-r.IQ2_S.gguf](https://huggingface.co/legraphista/xLAM-8x22b-r-IMat-GGUF/blob/main/xLAM-8x22b-r.IQ2_S.gguf) | IQ2_S | 42.60GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [xLAM-8x22b-r.IQ2_XS.gguf](https://huggingface.co/legraphista/xLAM-8x22b-r-IMat-GGUF/blob/main/xLAM-8x22b-r.IQ2_XS.gguf) | IQ2_XS | 42.01GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [xLAM-8x22b-r.IQ2_XXS.gguf](https://huggingface.co/legraphista/xLAM-8x22b-r-IMat-GGUF/blob/main/xLAM-8x22b-r.IQ2_XXS.gguf) | IQ2_XXS | 37.89GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [xLAM-8x22b-r.IQ1_M.gguf](https://huggingface.co/legraphista/xLAM-8x22b-r-IMat-GGUF/blob/main/xLAM-8x22b-r.IQ1_M.gguf) | IQ1_M | 32.74GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [xLAM-8x22b-r.IQ1_S.gguf](https://huggingface.co/legraphista/xLAM-8x22b-r-IMat-GGUF/blob/main/xLAM-8x22b-r.IQ1_S.gguf) | IQ1_S | 29.65GB | ✅ 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/xLAM-8x22b-r-IMat-GGUF --include \"xLAM-8x22b-r.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/xLAM-8x22b-r-IMat-GGUF --include \"xLAM-8x22b-r.Q8_0/*\" --local-dir ./\n# see FAQ for merging GGUF's\n```\n\n---\n\n## Inference\n\n### Simple chat template\n```\n<s>[INST] {user_prompt}[/INST] {assistant_response}</s>[INST] {next_user_prompt}[/INST]\n```\n\n### Chat template with system prompt\n```\n<s>[INST] {user_prompt}[/INST] {assistant_response}</s>[INST] {system_prompt}\n\n{next_user_prompt}[/INST]\n```\n\n### Llama.cpp\n```\nllama.cpp/main -m xLAM-8x22b-r.Q8_0.gguf --color -i -p \"prompt here (according to the chat template)\"\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: `xLAM-8x22b-r.Q8_0`)\n3. Run `gguf-split --merge xLAM-8x22b-r.Q8_0/xLAM-8x22b-r.Q8_0-00001-of-XXXXX.gguf xLAM-8x22b-r.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",
    "function-calling",
    "LLM Agent",
    "tool-use",
    "mistral",
    "pytorch",
    "quantized",
    "GGUF",
    "quantization",
    "imat",
    "imatrix",
    "static",
    "16bit",
    "8bit",
    "6bit",
    "5bit",
    "4bit",
    "3bit",
    "2bit",
    "1bit",
    "text-generation",
    "en",
    "dataset:Salesforce/xlam-function-calling-60k",
    "base_model:Salesforce/xLAM-8x22b-r",
    "base_model:quantized:Salesforce/xLAM-8x22b-r",
    "license:cc-by-nc-4.0",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 124,
  "gated": false,
  "private": false,
  "last_modified": "2024-09-01T01:29:32.000Z",
  "created_at": "2024-08-31T12:54:57.000Z",
  "pipeline_tag": "text-generation",
  "library_name": "gguf"
}

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  "id": "legraphista/xLAM-8x22b-r-IMat-GGUF",
  "modelId": "legraphista/xLAM-8x22b-r-IMat-GGUF",
  "sha": "5ddc274060703b0406fc8dfedd920ad87df03b7a",
  "createdAt": "2024-08-31T12:54:57.000Z",
  "lastModified": "2024-09-01T01:29:32.000Z",
  "author": "legraphista",
  "downloads": 124,
  "likes": 0,
  "gated": false,
  "private": false,
  "pipeline_tag": "text-generation",
  "library_name": "gguf",
  "siblings_count": 102
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