richarderkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf overview

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    "hero_image_url": "https://huggingface.co/byroneverson/gemma-2-27b-it-abliterated/resolve/main/logo.png \"Logo\"",
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    "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\ngemma-2-27b-it-abliterated - GGUF\n- Model creator: https://huggingface.co/byroneverson/\n- Original model: https://huggingface.co/byroneverson/gemma-2-27b-it-abliterated/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [gemma-2-27b-it-abliterated.Q2_K.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q2_K.gguf) | Q2_K | 9.73GB |\n| [gemma-2-27b-it-abliterated.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.IQ3_XS.gguf) | IQ3_XS | 10.76GB |\n| [gemma-2-27b-it-abliterated.IQ3_S.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.IQ3_S.gguf) | IQ3_S | 11.33GB |\n| [gemma-2-27b-it-abliterated.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q3_K_S.gguf) | Q3_K_S | 11.33GB |\n| [gemma-2-27b-it-abliterated.IQ3_M.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.IQ3_M.gguf) | IQ3_M | 11.6GB |\n| [gemma-2-27b-it-abliterated.Q3_K.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q3_K.gguf) | Q3_K | 12.5GB |\n| [gemma-2-27b-it-abliterated.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q3_K_M.gguf) | Q3_K_M | 12.5GB |\n| [gemma-2-27b-it-abliterated.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q3_K_L.gguf) | Q3_K_L | 13.52GB |\n| [gemma-2-27b-it-abliterated.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.IQ4_XS.gguf) | IQ4_XS | 13.92GB |\n| [gemma-2-27b-it-abliterated.Q4_0.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q4_0.gguf) | Q4_0 | 14.56GB |\n| [gemma-2-27b-it-abliterated.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.IQ4_NL.gguf) | IQ4_NL | 14.65GB |\n| [gemma-2-27b-it-abliterated.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q4_K_S.gguf) | Q4_K_S | 14.66GB |\n| [gemma-2-27b-it-abliterated.Q4_K.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q4_K.gguf) | Q4_K | 15.5GB |\n| [gemma-2-27b-it-abliterated.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q4_K_M.gguf) | Q4_K_M | 15.5GB |\n| [gemma-2-27b-it-abliterated.Q4_1.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q4_1.gguf) | Q4_1 | 16.07GB |\n| [gemma-2-27b-it-abliterated.Q5_0.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q5_0.gguf) | Q5_0 | 17.59GB |\n| [gemma-2-27b-it-abliterated.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q5_K_S.gguf) | Q5_K_S | 17.59GB |\n| [gemma-2-27b-it-abliterated.Q5_K.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q5_K.gguf) | Q5_K | 18.08GB |\n| [gemma-2-27b-it-abliterated.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q5_K_M.gguf) | Q5_K_M | 18.08GB |\n| [gemma-2-27b-it-abliterated.Q5_1.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q5_1.gguf) | Q5_1 | 19.1GB |\n| [gemma-2-27b-it-abliterated.Q6_K.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q6_K.gguf) | Q6_K | 20.81GB |\n| [gemma-2-27b-it-abliterated.Q8_0.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q8_0.gguf) | Q8_0 | 26.95GB |\n\n\n\n\nOriginal model description:\n---\nbase_model: google/gemma-2-27b-it\npipeline_tag: text-generation\nlicense: gemma\nlanguage:\n- en\ntags:\n- gemma\n- gemma-2\n- chat\n- it\n- abliterated\nlibrary_name: transformers\n---\n\n\n\n# gemma-2-27b-it-abliterated\n\n## Now accepting abliteration requests. If you would like to see a model abliterated, follow me and leave me a message with model link.\n\nThis is a new approach for abliterating models using CPU only. I was able to abliterate this model using free kaggle processing with no accelerator.\n1. Obtain refusal direction vector using a quant model with llama.cpp (llama-cpp-python and ggml-python).\n2. Orthogonalize each .safetensors files directly from original repo and upload to a new repo. (one at a time)\n\nCheck out the <a href=\"https://huggingface.co/byroneverson/gemma-2-27b-it-abliterated/blob/main/abliterate-gemma-2-27b-it.ipynb\">jupyter notebook</a> for details of how this model was abliterated from gemma-2-27b-it.\n\n![Logo](https://huggingface.co/byroneverson/gemma-2-27b-it-abliterated/resolve/main/logo.png \"Logo\")\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "endpoints_compatible",
    "region:us",
    "conversational"
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  "last_modified": "2024-09-18T11:58:13.000Z",
  "created_at": "2024-09-18T01:21:01.000Z",
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