prithivmlmods/qwen3-vl-8b-abliterated-caption-it-gguf overview

{
  "metadata": {},
  "card_data": {
    "license": "apache-2.0",
    "language": [
      "en",
      "zh",
      "th"
    ],
    "base_model": [
      "prithivMLmods/Qwen3-VL-8B-Abliterated-Caption-it"
    ],
    "pipeline_tag": "image-text-to-text",
    "library_name": "transformers",
    "tags": [
      "text-generation-inference",
      "uncensored",
      "image-captioning",
      "vlm",
      "visual-understanding",
      "caption",
      "image-to-text"
    ],
    "frontmatter": {
      "license": "apache-2.0",
      "language": [
        "en",
        "zh",
        "th"
      ],
      "base_model": [
        "prithivMLmods/Qwen3-VL-8B-Abliterated-Caption-it"
      ],
      "pipeline_tag": "image-text-to-text",
      "library_name": "transformers",
      "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": "# **Qwen3-VL-8B-Abliterated-Caption-it-GGUF** > The Qwen3-VL-8B-Abliterated-Caption-it model is a fine-tuned version of Qwen3-VL-8B-Instruct, tailored for Abliterated Captioning / Uncensored Image Captioning. This variant is designed to generate highly detailed and descriptive captions across a broad range of visual categories, including images with complex, sensitive, or nuanced content—across varying aspect ratios and resolutions.",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nlicense: apache-2.0\nlanguage:\n- en\n- zh\n- th\nbase_model:\n- prithivMLmods/Qwen3-VL-8B-Abliterated-Caption-it\npipeline_tag: image-text-to-text\nlibrary_name: transformers\ntags:\n- text-generation-inference\n- uncensored\n- image-captioning\n- vlm\n- visual-understanding\n- caption\n- image-to-text\n---\n# **Qwen3-VL-8B-Abliterated-Caption-it-GGUF**\n\n> The Qwen3-VL-8B-Abliterated-Caption-it model is a fine-tuned version of Qwen3-VL-8B-Instruct, tailored for Abliterated Captioning / Uncensored Image Captioning. This variant is designed to generate highly detailed and descriptive captions across a broad range of visual categories, including images with complex, sensitive, or nuanced content—across varying aspect ratios and resolutions.\n\n## Model Files\n\n| File Name | Quant Type | File Size |\n| - | - | - |\n| Qwen3-VL-8B-Abliterated-Caption-it.f16.gguf | F16 | 16.4 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.Q2_K.gguf | Q2_K | 3.28 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.Q3_K_L.gguf | Q3_K_L | 4.43 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.Q3_K_M.gguf | Q3_K_M | 4.12 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.Q3_K_S.gguf | Q3_K_S | 3.77 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.Q4_K_M.gguf | Q4_K_M | 5.03 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.Q4_K_S.gguf | Q4_K_S | 4.8 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.Q5_K_M.gguf | Q5_K_M | 5.85 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.Q5_K_S.gguf | Q5_K_S | 5.72 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.Q6_K.gguf | Q6_K | 6.73 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.Q8_0.gguf | Q8_0 | 8.71 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.IQ4_XS.gguf | IQ4_XS | 4.59 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ1_M.gguf | i1-IQ1_M | 2.26 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ1_S.gguf | i1-IQ1_S | 2.12 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ2_M.gguf | i1-IQ2_M | 3.05 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ2_S.gguf | i1-IQ2_S | 2.86 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ2_XS.gguf | i1-IQ2_XS | 2.7 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ2_XXS.gguf | i1-IQ2_XXS | 2.49 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ3_M.gguf | i1-IQ3_M | 3.9 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ3_S.gguf | i1-IQ3_S | 3.79 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ3_XS.gguf | i1-IQ3_XS | 3.63 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ3_XXS.gguf | i1-IQ3_XXS | 3.37 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ4_NL.gguf | i1-IQ4_NL | 4.79 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ4_XS.gguf | i1-IQ4_XS | 4.56 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.i1-Q2_K.gguf | i1-Q2_K | 3.28 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.i1-Q2_K_S.gguf | i1-Q2_K_S | 3.08 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.i1-Q3_K_L.gguf | i1-Q3_K_L | 4.43 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.i1-Q3_K_M.gguf | i1-Q3_K_M | 4.12 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.i1-Q3_K_S.gguf | i1-Q3_K_S | 3.77 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.i1-Q4_0.gguf | i1-Q4_0 | 4.79 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.i1-Q4_1.gguf | i1-Q4_1 | 5.25 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.i1-Q4_K_M.gguf | i1-Q4_K_M | 5.03 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.i1-Q4_K_S.gguf | i1-Q4_K_S | 4.8 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.i1-Q5_K_M.gguf | i1-Q5_K_M | 5.85 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.i1-Q5_K_S.gguf | i1-Q5_K_S | 5.72 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.i1-Q6_K.gguf | i1-Q6_K | 6.73 GB |\n| Qwen3-VL-8B-Abliterated-Caption-it.imatrix.gguf | imatrix | 5.35 MB |\n| Qwen3-VL-8B-Abliterated-Caption-it.mmproj-Q8_0.gguf | mmproj-Q8_0 | 752 MB |\n| Qwen3-VL-8B-Abliterated-Caption-it.mmproj-f16.gguf | mmproj-f16 | 1.16 GB |\n\n## Quants Usage \n\n(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)\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)",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "qwen3_vl",
    "text-generation-inference",
    "uncensored",
    "image-captioning",
    "vlm",
    "visual-understanding",
    "caption",
    "image-to-text",
    "image-text-to-text",
    "en",
    "zh",
    "th",
    "base_model:prithivMLmods/Qwen3-VL-8B-Abliterated-Caption-it",
    "base_model:quantized:prithivMLmods/Qwen3-VL-8B-Abliterated-Caption-it",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 6,
  "downloads": 1631,
  "gated": false,
  "private": false,
  "last_modified": "2025-11-10T08:12:02.000Z",
  "created_at": "2025-11-10T07:21:04.000Z",
  "pipeline_tag": "image-text-to-text",
  "library_name": "transformers"
}

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  "id": "prithivMLmods/Qwen3-VL-8B-Abliterated-Caption-it-GGUF",
  "modelId": "prithivMLmods/Qwen3-VL-8B-Abliterated-Caption-it-GGUF",
  "sha": "8d6a51ea1503af376a54d20d71eaa021bba33e8b",
  "createdAt": "2025-11-10T07:21:04.000Z",
  "lastModified": "2025-11-10T08:12:02.000Z",
  "author": "prithivMLmods",
  "downloads": 1631,
  "likes": 6,
  "gated": false,
  "private": false,
  "pipeline_tag": "image-text-to-text",
  "library_name": "transformers",
  "siblings_count": 42
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