mradermacher/crunchy-onion-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "Epiculous/Crunchy-onion",
    "datasets": [
      "lemonilia/LimaRP",
      "grimulkan/theory-of-mind",
      "Epiculous/Gnosis"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "agpl-3.0",
    "quantized_by": "mradermacher",
    "frontmatter": {
      "base_model": "Epiculous/Crunchy-onion",
      "datasets": [
        "lemonilia/LimaRP",
        "grimulkan/theory-of-mind",
        "Epiculous/Gnosis"
      ],
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "agpl-3.0",
      "quantized_by": "mradermacher"
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About     static quants of https://huggingface.co/Epiculous/Crunchy-onion  weighted/imatrix quants are available at https://huggingface.co/mradermacher/Crunchy-onion-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: Epiculous/Crunchy-onion\ndatasets:\n- lemonilia/LimaRP\n- grimulkan/theory-of-mind\n- Epiculous/Gnosis\nlanguage:\n- en\nlibrary_name: transformers\nlicense: agpl-3.0\nquantized_by: mradermacher\n---\n## About\n\n<!-- ### quantize_version: 1 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type:  -->\n<!-- ### vocab_type:  -->\nstatic quants of https://huggingface.co/Epiculous/Crunchy-onion\n\n<!-- provided-files -->\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Crunchy-onion-i1-GGUF\n## Usage\n\nIf you are unsure how to use GGUF files, refer to one of [TheBloke's\nREADMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for\nmore details, including on how to concatenate multi-part files.\n\n## Provided Quants\n\n(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)\n\n| Link | Type | Size/GB | Notes |\n|:-----|:-----|--------:|:------|\n| [GGUF](https://huggingface.co/mradermacher/Crunchy-onion-GGUF/resolve/main/Crunchy-onion.Q2_K.gguf) | Q2_K | 17.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Crunchy-onion-GGUF/resolve/main/Crunchy-onion.IQ3_XS.gguf) | IQ3_XS | 19.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Crunchy-onion-GGUF/resolve/main/Crunchy-onion.IQ3_S.gguf) | IQ3_S | 20.5 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Crunchy-onion-GGUF/resolve/main/Crunchy-onion.Q3_K_S.gguf) | Q3_K_S | 20.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Crunchy-onion-GGUF/resolve/main/Crunchy-onion.IQ3_M.gguf) | IQ3_M | 21.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Crunchy-onion-GGUF/resolve/main/Crunchy-onion.Q3_K_M.gguf) | Q3_K_M | 22.6 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Crunchy-onion-GGUF/resolve/main/Crunchy-onion.Q3_K_L.gguf) | Q3_K_L | 24.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Crunchy-onion-GGUF/resolve/main/Crunchy-onion.IQ4_XS.gguf) | IQ4_XS | 25.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Crunchy-onion-GGUF/resolve/main/Crunchy-onion.Q4_K_S.gguf) | Q4_K_S | 26.8 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Crunchy-onion-GGUF/resolve/main/Crunchy-onion.Q4_K_M.gguf) | Q4_K_M | 28.5 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Crunchy-onion-GGUF/resolve/main/Crunchy-onion.Q5_K_S.gguf) | Q5_K_S | 32.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Crunchy-onion-GGUF/resolve/main/Crunchy-onion.Q5_K_M.gguf) | Q5_K_M | 33.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Crunchy-onion-GGUF/resolve/main/Crunchy-onion.Q6_K.gguf) | Q6_K | 38.5 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Crunchy-onion-GGUF/resolve/main/Crunchy-onion.Q8_0.gguf) | Q8_0 | 49.7 | fast, best quality |\n\nHere is a handy graph by ikawrakow comparing some lower-quality quant\ntypes (lower is better):\n\n![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)\n\nAnd here are Artefact2's thoughts on the matter:\nhttps://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9\n\n## FAQ / Model Request\n\nSee https://huggingface.co/mradermacher/model_requests for some answers to\nquestions you might have and/or if you want some other model quantized.\n\n## Thanks\n\nI thank my company, [nethype GmbH](https://www.nethype.de/), for letting\nme use its servers and providing upgrades to my workstation to enable\nthis work in my free time.\n\n<!-- end -->\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "en",
    "dataset:lemonilia/LimaRP",
    "dataset:grimulkan/theory-of-mind",
    "dataset:Epiculous/Gnosis",
    "base_model:Epiculous/Crunchy-onion",
    "base_model:quantized:Epiculous/Crunchy-onion",
    "license:agpl-3.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 133,
  "gated": false,
  "private": false,
  "last_modified": "2024-05-05T15:18:35.000Z",
  "created_at": "2024-04-22T10:29:38.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

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  "id": "mradermacher/Crunchy-onion-GGUF",
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  "createdAt": "2024-04-22T10:29:38.000Z",
  "lastModified": "2024-05-05T15:18:35.000Z",
  "author": "mradermacher",
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