mradermacher/camel-doc-ocr-080125-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "prithivMLmods/Camel-Doc-OCR-080125",
    "datasets": [
      "prithivMLmods/OpenDoc-Pdf-Preview",
      "prithivMLmods/Opendoc1-Analysis-Recognition",
      "allenai/olmOCR-mix-0225",
      "prithivMLmods/Openpdf-Analysis-Recognition"
    ],
    "language": [
      "en",
      "zh"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "Document",
      "KIE",
      "OCR",
      "VL",
      "Openpdf",
      "Camel",
      "text-generation-inference",
      "Extraction",
      "Linking",
      "Markdown",
      ".Md",
      "OpenPDF",
      "OCRmix",
      "trl"
    ],
    "frontmatter": {
      "base_model": "prithivMLmods/Camel-Doc-OCR-080125",
      "datasets": [
        "prithivMLmods/OpenDoc-Pdf-Preview",
        "prithivMLmods/Opendoc1-Analysis-Recognition",
        "allenai/olmOCR-mix-0225",
        "prithivMLmods/Openpdf-Analysis-Recognition"
      ],
      "language": [
        "en",
        "zh"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "Document",
        "KIE",
        "OCR",
        "VL",
        "Openpdf",
        "Camel",
        "text-generation-inference",
        "Extraction",
        "Linking",
        "Markdown",
        ".Md",
        "OpenPDF",
        "OCRmix",
        "trl"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         static quants of https://huggingface.co/prithivMLmods/Camel-Doc-OCR-080125  ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Camel-Doc-OCR-080125-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: prithivMLmods/Camel-Doc-OCR-080125\ndatasets:\n- prithivMLmods/OpenDoc-Pdf-Preview\n- prithivMLmods/Opendoc1-Analysis-Recognition\n- allenai/olmOCR-mix-0225\n- prithivMLmods/Openpdf-Analysis-Recognition\nlanguage:\n- en\n- zh\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- Document\n- KIE\n- OCR\n- VL\n- Openpdf\n- Camel\n- text-generation-inference\n- Extraction\n- Linking\n- Markdown\n- .Md\n- OpenPDF\n- OCRmix\n- trl\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags:  -->\n<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->\n<!-- ### quants_skip:  -->\n<!-- ### skip_mmproj:  -->\nstatic quants of https://huggingface.co/prithivMLmods/Camel-Doc-OCR-080125\n\n<!-- provided-files -->\n\n***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Camel-Doc-OCR-080125-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Camel-Doc-OCR-080125-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/Camel-Doc-OCR-080125-GGUF/resolve/main/Camel-Doc-OCR-080125.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 1.0 | multi-modal supplement |\n| [GGUF](https://huggingface.co/mradermacher/Camel-Doc-OCR-080125-GGUF/resolve/main/Camel-Doc-OCR-080125.mmproj-f16.gguf) | mmproj-f16 | 1.5 | multi-modal supplement |\n| [GGUF](https://huggingface.co/mradermacher/Camel-Doc-OCR-080125-GGUF/resolve/main/Camel-Doc-OCR-080125.Q2_K.gguf) | Q2_K | 3.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/Camel-Doc-OCR-080125-GGUF/resolve/main/Camel-Doc-OCR-080125.Q3_K_S.gguf) | Q3_K_S | 3.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Camel-Doc-OCR-080125-GGUF/resolve/main/Camel-Doc-OCR-080125.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Camel-Doc-OCR-080125-GGUF/resolve/main/Camel-Doc-OCR-080125.Q3_K_L.gguf) | Q3_K_L | 4.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Camel-Doc-OCR-080125-GGUF/resolve/main/Camel-Doc-OCR-080125.IQ4_XS.gguf) | IQ4_XS | 4.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Camel-Doc-OCR-080125-GGUF/resolve/main/Camel-Doc-OCR-080125.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Camel-Doc-OCR-080125-GGUF/resolve/main/Camel-Doc-OCR-080125.Q4_K_M.gguf) | Q4_K_M | 4.8 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Camel-Doc-OCR-080125-GGUF/resolve/main/Camel-Doc-OCR-080125.Q5_K_S.gguf) | Q5_K_S | 5.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Camel-Doc-OCR-080125-GGUF/resolve/main/Camel-Doc-OCR-080125.Q5_K_M.gguf) | Q5_K_M | 5.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Camel-Doc-OCR-080125-GGUF/resolve/main/Camel-Doc-OCR-080125.Q6_K.gguf) | Q6_K | 6.4 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Camel-Doc-OCR-080125-GGUF/resolve/main/Camel-Doc-OCR-080125.Q8_0.gguf) | Q8_0 | 8.2 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/Camel-Doc-OCR-080125-GGUF/resolve/main/Camel-Doc-OCR-080125.f16.gguf) | f16 | 15.3 | 16 bpw, overkill |\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",
    "Document",
    "KIE",
    "OCR",
    "VL",
    "Openpdf",
    "Camel",
    "text-generation-inference",
    "Extraction",
    "Linking",
    "Markdown",
    ".Md",
    "OpenPDF",
    "OCRmix",
    "trl",
    "en",
    "zh",
    "dataset:prithivMLmods/OpenDoc-Pdf-Preview",
    "dataset:prithivMLmods/Opendoc1-Analysis-Recognition",
    "dataset:allenai/olmOCR-mix-0225",
    "dataset:prithivMLmods/Openpdf-Analysis-Recognition",
    "base_model:prithivMLmods/Camel-Doc-OCR-080125",
    "base_model:quantized:prithivMLmods/Camel-Doc-OCR-080125",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 1,
  "downloads": 215,
  "gated": false,
  "private": false,
  "last_modified": "2025-08-01T13:16:22.000Z",
  "created_at": "2025-08-01T13:01:38.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

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  "id": "mradermacher/Camel-Doc-OCR-080125-GGUF",
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  "createdAt": "2025-08-01T13:01:38.000Z",
  "lastModified": "2025-08-01T13:16:22.000Z",
  "author": "mradermacher",
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