legraphista/hermes-2-theta-llama-3-8b-imat-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "NousResearch/Hermes-2-Theta-Llama-3-8B",
    "datasets": [
      "teknium/OpenHermes-2.5"
    ],
    "inference": false,
    "language": [
      "en"
    ],
    "library_name": "gguf",
    "license": "apache-2.0",
    "model-index": [
      {
        "name": "Hermes-2-Pro-Llama-3-Instruct-8B-Merge",
        "results": []
      }
    ],
    "pipeline_tag": "text-generation",
    "quantized_by": "legraphista",
    "tags": [
      "quantized",
      "GGUF",
      "imatrix",
      "quantization",
      "imat",
      "imatrix",
      "static"
    ],
    "frontmatter": {
      "base_model": "NousResearch/Hermes-2-Theta-Llama-3-8B",
      "datasets": [
        "teknium/OpenHermes-2.5"
      ],
      "inference": "false",
      "language": [
        "en"
      ],
      "library_name": "gguf",
      "license": [
        "name: Hermes-2-Pro-Llama-3-Instruct-8B-Merge"
      ],
      "pipeline_tag": "text-generation",
      "quantized_by": "legraphista",
      "tags": [
        "quantized",
        "GGUF",
        "imatrix",
        "quantization",
        "imat",
        "imatrix",
        "static"
      ]
    },
    "hero_image_url": "",
    "summary": "_Llama.cpp imatrix quantization of NousResearch/Hermes-2-Theta-Llama-3-8B_ Original Model: NousResearch/Hermes-2-Theta-Llama-3-8B Original dtype: BF16 (bfloat16) Quantized by: llama.cpp b3003 IMatrix dataset: here ---",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: NousResearch/Hermes-2-Theta-Llama-3-8B\ndatasets:\n- teknium/OpenHermes-2.5\ninference: false\nlanguage:\n- en\nlibrary_name: gguf\nlicense: apache-2.0\nmodel-index:\n- name: Hermes-2-Pro-Llama-3-Instruct-8B-Merge\n  results: []\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# Hermes-2-Theta-Llama-3-8B-IMat-GGUF\n_Llama.cpp imatrix quantization of NousResearch/Hermes-2-Theta-Llama-3-8B_\n\nOriginal Model: [NousResearch/Hermes-2-Theta-Llama-3-8B](https://huggingface.co/NousResearch/Hermes-2-Theta-Llama-3-8B)  \nOriginal dtype: `BF16` (`bfloat16`)  \nQuantized by: llama.cpp [b3003](https://github.com/ggerganov/llama.cpp/releases/tag/b3003)  \nIMatrix dataset: [here](https://gist.githubusercontent.com/legraphista/d6d93f1a254bcfc58e0af3777eaec41e/raw/d380e7002cea4a51c33fffd47db851942754e7cc/imatrix.calibration.medium.raw)  \n\n- [Hermes-2-Theta-Llama-3-8B-IMat-GGUF](#hermes-2-theta-llama-3-8b-imat-gguf)\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/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/imatrix.dat) \n\n### Common Quants\n| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |\n| -------- | ---------- | --------- | ------ | ------------ | -------- |\n| [Hermes-2-Theta-Llama-3-8B.Q8_0.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.Q8_0.gguf) | Q8_0 | 8.54GB | ✅ Available | ⚪ No | 📦 No\n| [Hermes-2-Theta-Llama-3-8B.Q6_K.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.Q6_K.gguf) | Q6_K | 6.60GB | ✅ Available | ⚪ No | 📦 No\n| [Hermes-2-Theta-Llama-3-8B.Q4_K.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.Q4_K.gguf) | Q4_K | 4.92GB | ✅ Available | 🟢 Yes | 📦 No\n| [Hermes-2-Theta-Llama-3-8B.Q3_K.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.Q3_K.gguf) | Q3_K | 4.02GB | ✅ Available | 🟢 Yes | 📦 No\n| [Hermes-2-Theta-Llama-3-8B.Q2_K.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.Q2_K.gguf) | Q2_K | 3.18GB | ✅ Available | 🟢 Yes | 📦 No\n\n\n### All Quants\n| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |\n| -------- | ---------- | --------- | ------ | ------------ | -------- |\n| [Hermes-2-Theta-Llama-3-8B.FP16.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.FP16.gguf) | F16 | 16.07GB | ✅ Available | ⚪ No | 📦 No\n| [Hermes-2-Theta-Llama-3-8B.BF16.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.BF16.gguf) | BF16 | 16.07GB | ✅ Available | ⚪ No | 📦 No\n| [Hermes-2-Theta-Llama-3-8B.Q5_K.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.Q5_K.gguf) | Q5_K | 5.73GB | ✅ Available | ⚪ No | 📦 No\n| [Hermes-2-Theta-Llama-3-8B.Q5_K_S.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.Q5_K_S.gguf) | Q5_K_S | 5.60GB | ✅ Available | ⚪ No | 📦 No\n| [Hermes-2-Theta-Llama-3-8B.Q4_K_S.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.Q4_K_S.gguf) | Q4_K_S | 4.69GB | ✅ Available | 🟢 Yes | 📦 No\n| [Hermes-2-Theta-Llama-3-8B.Q3_K_L.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.Q3_K_L.gguf) | Q3_K_L | 4.32GB | ✅ Available | 🟢 Yes | 📦 No\n| [Hermes-2-Theta-Llama-3-8B.Q3_K_S.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.Q3_K_S.gguf) | Q3_K_S | 3.66GB | ✅ Available | 🟢 Yes | 📦 No\n| [Hermes-2-Theta-Llama-3-8B.Q2_K_S.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.Q2_K_S.gguf) | Q2_K_S | 2.99GB | ✅ Available | 🟢 Yes | 📦 No\n| [Hermes-2-Theta-Llama-3-8B.IQ4_NL.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.IQ4_NL.gguf) | IQ4_NL | 4.68GB | ✅ Available | 🟢 Yes | 📦 No\n| [Hermes-2-Theta-Llama-3-8B.IQ4_XS.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.IQ4_XS.gguf) | IQ4_XS | 4.45GB | ✅ Available | 🟢 Yes | 📦 No\n| [Hermes-2-Theta-Llama-3-8B.IQ3_M.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.IQ3_M.gguf) | IQ3_M | 3.78GB | ✅ Available | 🟢 Yes | 📦 No\n| [Hermes-2-Theta-Llama-3-8B.IQ3_S.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.IQ3_S.gguf) | IQ3_S | 3.68GB | ✅ Available | 🟢 Yes | 📦 No\n| [Hermes-2-Theta-Llama-3-8B.IQ3_XS.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.IQ3_XS.gguf) | IQ3_XS | 3.52GB | ✅ Available | 🟢 Yes | 📦 No\n| [Hermes-2-Theta-Llama-3-8B.IQ3_XXS.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.IQ3_XXS.gguf) | IQ3_XXS | 3.27GB | ✅ Available | 🟢 Yes | 📦 No\n| [Hermes-2-Theta-Llama-3-8B.IQ2_M.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.IQ2_M.gguf) | IQ2_M | 2.95GB | ✅ Available | 🟢 Yes | 📦 No\n| [Hermes-2-Theta-Llama-3-8B.IQ2_S.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.IQ2_S.gguf) | IQ2_S | 2.76GB | ✅ Available | 🟢 Yes | 📦 No\n| [Hermes-2-Theta-Llama-3-8B.IQ2_XS.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.IQ2_XS.gguf) | IQ2_XS | 2.61GB | ✅ Available | 🟢 Yes | 📦 No\n| [Hermes-2-Theta-Llama-3-8B.IQ2_XXS.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.IQ2_XXS.gguf) | IQ2_XXS | 2.40GB | ✅ Available | 🟢 Yes | 📦 No\n| [Hermes-2-Theta-Llama-3-8B.IQ1_M.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.IQ1_M.gguf) | IQ1_M | 2.16GB | ✅ Available | 🟢 Yes | 📦 No\n| [Hermes-2-Theta-Llama-3-8B.IQ1_S.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.IQ1_S.gguf) | IQ1_S | 2.02GB | ✅ Available | 🟢 Yes | 📦 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/Hermes-2-Theta-Llama-3-8B-IMat-GGUF --include \"Hermes-2-Theta-Llama-3-8B.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/Hermes-2-Theta-Llama-3-8B-IMat-GGUF --include \"Hermes-2-Theta-Llama-3-8B.Q8_0/*\" --local-dir Hermes-2-Theta-Llama-3-8B.Q8_0\n# see FAQ for merging GGUF's\n```\n\n---\n\n## Inference\n\n### Simple chat template\n```\n<|begin_of_text|><|im_start|>user\nCan you provide ways to eat combinations of bananas and dragonfruits?<|im_end|>\n<|im_start|>assistant\nSure! Here are some ways to eat bananas and dragonfruits together:\n 1. Banana and dragonfruit smoothie: Blend bananas and dragonfruits together with some milk and honey.\n 2. Banana and dragonfruit salad: Mix sliced bananas and dragonfruits together with some lemon juice and honey.<|im_end|>\n<|im_start|>user\nWhat about solving an 2x + 3 = 7 equation?<|im_end|>\n\n```\n\n### Chat template with system prompt\n```\n<|begin_of_text|><|im_start|>system\nYou are a helpful AI.<|im_end|>\n<|im_start|>user\nCan you provide ways to eat combinations of bananas and dragonfruits?<|im_end|>\n<|im_start|>assistant\nSure! Here are some ways to eat bananas and dragonfruits together:\n 1. Banana and dragonfruit smoothie: Blend bananas and dragonfruits together with some milk and honey.\n 2. Banana and dragonfruit salad: Mix sliced bananas and dragonfruits together with some lemon juice and honey.<|im_end|>\n<|im_start|>user\nWhat about solving an 2x + 3 = 7 equation?<|im_end|>\n\n```\n\n### Llama.cpp\n```\nllama.cpp/main -m Hermes-2-Theta-Llama-3-8B.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: `Hermes-2-Theta-Llama-3-8B.Q8_0`)\n3. Run `gguf-split --merge Hermes-2-Theta-Llama-3-8B.Q8_0/Hermes-2-Theta-Llama-3-8B.Q8_0-00001-of-XXXXX.gguf Hermes-2-Theta-Llama-3-8B.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",
    "en",
    "dataset:teknium/OpenHermes-2.5",
    "base_model:NousResearch/Hermes-2-Theta-Llama-3-8B",
    "base_model:quantized:NousResearch/Hermes-2-Theta-Llama-3-8B",
    "license:apache-2.0",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 4735,
  "gated": false,
  "private": false,
  "last_modified": "2024-05-26T23:33:24.000Z",
  "created_at": "2024-05-26T22:46:23.000Z",
  "pipeline_tag": "text-generation",
  "library_name": "gguf"
}

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  "createdAt": "2024-05-26T22:46:23.000Z",
  "lastModified": "2024-05-26T23:33:24.000Z",
  "author": "legraphista",
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  "pipeline_tag": "text-generation",
  "library_name": "gguf",
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