legraphista/phi-3-medium-4k-instruct-imat-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "microsoft/Phi-3-medium-4k-instruct",
    "inference": false,
    "language": [
      "multilingual"
    ],
    "library_name": "gguf",
    "license": "mit",
    "license_link": "https://huggingface.co/microsoft/Phi-3-medium-4k-instruct/resolve/main/LICENSE",
    "pipeline_tag": "text-generation",
    "quantized_by": "legraphista",
    "tags": [
      "quantized",
      "GGUF",
      "imatrix",
      "quantization",
      "imat",
      "imatrix",
      "static"
    ],
    "frontmatter": {
      "base_model": "microsoft/Phi-3-medium-4k-instruct",
      "inference": "false",
      "language": [
        "multilingual"
      ],
      "library_name": "gguf",
      "license": "mit",
      "license_link": "https://huggingface.co/microsoft/Phi-3-medium-4k-instruct/resolve/main/LICENSE",
      "pipeline_tag": "text-generation",
      "quantized_by": "legraphista",
      "tags": [
        "quantized",
        "GGUF",
        "imatrix",
        "quantization",
        "imat",
        "imatrix",
        "static"
      ]
    },
    "hero_image_url": "",
    "summary": "_Llama.cpp imatrix quantization of microsoft/Phi-3-medium-4k-instruct_ Original Model: microsoft/Phi-3-medium-4k-instruct Original dtype: BF16 (bfloat16) Quantized by: llama.cpp b2998 IMatrix dataset: here",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: microsoft/Phi-3-medium-4k-instruct\ninference: false\nlanguage:\n- multilingual\nlibrary_name: gguf\nlicense: mit\nlicense_link: https://huggingface.co/microsoft/Phi-3-medium-4k-instruct/resolve/main/LICENSE\npipeline_tag: text-generation\nquantized_by: legraphista\ntags:\n- quantized\n- GGUF\n- imatrix\n- quantization\n- imat\n- imatrix\n- static\n---\n\n# Phi-3-medium-4k-instruct-IMat-GGUF\n_Llama.cpp imatrix quantization of microsoft/Phi-3-medium-4k-instruct_\n\nOriginal Model: [microsoft/Phi-3-medium-4k-instruct](https://huggingface.co/microsoft/Phi-3-medium-4k-instruct)  \nOriginal dtype: `BF16` (`bfloat16`)  \nQuantized by: llama.cpp [b2998](https://github.com/ggerganov/llama.cpp/releases/tag/b2998)  \nIMatrix dataset: [here](https://gist.githubusercontent.com/legraphista/d6d93f1a254bcfc58e0af3777eaec41e/raw/d380e7002cea4a51c33fffd47db851942754e7cc/imatrix.calibration.medium.raw)  \n\n## Files\n\n### IMatrix\nStatus: ✅ Available  \nLink: [here](https://huggingface.co/legraphista/Phi-3-medium-4k-instruct-IMat-GGUF/blob/main/imatrix.dat) \n\n### Common Quants\n| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |\n| -------- | ---------- | --------- | ------ | ------------ | -------- |\n| [Phi-3-medium-4k-instruct.Q8_0.gguf](https://huggingface.co/legraphista/Phi-3-medium-4k-instruct-IMat-GGUF/blob/main/Phi-3-medium-4k-instruct.Q8_0.gguf) | Q8_0 | 14.83GB | ✅ Available | ⚪ No | 📦 No\n| [Phi-3-medium-4k-instruct.Q6_K.gguf](https://huggingface.co/legraphista/Phi-3-medium-4k-instruct-IMat-GGUF/blob/main/Phi-3-medium-4k-instruct.Q6_K.gguf) | Q6_K | 11.45GB | ✅ Available | ⚪ No | 📦 No\n| [Phi-3-medium-4k-instruct.Q4_K.gguf](https://huggingface.co/legraphista/Phi-3-medium-4k-instruct-IMat-GGUF/blob/main/Phi-3-medium-4k-instruct.Q4_K.gguf) | Q4_K | 8.57GB | ✅ Available | 🟢 Yes | 📦 No\n| [Phi-3-medium-4k-instruct.Q3_K.gguf](https://huggingface.co/legraphista/Phi-3-medium-4k-instruct-IMat-GGUF/blob/main/Phi-3-medium-4k-instruct.Q3_K.gguf) | Q3_K | 6.92GB | ✅ Available | 🟢 Yes | 📦 No\n| [Phi-3-medium-4k-instruct.Q2_K.gguf](https://huggingface.co/legraphista/Phi-3-medium-4k-instruct-IMat-GGUF/blob/main/Phi-3-medium-4k-instruct.Q2_K.gguf) | Q2_K | 5.14GB | ✅ Available | 🟢 Yes | 📦 No\n\n\n### All Quants\n| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |\n| -------- | ---------- | --------- | ------ | ------------ | -------- |\n| [Phi-3-medium-4k-instruct.FP16.gguf](https://huggingface.co/legraphista/Phi-3-medium-4k-instruct-IMat-GGUF/blob/main/Phi-3-medium-4k-instruct.FP16.gguf) | F16 | 27.92GB | ✅ Available | ⚪ No | 📦 No\n| [Phi-3-medium-4k-instruct.BF16.gguf](https://huggingface.co/legraphista/Phi-3-medium-4k-instruct-IMat-GGUF/blob/main/Phi-3-medium-4k-instruct.BF16.gguf) | BF16 | 27.92GB | ✅ Available | ⚪ No | 📦 No\n| [Phi-3-medium-4k-instruct.Q5_K.gguf](https://huggingface.co/legraphista/Phi-3-medium-4k-instruct-IMat-GGUF/blob/main/Phi-3-medium-4k-instruct.Q5_K.gguf) | Q5_K | 10.07GB | ✅ Available | ⚪ No | 📦 No\n| [Phi-3-medium-4k-instruct.Q5_K_S.gguf](https://huggingface.co/legraphista/Phi-3-medium-4k-instruct-IMat-GGUF/blob/main/Phi-3-medium-4k-instruct.Q5_K_S.gguf) | Q5_K_S | 9.62GB | ✅ Available | ⚪ No | 📦 No\n| [Phi-3-medium-4k-instruct.Q4_K_S.gguf](https://huggingface.co/legraphista/Phi-3-medium-4k-instruct-IMat-GGUF/blob/main/Phi-3-medium-4k-instruct.Q4_K_S.gguf) | Q4_K_S | 7.95GB | ✅ Available | 🟢 Yes | 📦 No\n| [Phi-3-medium-4k-instruct.Q3_K_L.gguf](https://huggingface.co/legraphista/Phi-3-medium-4k-instruct-IMat-GGUF/blob/main/Phi-3-medium-4k-instruct.Q3_K_L.gguf) | Q3_K_L | 7.49GB | ✅ Available | 🟢 Yes | 📦 No\n| [Phi-3-medium-4k-instruct.Q3_K_S.gguf](https://huggingface.co/legraphista/Phi-3-medium-4k-instruct-IMat-GGUF/blob/main/Phi-3-medium-4k-instruct.Q3_K_S.gguf) | Q3_K_S | 6.06GB | ✅ Available | 🟢 Yes | 📦 No\n| [Phi-3-medium-4k-instruct.Q2_K_S.gguf](https://huggingface.co/legraphista/Phi-3-medium-4k-instruct-IMat-GGUF/blob/main/Phi-3-medium-4k-instruct.Q2_K_S.gguf) | Q2_K_S | 4.77GB | ✅ Available | 🟢 Yes | 📦 No\n| [Phi-3-medium-4k-instruct.IQ4_NL.gguf](https://huggingface.co/legraphista/Phi-3-medium-4k-instruct-IMat-GGUF/blob/main/Phi-3-medium-4k-instruct.IQ4_NL.gguf) | IQ4_NL | 7.90GB | ✅ Available | 🟢 Yes | 📦 No\n| [Phi-3-medium-4k-instruct.IQ4_XS.gguf](https://huggingface.co/legraphista/Phi-3-medium-4k-instruct-IMat-GGUF/blob/main/Phi-3-medium-4k-instruct.IQ4_XS.gguf) | IQ4_XS | 7.47GB | ✅ Available | 🟢 Yes | 📦 No\n| [Phi-3-medium-4k-instruct.IQ3_M.gguf](https://huggingface.co/legraphista/Phi-3-medium-4k-instruct-IMat-GGUF/blob/main/Phi-3-medium-4k-instruct.IQ3_M.gguf) | IQ3_M | 6.47GB | ✅ Available | 🟢 Yes | 📦 No\n| [Phi-3-medium-4k-instruct.IQ3_S.gguf](https://huggingface.co/legraphista/Phi-3-medium-4k-instruct-IMat-GGUF/blob/main/Phi-3-medium-4k-instruct.IQ3_S.gguf) | IQ3_S | 6.06GB | ✅ Available | 🟢 Yes | 📦 No\n| [Phi-3-medium-4k-instruct.IQ3_XS.gguf](https://huggingface.co/legraphista/Phi-3-medium-4k-instruct-IMat-GGUF/blob/main/Phi-3-medium-4k-instruct.IQ3_XS.gguf) | IQ3_XS | 5.81GB | ✅ Available | 🟢 Yes | 📦 No\n| [Phi-3-medium-4k-instruct.IQ3_XXS.gguf](https://huggingface.co/legraphista/Phi-3-medium-4k-instruct-IMat-GGUF/blob/main/Phi-3-medium-4k-instruct.IQ3_XXS.gguf) | IQ3_XXS | 5.45GB | ✅ Available | 🟢 Yes | 📦 No\n| [Phi-3-medium-4k-instruct.IQ2_M.gguf](https://huggingface.co/legraphista/Phi-3-medium-4k-instruct-IMat-GGUF/blob/main/Phi-3-medium-4k-instruct.IQ2_M.gguf) | IQ2_M | 4.72GB | ✅ Available | 🟢 Yes | 📦 No\n| [Phi-3-medium-4k-instruct.IQ2_S.gguf](https://huggingface.co/legraphista/Phi-3-medium-4k-instruct-IMat-GGUF/blob/main/Phi-3-medium-4k-instruct.IQ2_S.gguf) | IQ2_S | 4.34GB | ✅ Available | 🟢 Yes | 📦 No\n| [Phi-3-medium-4k-instruct.IQ2_XS.gguf](https://huggingface.co/legraphista/Phi-3-medium-4k-instruct-IMat-GGUF/blob/main/Phi-3-medium-4k-instruct.IQ2_XS.gguf) | IQ2_XS | 4.13GB | ✅ Available | 🟢 Yes | 📦 No\n| [Phi-3-medium-4k-instruct.IQ2_XXS.gguf](https://huggingface.co/legraphista/Phi-3-medium-4k-instruct-IMat-GGUF/blob/main/Phi-3-medium-4k-instruct.IQ2_XXS.gguf) | IQ2_XXS | 3.72GB | ✅ Available | 🟢 Yes | 📦 No\n| [Phi-3-medium-4k-instruct.IQ1_M.gguf](https://huggingface.co/legraphista/Phi-3-medium-4k-instruct-IMat-GGUF/blob/main/Phi-3-medium-4k-instruct.IQ1_M.gguf) | IQ1_M | 3.24GB | ✅ Available | 🟢 Yes | 📦 No\n| [Phi-3-medium-4k-instruct.IQ1_S.gguf](https://huggingface.co/legraphista/Phi-3-medium-4k-instruct-IMat-GGUF/blob/main/Phi-3-medium-4k-instruct.IQ1_S.gguf) | IQ1_S | 2.96GB | ✅ Available | 🟢 Yes | 📦 No\n\n\n## Downloading using huggingface-cli\nFirst, make sure you have hugginface-cli installed:\n```\npip install -U \"huggingface_hub[cli]\"\n```\nThen, you can target the specific file you want:\n```\nhuggingface-cli download legraphista/Phi-3-medium-4k-instruct-IMat-GGUF --include \"Phi-3-medium-4k-instruct.Q8_0.gguf\" --local-dir ./\n```\nIf the model is bigger than 50GB, it will have been split into multiple files. In order to download them all to a local folder, run:\n```\nhuggingface-cli download legraphista/Phi-3-medium-4k-instruct-IMat-GGUF --include \"Phi-3-medium-4k-instruct.Q8_0/*\" --local-dir Phi-3-medium-4k-instruct.Q8_0\n# see FAQ for merging GGUF's\n```\n\n---\n\n\n## Inference\n\n### Simple chat template\n```\n<s><|user|>\nI am going to Paris, what should I see?<|end|>\n<|assistant|>\nParis, the capital of France, is known for its stunning architecture, art museums, historical landmarks, and romantic atmosphere. Here are some of the top attractions to see in Paris:\n\n1. The Eiffel Tower: The iconic Eiffel Tower is one of the most recognizable landmarks in the world and offers breathtaking views of the city.\n2. The Louvre Museum: The Louvre is one of the world's largest and most famous museums, housing an impressive collection of art and artifacts, including the Mona Lisa.\n3. Notre-Dame Cathedral: This beautiful cathedral is one of the most famous landmarks in Paris and is known for its Gothic architecture and stunning stained glass windows.\n\nThese are just a few of the many attractions that Paris has to offer. With so much to see and do, it's no wonder that Paris is one of the most popular tourist destinations in the world.\"<|end|>\n<|user|>\nWhat is so great about #1?<|end|>\n<|assistant|>\n```\n\n### Llama.cpp\n```\nllama.cpp/main -m Phi-3-medium-4k-instruct.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: `Phi-3-medium-4k-instruct.Q8_0`)\n3. Run `gguf-split --merge Phi-3-medium-4k-instruct.Q8_0/Phi-3-medium-4k-instruct.Q8_0-00001-of-XXXXX.gguf Phi-3-medium-4k-instruct.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",
    "text-generation",
    "multilingual",
    "base_model:microsoft/Phi-3-medium-4k-instruct",
    "base_model:quantized:microsoft/Phi-3-medium-4k-instruct",
    "license:mit",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 204,
  "gated": false,
  "private": false,
  "last_modified": "2024-05-26T17:14:33.000Z",
  "created_at": "2024-05-26T09:42:20.000Z",
  "pipeline_tag": "text-generation",
  "library_name": "gguf"
}

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