mradermacher/kitchensink_103b-i1-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "MarsupialAI/KitchenSink_103b",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "llama2",
    "quantized_by": "mradermacher",
    "tags": [
      "rp",
      "erp",
      "chat",
      "storywriting"
    ],
    "frontmatter": {
      "base_model": "MarsupialAI/KitchenSink_103b",
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "llama2",
      "quantized_by": "mradermacher",
      "tags": [
        "rp",
        "erp",
        "chat",
        "storywriting"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About weighted/imatrix quants of https://huggingface.co/MarsupialAI/KitchenSink_103b  static quants are available at https://huggingface.co/mradermacher/KitchenSink_103b-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: MarsupialAI/KitchenSink_103b\nlanguage:\n- en\nlibrary_name: transformers\nlicense: llama2\nquantized_by: mradermacher\ntags:\n- rp\n- erp\n- chat\n- storywriting\n---\n## About\n\nweighted/imatrix quants of https://huggingface.co/MarsupialAI/KitchenSink_103b\n\n<!-- provided-files -->\nstatic quants are available at https://huggingface.co/mradermacher/KitchenSink_103b-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/KitchenSink_103b-i1-GGUF/resolve/main/KitchenSink_103b.i1-IQ1_S.gguf) | i1-IQ1_S | 22.1 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/KitchenSink_103b-i1-GGUF/resolve/main/KitchenSink_103b.i1-IQ1_M.gguf) | i1-IQ1_M | 24.2 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/KitchenSink_103b-i1-GGUF/resolve/main/KitchenSink_103b.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 27.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/KitchenSink_103b-i1-GGUF/resolve/main/KitchenSink_103b.i1-IQ2_XS.gguf) | i1-IQ2_XS | 30.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/KitchenSink_103b-i1-GGUF/resolve/main/KitchenSink_103b.i1-IQ2_S.gguf) | i1-IQ2_S | 32.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/KitchenSink_103b-i1-GGUF/resolve/main/KitchenSink_103b.i1-IQ2_M.gguf) | i1-IQ2_M | 35.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/KitchenSink_103b-i1-GGUF/resolve/main/KitchenSink_103b.i1-Q2_K.gguf) | i1-Q2_K | 38.3 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/KitchenSink_103b-i1-GGUF/resolve/main/KitchenSink_103b.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 40.0 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/KitchenSink_103b-i1-GGUF/resolve/main/KitchenSink_103b.i1-IQ3_XS.gguf) | i1-IQ3_XS | 42.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/KitchenSink_103b-i1-GGUF/resolve/main/KitchenSink_103b.i1-Q3_K_S.gguf) | i1-Q3_K_S | 44.9 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/KitchenSink_103b-i1-GGUF/resolve/main/KitchenSink_103b.i1-IQ3_S.gguf) | i1-IQ3_S | 45.0 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/KitchenSink_103b-i1-GGUF/resolve/main/KitchenSink_103b.i1-IQ3_M.gguf) | i1-IQ3_M | 46.5 |  |\n| [PART 1](https://huggingface.co/mradermacher/KitchenSink_103b-i1-GGUF/resolve/main/KitchenSink_103b.i1-Q3_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/KitchenSink_103b-i1-GGUF/resolve/main/KitchenSink_103b.i1-Q3_K_M.gguf.part2of2) | i1-Q3_K_M | 50.0 | IQ3_S probably better |\n| [PART 1](https://huggingface.co/mradermacher/KitchenSink_103b-i1-GGUF/resolve/main/KitchenSink_103b.i1-Q3_K_L.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/KitchenSink_103b-i1-GGUF/resolve/main/KitchenSink_103b.i1-Q3_K_L.gguf.part2of2) | i1-Q3_K_L | 54.5 | IQ3_M probably better |\n| [PART 1](https://huggingface.co/mradermacher/KitchenSink_103b-i1-GGUF/resolve/main/KitchenSink_103b.i1-IQ4_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/KitchenSink_103b-i1-GGUF/resolve/main/KitchenSink_103b.i1-IQ4_XS.gguf.part2of2) | i1-IQ4_XS | 55.5 |  |\n| [PART 1](https://huggingface.co/mradermacher/KitchenSink_103b-i1-GGUF/resolve/main/KitchenSink_103b.i1-Q4_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/KitchenSink_103b-i1-GGUF/resolve/main/KitchenSink_103b.i1-Q4_0.gguf.part2of2) | i1-Q4_0 | 58.8 | fast, low quality |\n| [PART 1](https://huggingface.co/mradermacher/KitchenSink_103b-i1-GGUF/resolve/main/KitchenSink_103b.i1-Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/KitchenSink_103b-i1-GGUF/resolve/main/KitchenSink_103b.i1-Q4_K_S.gguf.part2of2) | i1-Q4_K_S | 59.0 | optimal size/speed/quality |\n| [PART 1](https://huggingface.co/mradermacher/KitchenSink_103b-i1-GGUF/resolve/main/KitchenSink_103b.i1-Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/KitchenSink_103b-i1-GGUF/resolve/main/KitchenSink_103b.i1-Q4_K_M.gguf.part2of2) | i1-Q4_K_M | 62.3 | fast, recommended |\n| [PART 1](https://huggingface.co/mradermacher/KitchenSink_103b-i1-GGUF/resolve/main/KitchenSink_103b.i1-Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/KitchenSink_103b-i1-GGUF/resolve/main/KitchenSink_103b.i1-Q5_K_S.gguf.part2of2) | i1-Q5_K_S | 71.4 |  |\n| [PART 1](https://huggingface.co/mradermacher/KitchenSink_103b-i1-GGUF/resolve/main/KitchenSink_103b.i1-Q5_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/KitchenSink_103b-i1-GGUF/resolve/main/KitchenSink_103b.i1-Q5_K_M.gguf.part2of2) | i1-Q5_K_M | 73.3 |  |\n| [PART 1](https://huggingface.co/mradermacher/KitchenSink_103b-i1-GGUF/resolve/main/KitchenSink_103b.i1-Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/KitchenSink_103b-i1-GGUF/resolve/main/KitchenSink_103b.i1-Q6_K.gguf.part2of2) | i1-Q6_K | 85.1 | practically like static Q6_K |\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",
    "rp",
    "erp",
    "chat",
    "storywriting",
    "en",
    "base_model:MarsupialAI/KitchenSink_103b",
    "base_model:quantized:MarsupialAI/KitchenSink_103b",
    "license:llama2",
    "endpoints_compatible",
    "region:us"
  ],
  "likes": 1,
  "downloads": 116,
  "gated": false,
  "private": false,
  "last_modified": "2024-05-06T05:26:52.000Z",
  "created_at": "2024-04-01T05:09:50.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

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  "id": "mradermacher/KitchenSink_103b-i1-GGUF",
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  "createdAt": "2024-04-01T05:09:50.000Z",
  "lastModified": "2024-05-06T05:26:52.000Z",
  "author": "mradermacher",
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