richarderkhov/blossomsai_-_vmlu-llm-7b-uncensored-gguf overview

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    "hero_image_url": "https://github.com/bloomifycafe/blossomsAI/blob/main/assets/logo.png?raw=true",
    "summary": "### An optimized version of vmlu-llm focused on removing refusal behaviors",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "Quantization made by Richard Erkhov.\n\n[Github](https://github.com/RichardErkhov)\n\n[Discord](https://discord.gg/pvy7H8DZMG)\n\n[Request more models](https://github.com/RichardErkhov/quant_request)\n\n\nvmlu-llm-7B-Uncensored - GGUF\n- Model creator: https://huggingface.co/BlossomsAI/\n- Original model: https://huggingface.co/BlossomsAI/vmlu-llm-7B-Uncensored/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [vmlu-llm-7B-Uncensored.Q2_K.gguf](https://huggingface.co/RichardErkhov/BlossomsAI_-_vmlu-llm-7B-Uncensored-gguf/blob/main/vmlu-llm-7B-Uncensored.Q2_K.gguf) | Q2_K | 2.56GB |\n| [vmlu-llm-7B-Uncensored.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/BlossomsAI_-_vmlu-llm-7B-Uncensored-gguf/blob/main/vmlu-llm-7B-Uncensored.IQ3_XS.gguf) | IQ3_XS | 2.84GB |\n| [vmlu-llm-7B-Uncensored.IQ3_S.gguf](https://huggingface.co/RichardErkhov/BlossomsAI_-_vmlu-llm-7B-Uncensored-gguf/blob/main/vmlu-llm-7B-Uncensored.IQ3_S.gguf) | IQ3_S | 2.99GB |\n| [vmlu-llm-7B-Uncensored.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/BlossomsAI_-_vmlu-llm-7B-Uncensored-gguf/blob/main/vmlu-llm-7B-Uncensored.Q3_K_S.gguf) | Q3_K_S | 2.98GB |\n| [vmlu-llm-7B-Uncensored.IQ3_M.gguf](https://huggingface.co/RichardErkhov/BlossomsAI_-_vmlu-llm-7B-Uncensored-gguf/blob/main/vmlu-llm-7B-Uncensored.IQ3_M.gguf) | IQ3_M | 3.09GB |\n| [vmlu-llm-7B-Uncensored.Q3_K.gguf](https://huggingface.co/RichardErkhov/BlossomsAI_-_vmlu-llm-7B-Uncensored-gguf/blob/main/vmlu-llm-7B-Uncensored.Q3_K.gguf) | Q3_K | 3.31GB |\n| [vmlu-llm-7B-Uncensored.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/BlossomsAI_-_vmlu-llm-7B-Uncensored-gguf/blob/main/vmlu-llm-7B-Uncensored.Q3_K_M.gguf) | Q3_K_M | 3.31GB |\n| [vmlu-llm-7B-Uncensored.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/BlossomsAI_-_vmlu-llm-7B-Uncensored-gguf/blob/main/vmlu-llm-7B-Uncensored.Q3_K_L.gguf) | Q3_K_L | 3.59GB |\n| [vmlu-llm-7B-Uncensored.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/BlossomsAI_-_vmlu-llm-7B-Uncensored-gguf/blob/main/vmlu-llm-7B-Uncensored.IQ4_XS.gguf) | IQ4_XS | 3.71GB |\n| [vmlu-llm-7B-Uncensored.Q4_0.gguf](https://huggingface.co/RichardErkhov/BlossomsAI_-_vmlu-llm-7B-Uncensored-gguf/blob/main/vmlu-llm-7B-Uncensored.Q4_0.gguf) | Q4_0 | 3.86GB |\n| [vmlu-llm-7B-Uncensored.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/BlossomsAI_-_vmlu-llm-7B-Uncensored-gguf/blob/main/vmlu-llm-7B-Uncensored.IQ4_NL.gguf) | IQ4_NL | 3.9GB |\n| [vmlu-llm-7B-Uncensored.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/BlossomsAI_-_vmlu-llm-7B-Uncensored-gguf/blob/main/vmlu-llm-7B-Uncensored.Q4_K_S.gguf) | Q4_K_S | 3.89GB |\n| [vmlu-llm-7B-Uncensored.Q4_K.gguf](https://huggingface.co/RichardErkhov/BlossomsAI_-_vmlu-llm-7B-Uncensored-gguf/blob/main/vmlu-llm-7B-Uncensored.Q4_K.gguf) | Q4_K | 4.1GB |\n| [vmlu-llm-7B-Uncensored.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/BlossomsAI_-_vmlu-llm-7B-Uncensored-gguf/blob/main/vmlu-llm-7B-Uncensored.Q4_K_M.gguf) | Q4_K_M | 4.1GB |\n| [vmlu-llm-7B-Uncensored.Q4_1.gguf](https://huggingface.co/RichardErkhov/BlossomsAI_-_vmlu-llm-7B-Uncensored-gguf/blob/main/vmlu-llm-7B-Uncensored.Q4_1.gguf) | Q4_1 | 4.28GB |\n| [vmlu-llm-7B-Uncensored.Q5_0.gguf](https://huggingface.co/RichardErkhov/BlossomsAI_-_vmlu-llm-7B-Uncensored-gguf/blob/main/vmlu-llm-7B-Uncensored.Q5_0.gguf) | Q5_0 | 4.69GB |\n| [vmlu-llm-7B-Uncensored.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/BlossomsAI_-_vmlu-llm-7B-Uncensored-gguf/blob/main/vmlu-llm-7B-Uncensored.Q5_K_S.gguf) | Q5_K_S | 4.69GB |\n| [vmlu-llm-7B-Uncensored.Q5_K.gguf](https://huggingface.co/RichardErkhov/BlossomsAI_-_vmlu-llm-7B-Uncensored-gguf/blob/main/vmlu-llm-7B-Uncensored.Q5_K.gguf) | Q5_K | 4.82GB |\n| [vmlu-llm-7B-Uncensored.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/BlossomsAI_-_vmlu-llm-7B-Uncensored-gguf/blob/main/vmlu-llm-7B-Uncensored.Q5_K_M.gguf) | Q5_K_M | 4.82GB |\n| [vmlu-llm-7B-Uncensored.Q5_1.gguf](https://huggingface.co/RichardErkhov/BlossomsAI_-_vmlu-llm-7B-Uncensored-gguf/blob/main/vmlu-llm-7B-Uncensored.Q5_1.gguf) | Q5_1 | 5.11GB |\n| [vmlu-llm-7B-Uncensored.Q6_K.gguf](https://huggingface.co/RichardErkhov/BlossomsAI_-_vmlu-llm-7B-Uncensored-gguf/blob/main/vmlu-llm-7B-Uncensored.Q6_K.gguf) | Q6_K | 5.57GB |\n| [vmlu-llm-7B-Uncensored.Q8_0.gguf](https://huggingface.co/RichardErkhov/BlossomsAI_-_vmlu-llm-7B-Uncensored-gguf/blob/main/vmlu-llm-7B-Uncensored.Q8_0.gguf) | Q8_0 | 7.22GB |\n\n\n\n\nOriginal model description:\n---\nlibrary_name: transformers\nlicense: mit\nlanguage:\n- en\n- vi\nbase_model:\n- vtrungnhan9/vmlu-llm\n---\n\n<div align=\"center\">\n<img src=\"https://github.com/bloomifycafe/blossomsAI/blob/main/assets/logo.png?raw=true\" alt=\"Logo\"/>\n</div>\n</br>\n<div align=\"center\">\n\n# 🎯 vmlu-llm-7B-Uncensored\n\n### An optimized version of vmlu-llm focused on removing refusal behaviors\n</div>\n\n## 📌 Overview\n\nA streamlined implementation that removes refusal behaviors from [vtrungnhan9/vmlu-llm](https://huggingface.co/vtrungnhan9/vmlu-llm), based on directional intervention techniques.\n\n## 🔍 Key Features\n- Implements directional intervention for behavior modification\n- Fully quantized for resource-efficient deployment\n\n## 🛠️ Implementation\n\nBased on research findings from [\"Refusal in LLMs is Mediated by a Single Direction\"](https://www.alignmentforum.org/posts/jGuXSZgv6qfdhMCuJ/refusal-in-llms-is-mediated-by-a-single-direction)\n\n## 💫 Quantization\n\nPre-quantized models available in [GGFU](https://huggingface.co/BlossomsAI/vmlu-llm-7B-Uncensored-GGUF) format:\n\n## 🤝 Contributors\n\nDeveloped with ❤️ by [BlossomAI](https://huggingface.co/BlossomsAI)\n\n---\n\n<div align=\"center\">\n<sub>Star ⭐️ this repo if you find it valuable!</sub>\n</div>\n\n\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 127,
  "gated": false,
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  "last_modified": "2025-04-21T11:27:22.000Z",
  "created_at": "2025-04-21T08:17:23.000Z",
  "pipeline_tag": "",
  "library_name": ""
}

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  "createdAt": "2025-04-21T08:17:23.000Z",
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