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mradermacher/qwen2-vl-2b-abliterated-caption-it-i1-gguf overview

About weighted/imatrix quants of https://huggingface.co/prithivMLmods/Qwen2-VL-2B-Abliterated-Caption-it For a convenient overview and download list, visit our model page for this model. static quants are available at https://huggingface.co/mradermacher/Qwen2-VL-2B-Abliterated-Caption-it-GGUF This is a vision model - mmproj files (if any) will be in the static repository.

transformersgguftext-generation-inferenceuncensoredimage-captioningvlmvisual-understandingcaptionimage-to-textendataset:prithivMLmods/Caption3o-XL-v4dataset:prithivMLmods/Caption3o-Opt-v3-Tinydataset:prithivMLmods/Caption3o-LongCap-v4dataset:prithivMLmods/Caption3o-Opt-v3base_model:prithivMLmods/Qwen2-VL-2B-Abliterated-Caption-itbase_model:quantized:prithivMLmods/Qwen2-VL-2B-Abliterated-Caption-itlicense:apache-2.0endpoints_compatibleregion:usimatrixconversational
mradermacher/qwen2-vl-2b-abliterated-caption-it-i1-gguf visual
Downloads
203
Likes
0
Pipeline
image-to-text
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

25 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Qwen2-VL-2B-Abliterated-Caption-it.i1-IQ1_M.gguf GGUF IQ1_M 442.95 MB Download
Qwen2-VL-2B-Abliterated-Caption-it.i1-IQ1_S.gguf GGUF IQ1_S 416.31 MB Download
Qwen2-VL-2B-Abliterated-Caption-it.i1-IQ2_M.gguf GGUF IQ2_M 573.21 MB Download
Qwen2-VL-2B-Abliterated-Caption-it.i1-IQ2_S.gguf GGUF IQ2_S 537.69 MB Download
Qwen2-VL-2B-Abliterated-Caption-it.i1-IQ2_XS.gguf GGUF IQ2_XS 524.83 MB Download
Qwen2-VL-2B-Abliterated-Caption-it.i1-IQ2_XXS.gguf GGUF IQ2_XXS 487.34 MB Download
Qwen2-VL-2B-Abliterated-Caption-it.i1-IQ3_M.gguf GGUF IQ3_M 740.68 MB Download
Qwen2-VL-2B-Abliterated-Caption-it.i1-IQ3_S.gguf GGUF IQ3_S 727.09 MB Download
Qwen2-VL-2B-Abliterated-Caption-it.i1-IQ3_XS.gguf GGUF IQ3_XS 697.80 MB Download
Qwen2-VL-2B-Abliterated-Caption-it.i1-IQ3_XXS.gguf GGUF IQ3_XXS 637.81 MB Download
Qwen2-VL-2B-Abliterated-Caption-it.i1-IQ4_NL.gguf GGUF IQ4_NL 892.96 MB Download
Qwen2-VL-2B-Abliterated-Caption-it.i1-IQ4_XS.gguf GGUF IQ4_XS 854.24 MB Download
Qwen2-VL-2B-Abliterated-Caption-it.i1-Q2_K.gguf GGUF Q2_K 644.98 MB Download
Qwen2-VL-2B-Abliterated-Caption-it.i1-Q2_K_S.gguf GGUF Q2_K_S 610.48 MB Download
Qwen2-VL-2B-Abliterated-Caption-it.i1-Q3_K_L.gguf GGUF Q3_K_L 839.39 MB Download
Qwen2-VL-2B-Abliterated-Caption-it.i1-Q3_K_M.gguf GGUF Q3_K_M 786.00 MB Download
Qwen2-VL-2B-Abliterated-Caption-it.i1-Q3_K_S.gguf GGUF Q3_K_S 725.69 MB Download
Qwen2-VL-2B-Abliterated-Caption-it.i1-Q4_0.gguf GGUF 894.10 MB Download
Qwen2-VL-2B-Abliterated-Caption-it.i1-Q4_1.gguf GGUF 969.74 MB Download
Qwen2-VL-2B-Abliterated-Caption-it.i1-Q4_K_M.gguf GGUF Q4_K_M 940.37 MB Download
Qwen2-VL-2B-Abliterated-Caption-it.i1-Q4_K_S.gguf GGUF Q4_K_S 896.75 MB Download
Qwen2-VL-2B-Abliterated-Caption-it.i1-Q5_K_M.gguf GGUF Q5_K_M 1.05 GB Download
Qwen2-VL-2B-Abliterated-Caption-it.i1-Q5_K_S.gguf GGUF Q5_K_S 1.02 GB Download
Qwen2-VL-2B-Abliterated-Caption-it.i1-Q6_K.gguf GGUF Q6_K 1.19 GB Download
Qwen2-VL-2B-Abliterated-Caption-it.imatrix.gguf GGUF 1.97 MB Download

Model Details Live

Model Slug
mradermacher/qwen2-vl-2b-abliterated-caption-it-i1-gguf
Author
mradermacher
Pipeline Task
image-to-text
Library
transformers
Created
2025-09-16
Last Modified
2025-12-10
Gated
No
Private
No
HF SHA
32d566629ccec6c12990251bd85bbc3dc7071d48
License
apache-2.0
Language
en
Base Model
prithivMLmods/Qwen2-VL-2B-Abliterated-Caption-it

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "prithivMLmods/Qwen2-VL-2B-Abliterated-Caption-it",
    "datasets": [
      "prithivMLmods/Caption3o-XL-v4",
      "prithivMLmods/Caption3o-Opt-v3-Tiny",
      "prithivMLmods/Caption3o-LongCap-v4",
      "prithivMLmods/Caption3o-Opt-v3"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "text-generation-inference",
      "uncensored",
      "image-captioning",
      "vlm",
      "visual-understanding",
      "caption",
      "image-to-text"
    ],
    "frontmatter": {
      "base_model": "prithivMLmods/Qwen2-VL-2B-Abliterated-Caption-it",
      "datasets": [
        "prithivMLmods/Caption3o-XL-v4",
        "prithivMLmods/Caption3o-Opt-v3-Tiny",
        "prithivMLmods/Caption3o-LongCap-v4",
        "prithivMLmods/Caption3o-Opt-v3"
      ],
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "text-generation-inference",
        "uncensored",
        "image-captioning",
        "vlm",
        "visual-understanding",
        "caption",
        "image-to-text"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         weighted/imatrix quants of https://huggingface.co/prithivMLmods/Qwen2-VL-2B-Abliterated-Caption-it  ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/Qwen2-VL-2B-Abliterated-Caption-it-GGUF **This is a vision model - mmproj files (if any) will be in the static repository.**",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: prithivMLmods/Qwen2-VL-2B-Abliterated-Caption-it\ndatasets:\n- prithivMLmods/Caption3o-XL-v4\n- prithivMLmods/Caption3o-Opt-v3-Tiny\n- prithivMLmods/Caption3o-LongCap-v4\n- prithivMLmods/Caption3o-Opt-v3\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- text-generation-inference\n- uncensored\n- image-captioning\n- vlm\n- visual-understanding\n- caption\n- image-to-text\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags: nicoboss -->\n<!-- ### quants:  Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S -->\n<!-- ### quants_skip:  -->\n<!-- ### skip_mmproj:  -->\nweighted/imatrix quants of https://huggingface.co/prithivMLmods/Qwen2-VL-2B-Abliterated-Caption-it\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#Qwen2-VL-2B-Abliterated-Caption-it-i1-GGUF).***\n\nstatic quants are available at https://huggingface.co/mradermacher/Qwen2-VL-2B-Abliterated-Caption-it-GGUF\n\n**This is a vision model - mmproj files (if any) will be in the [static repository](https://huggingface.co/mradermacher/Qwen2-VL-2B-Abliterated-Caption-it-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/Qwen2-VL-2B-Abliterated-Caption-it-i1-GGUF/resolve/main/Qwen2-VL-2B-Abliterated-Caption-it.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-VL-2B-Abliterated-Caption-it-i1-GGUF/resolve/main/Qwen2-VL-2B-Abliterated-Caption-it.i1-IQ1_S.gguf) | i1-IQ1_S | 0.5 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-VL-2B-Abliterated-Caption-it-i1-GGUF/resolve/main/Qwen2-VL-2B-Abliterated-Caption-it.i1-IQ1_M.gguf) | i1-IQ1_M | 0.6 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-VL-2B-Abliterated-Caption-it-i1-GGUF/resolve/main/Qwen2-VL-2B-Abliterated-Caption-it.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 0.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-VL-2B-Abliterated-Caption-it-i1-GGUF/resolve/main/Qwen2-VL-2B-Abliterated-Caption-it.i1-IQ2_XS.gguf) | i1-IQ2_XS | 0.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-VL-2B-Abliterated-Caption-it-i1-GGUF/resolve/main/Qwen2-VL-2B-Abliterated-Caption-it.i1-IQ2_S.gguf) | i1-IQ2_S | 0.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-VL-2B-Abliterated-Caption-it-i1-GGUF/resolve/main/Qwen2-VL-2B-Abliterated-Caption-it.i1-IQ2_M.gguf) | i1-IQ2_M | 0.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-VL-2B-Abliterated-Caption-it-i1-GGUF/resolve/main/Qwen2-VL-2B-Abliterated-Caption-it.i1-Q2_K_S.gguf) | i1-Q2_K_S | 0.7 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-VL-2B-Abliterated-Caption-it-i1-GGUF/resolve/main/Qwen2-VL-2B-Abliterated-Caption-it.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 0.8 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-VL-2B-Abliterated-Caption-it-i1-GGUF/resolve/main/Qwen2-VL-2B-Abliterated-Caption-it.i1-Q2_K.gguf) | i1-Q2_K | 0.8 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-VL-2B-Abliterated-Caption-it-i1-GGUF/resolve/main/Qwen2-VL-2B-Abliterated-Caption-it.i1-IQ3_XS.gguf) | i1-IQ3_XS | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-VL-2B-Abliterated-Caption-it-i1-GGUF/resolve/main/Qwen2-VL-2B-Abliterated-Caption-it.i1-Q3_K_S.gguf) | i1-Q3_K_S | 0.9 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-VL-2B-Abliterated-Caption-it-i1-GGUF/resolve/main/Qwen2-VL-2B-Abliterated-Caption-it.i1-IQ3_S.gguf) | i1-IQ3_S | 0.9 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-VL-2B-Abliterated-Caption-it-i1-GGUF/resolve/main/Qwen2-VL-2B-Abliterated-Caption-it.i1-IQ3_M.gguf) | i1-IQ3_M | 0.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-VL-2B-Abliterated-Caption-it-i1-GGUF/resolve/main/Qwen2-VL-2B-Abliterated-Caption-it.i1-Q3_K_M.gguf) | i1-Q3_K_M | 0.9 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-VL-2B-Abliterated-Caption-it-i1-GGUF/resolve/main/Qwen2-VL-2B-Abliterated-Caption-it.i1-Q3_K_L.gguf) | i1-Q3_K_L | 1.0 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-VL-2B-Abliterated-Caption-it-i1-GGUF/resolve/main/Qwen2-VL-2B-Abliterated-Caption-it.i1-IQ4_XS.gguf) | i1-IQ4_XS | 1.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-VL-2B-Abliterated-Caption-it-i1-GGUF/resolve/main/Qwen2-VL-2B-Abliterated-Caption-it.i1-IQ4_NL.gguf) | i1-IQ4_NL | 1.0 | prefer IQ4_XS |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-VL-2B-Abliterated-Caption-it-i1-GGUF/resolve/main/Qwen2-VL-2B-Abliterated-Caption-it.i1-Q4_0.gguf) | i1-Q4_0 | 1.0 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-VL-2B-Abliterated-Caption-it-i1-GGUF/resolve/main/Qwen2-VL-2B-Abliterated-Caption-it.i1-Q4_K_S.gguf) | i1-Q4_K_S | 1.0 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-VL-2B-Abliterated-Caption-it-i1-GGUF/resolve/main/Qwen2-VL-2B-Abliterated-Caption-it.i1-Q4_K_M.gguf) | i1-Q4_K_M | 1.1 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-VL-2B-Abliterated-Caption-it-i1-GGUF/resolve/main/Qwen2-VL-2B-Abliterated-Caption-it.i1-Q4_1.gguf) | i1-Q4_1 | 1.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-VL-2B-Abliterated-Caption-it-i1-GGUF/resolve/main/Qwen2-VL-2B-Abliterated-Caption-it.i1-Q5_K_S.gguf) | i1-Q5_K_S | 1.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-VL-2B-Abliterated-Caption-it-i1-GGUF/resolve/main/Qwen2-VL-2B-Abliterated-Caption-it.i1-Q5_K_M.gguf) | i1-Q5_K_M | 1.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-VL-2B-Abliterated-Caption-it-i1-GGUF/resolve/main/Qwen2-VL-2B-Abliterated-Caption-it.i1-Q6_K.gguf) | i1-Q6_K | 1.4 | 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. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.\n\n<!-- end -->\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "text-generation-inference",
    "uncensored",
    "image-captioning",
    "vlm",
    "visual-understanding",
    "caption",
    "image-to-text",
    "en",
    "dataset:prithivMLmods/Caption3o-XL-v4",
    "dataset:prithivMLmods/Caption3o-Opt-v3-Tiny",
    "dataset:prithivMLmods/Caption3o-LongCap-v4",
    "dataset:prithivMLmods/Caption3o-Opt-v3",
    "base_model:prithivMLmods/Qwen2-VL-2B-Abliterated-Caption-it",
    "base_model:quantized:prithivMLmods/Qwen2-VL-2B-Abliterated-Caption-it",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ],
  "likes": 0,
  "downloads": 203,
  "gated": false,
  "private": false,
  "last_modified": "2025-12-10T20:58:08.000Z",
  "created_at": "2025-09-16T08:08:46.000Z",
  "pipeline_tag": "image-to-text",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "68c91b0e5301b3e157fa5b33",
  "id": "mradermacher/Qwen2-VL-2B-Abliterated-Caption-it-i1-GGUF",
  "modelId": "mradermacher/Qwen2-VL-2B-Abliterated-Caption-it-i1-GGUF",
  "sha": "32d566629ccec6c12990251bd85bbc3dc7071d48",
  "createdAt": "2025-09-16T08:08:46.000Z",
  "lastModified": "2025-12-10T20:58:08.000Z",
  "author": "mradermacher",
  "downloads": 203,
  "likes": 0,
  "gated": false,
  "private": false,
  "pipeline_tag": "image-to-text",
  "library_name": "transformers",
  "siblings_count": 27
}