groxaxo/huihui-gemma-4-31b-it-abliterated-v2-gguf overview

{
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  "card_data": {
    "library_name": "transformers",
    "license": "apache-2.0",
    "license_link": "https://ai.google.dev/gemma/docs/gemma_4_license",
    "pipeline_tag": "any-to-any",
    "base_model": [
      "huihui-ai/Huihui-gemma-4-31B-it-abliterated-v2"
    ],
    "tags": [
      "gguf",
      "imatrix",
      "abliterated",
      "uncensored",
      "any-to-any",
      "image-text-to-text"
    ],
    "frontmatter": {
      "library_name": "transformers",
      "license": "apache-2.0",
      "license_link": "https://ai.google.dev/gemma/docs/gemma_4_license",
      "pipeline_tag": "any-to-any",
      "base_model": [
        "huihui-ai/Huihui-gemma-4-31B-it-abliterated-v2"
      ],
      "tags": [
        "gguf",
        "imatrix",
        "abliterated",
        "uncensored",
        "any-to-any",
        "image-text-to-text"
      ]
    },
    "hero_image_url": "",
    "summary": "GGUF quantizations of huihui-ai/Huihui-gemma-4-31B-it-abliterated-v2, built with llama.cpp from the included imatrix_unsloth.gguf and the tensor distributions in the downloaded recipe bundle. Included files: ### Usage warnings",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nlibrary_name: transformers\nlicense: apache-2.0\nlicense_link: https://ai.google.dev/gemma/docs/gemma_4_license\npipeline_tag: any-to-any\nbase_model:\n- huihui-ai/Huihui-gemma-4-31B-it-abliterated-v2\ntags:\n- gguf\n- imatrix\n- abliterated\n- uncensored\n- any-to-any\n- image-text-to-text\n---\n\n# groxaxo/Huihui-gemma-4-31B-it-abliterated-v2-GGUF\n\nGGUF quantizations of [huihui-ai/Huihui-gemma-4-31B-it-abliterated-v2](https://huggingface.co/huihui-ai/Huihui-gemma-4-31B-it-abliterated-v2), built with `llama.cpp` from the included `imatrix_unsloth.gguf` and the tensor distributions in the downloaded recipe bundle.\n\nIncluded files:\n- `mmproj-BF16.gguf`\n- `imatrix_unsloth.gguf`\n- `Huihui-gemma-4-31B-it-abliterated-v2-UD-IQ2_M.gguf`\n- `Huihui-gemma-4-31B-it-abliterated-v2-UD-IQ2_XXS.gguf`\n- `Huihui-gemma-4-31B-it-abliterated-v2-UD-IQ3_XXS.gguf`\n- `Huihui-gemma-4-31B-it-abliterated-v2-UD-Q2_K_XL.gguf`\n- `Huihui-gemma-4-31B-it-abliterated-v2-UD-Q3_K_XL.gguf`\n- `Huihui-gemma-4-31B-it-abliterated-v2-UD-Q4_K_XL.gguf`\n- `Huihui-gemma-4-31B-it-abliterated-v2-UD-Q5_K_XL.gguf`\n- `Huihui-gemma-4-31B-it-abliterated-v2-UD-Q6_K_XL.gguf`\n- `Huihui-gemma-4-31B-it-abliterated-v2-UD-Q8_K_XL.gguf`\n\n### Usage warnings\n\n- **Risk of Sensitive or Controversial Outputs**: This model’s safety filtering has been significantly reduced, potentially generating sensitive, controversial, or inappropriate content. Users should exercise caution and rigorously review generated outputs.\n- **Not Suitable for All Audiences**: Due to limited content filtering, the model’s outputs may be inappropriate for public settings, underage users, or applications requiring high security.\n- **Legal and Ethical Responsibilities**: Users must ensure their usage complies with local laws and ethical standards. Generated content may carry legal and ethical risks, and users are solely responsible for any consequences.\n- **Research and Experimental Use**: It is recommended to use this model for research, testing, or controlled environments, avoiding direct use in production or public-facing commercial applications.\n- **Monitoring and Review Recommendations**: Users are strongly advised to monitor model outputs in real-time and conduct manual reviews when necessary to prevent the dissemination of inappropriate content.\n- **No Default Safety Guarantees**: Unlike standard models, this model has not undergone rigorous safety optimization.\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "imatrix",
    "abliterated",
    "uncensored",
    "any-to-any",
    "image-text-to-text",
    "base_model:huihui-ai/Huihui-gemma-4-31B-it-abliterated-v2",
    "base_model:quantized:huihui-ai/Huihui-gemma-4-31B-it-abliterated-v2",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 2,
  "downloads": 3445,
  "gated": false,
  "private": false,
  "last_modified": "2026-04-13T14:33:15.000Z",
  "created_at": "2026-04-12T06:54:25.000Z",
  "pipeline_tag": "any-to-any",
  "library_name": "transformers"
}

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  "createdAt": "2026-04-12T06:54:25.000Z",
  "lastModified": "2026-04-13T14:33:15.000Z",
  "author": "groxaxo",
  "downloads": 3445,
  "likes": 2,
  "gated": false,
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  "pipeline_tag": "any-to-any",
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