mradermacher/qwen2.5-14b-wernicke-sft-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "CultriX/Qwen2.5-14B-Wernicke-SFT",
    "datasets": [
      "CultriX/uptodate-small",
      "ajibawa-2023/Python-Code-23k-ShareGPT",
      "isaiahbjork/chain-of-thought-sharegpt",
      "shibing624/sharegpt_gpt4",
      "theblackcat102/sharegpt-english"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "quantized_by": "mradermacher",
    "tags": [
      "medical",
      "gpt4",
      "sft",
      "mergekit",
      "merge"
    ],
    "frontmatter": {
      "base_model": "CultriX/Qwen2.5-14B-Wernicke-SFT",
      "datasets": [
        "CultriX/uptodate-small",
        "ajibawa-2023/Python-Code-23k-ShareGPT",
        "isaiahbjork/chain-of-thought-sharegpt",
        "shibing624/sharegpt_gpt4",
        "theblackcat102/sharegpt-english"
      ],
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "quantized_by": "mradermacher",
      "tags": [
        "medical",
        "gpt4",
        "sft",
        "mergekit",
        "merge"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      static quants of https://huggingface.co/CultriX/Qwen2.5-14B-Wernicke-SFT  weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: CultriX/Qwen2.5-14B-Wernicke-SFT\ndatasets:\n- CultriX/uptodate-small\n- ajibawa-2023/Python-Code-23k-ShareGPT\n- isaiahbjork/chain-of-thought-sharegpt\n- shibing624/sharegpt_gpt4\n- theblackcat102/sharegpt-english\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nquantized_by: mradermacher\ntags:\n- medical\n- gpt4\n- sft\n- mergekit\n- merge\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags:  -->\nstatic quants of https://huggingface.co/CultriX/Qwen2.5-14B-Wernicke-SFT\n\n<!-- provided-files -->\nweighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.\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/Qwen2.5-14B-Wernicke-SFT-GGUF/resolve/main/Qwen2.5-14B-Wernicke-SFT.Q2_K.gguf) | Q2_K | 5.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Wernicke-SFT-GGUF/resolve/main/Qwen2.5-14B-Wernicke-SFT.Q3_K_S.gguf) | Q3_K_S | 6.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Wernicke-SFT-GGUF/resolve/main/Qwen2.5-14B-Wernicke-SFT.Q3_K_M.gguf) | Q3_K_M | 7.4 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Wernicke-SFT-GGUF/resolve/main/Qwen2.5-14B-Wernicke-SFT.Q3_K_L.gguf) | Q3_K_L | 8.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Wernicke-SFT-GGUF/resolve/main/Qwen2.5-14B-Wernicke-SFT.IQ4_XS.gguf) | IQ4_XS | 8.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Wernicke-SFT-GGUF/resolve/main/Qwen2.5-14B-Wernicke-SFT.Q4_0_4_4.gguf) | Q4_0_4_4 | 8.6 | fast on arm, low quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Wernicke-SFT-GGUF/resolve/main/Qwen2.5-14B-Wernicke-SFT.Q4_K_S.gguf) | Q4_K_S | 8.7 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Wernicke-SFT-GGUF/resolve/main/Qwen2.5-14B-Wernicke-SFT.Q4_K_M.gguf) | Q4_K_M | 9.1 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Wernicke-SFT-GGUF/resolve/main/Qwen2.5-14B-Wernicke-SFT.Q5_K_S.gguf) | Q5_K_S | 10.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Wernicke-SFT-GGUF/resolve/main/Qwen2.5-14B-Wernicke-SFT.Q5_K_M.gguf) | Q5_K_M | 10.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Wernicke-SFT-GGUF/resolve/main/Qwen2.5-14B-Wernicke-SFT.Q6_K.gguf) | Q6_K | 12.2 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Wernicke-SFT-GGUF/resolve/main/Qwen2.5-14B-Wernicke-SFT.Q8_0.gguf) | Q8_0 | 15.8 | 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",
    "medical",
    "gpt4",
    "sft",
    "mergekit",
    "merge",
    "en",
    "dataset:CultriX/uptodate-small",
    "dataset:ajibawa-2023/Python-Code-23k-ShareGPT",
    "dataset:isaiahbjork/chain-of-thought-sharegpt",
    "dataset:shibing624/sharegpt_gpt4",
    "dataset:theblackcat102/sharegpt-english",
    "base_model:CultriX/Qwen2.5-14B-Wernicke-SFT",
    "base_model:quantized:CultriX/Qwen2.5-14B-Wernicke-SFT",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 1,
  "downloads": 262,
  "gated": false,
  "private": false,
  "last_modified": "2024-11-17T06:58:10.000Z",
  "created_at": "2024-11-17T06:15:26.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

{
  "_id": "673989fef8ab29550bf278f1",
  "id": "mradermacher/Qwen2.5-14B-Wernicke-SFT-GGUF",
  "modelId": "mradermacher/Qwen2.5-14B-Wernicke-SFT-GGUF",
  "sha": "5e9588615f90ef0db6b8b48d08c0bb0338b0730f",
  "createdAt": "2024-11-17T06:15:26.000Z",
  "lastModified": "2024-11-17T06:58:10.000Z",
  "author": "mradermacher",
  "downloads": 262,
  "likes": 1,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "transformers",
  "siblings_count": 14
}