mradermacher/chitrapathak-2-gguf overview

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  "card_data": {
    "base_model": "krutrim-ai-labs/Chitrapathak-2",
    "language": [
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    "library_name": "transformers",
    "license": "other",
    "license_link": "LICENSE.md",
    "license_name": "krutrim-community-license-agreement-version-1.0",
    "model_name": "chitrapathak-2",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "ocr",
      "vision-language",
      "indic",
      "finetuned",
      "krutrim",
      "document-ai",
      "image-text-to-text"
    ],
    "frontmatter": {
      "base_model": "krutrim-ai-labs/Chitrapathak-2",
      "language": [
        "hi",
        "sa",
        "bn",
        "ta",
        "te",
        "or",
        "en",
        "ml",
        "mr",
        "kn",
        "pa"
      ],
      "library_name": "transformers",
      "license": "other",
      "license_link": "LICENSE.md",
      "license_name": "krutrim-community-license-agreement-version-1.0",
      "model_name": "chitrapathak-2",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "ocr",
        "vision-language",
        "indic",
        "finetuned",
        "krutrim",
        "document-ai",
        "image-text-to-text"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         static quants of https://huggingface.co/krutrim-ai-labs/Chitrapathak-2  ***For a convenient overview and download list, visit our model page for this model.*** 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: krutrim-ai-labs/Chitrapathak-2\nlanguage:\n- hi\n- sa\n- bn\n- ta\n- te\n- or\n- en\n- ml\n- mr\n- kn\n- pa\nlibrary_name: transformers\nlicense: other\nlicense_link: LICENSE.md\nlicense_name: krutrim-community-license-agreement-version-1.0\nmodel_name: chitrapathak-2\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- ocr\n- vision-language\n- indic\n- finetuned\n- krutrim\n- document-ai\n- image-text-to-text\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/krutrim-ai-labs/Chitrapathak-2\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#Chitrapathak-2-GGUF).***\n\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/Chitrapathak-2-GGUF/resolve/main/Chitrapathak-2.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 0.9 | multi-modal supplement |\n| [GGUF](https://huggingface.co/mradermacher/Chitrapathak-2-GGUF/resolve/main/Chitrapathak-2.mmproj-f16.gguf) | mmproj-f16 | 1.4 | multi-modal supplement |\n| [GGUF](https://huggingface.co/mradermacher/Chitrapathak-2-GGUF/resolve/main/Chitrapathak-2.Q2_K.gguf) | Q2_K | 1.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Chitrapathak-2-GGUF/resolve/main/Chitrapathak-2.Q3_K_S.gguf) | Q3_K_S | 1.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Chitrapathak-2-GGUF/resolve/main/Chitrapathak-2.Q3_K_M.gguf) | Q3_K_M | 1.8 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Chitrapathak-2-GGUF/resolve/main/Chitrapathak-2.Q3_K_L.gguf) | Q3_K_L | 1.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Chitrapathak-2-GGUF/resolve/main/Chitrapathak-2.IQ4_XS.gguf) | IQ4_XS | 2.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Chitrapathak-2-GGUF/resolve/main/Chitrapathak-2.Q4_K_S.gguf) | Q4_K_S | 2.1 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Chitrapathak-2-GGUF/resolve/main/Chitrapathak-2.Q4_K_M.gguf) | Q4_K_M | 2.2 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Chitrapathak-2-GGUF/resolve/main/Chitrapathak-2.Q5_K_S.gguf) | Q5_K_S | 2.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Chitrapathak-2-GGUF/resolve/main/Chitrapathak-2.Q5_K_M.gguf) | Q5_K_M | 2.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Chitrapathak-2-GGUF/resolve/main/Chitrapathak-2.Q6_K.gguf) | Q6_K | 2.9 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Chitrapathak-2-GGUF/resolve/main/Chitrapathak-2.Q8_0.gguf) | Q8_0 | 3.7 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/Chitrapathak-2-GGUF/resolve/main/Chitrapathak-2.f16.gguf) | f16 | 6.9 | 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",
    "ocr",
    "vision-language",
    "indic",
    "finetuned",
    "krutrim",
    "document-ai",
    "image-text-to-text",
    "hi",
    "sa",
    "bn",
    "ta",
    "te",
    "or",
    "en",
    "ml",
    "mr",
    "kn",
    "pa",
    "base_model:krutrim-ai-labs/Chitrapathak-2",
    "base_model:quantized:krutrim-ai-labs/Chitrapathak-2",
    "license:other",
    "endpoints_compatible",
    "region:us",
    "conversational"
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  "last_modified": "2026-03-12T15:54:28.000Z",
  "created_at": "2026-03-12T15:47:51.000Z",
  "pipeline_tag": "image-text-to-text",
  "library_name": "transformers"
}

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