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--- |
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base_model: google/gemma-2-27b-it |
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pipeline_tag: text-generation |
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license: apache-2.0 |
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language: |
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- en |
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tags: |
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- gemma |
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- gemma-2 |
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- chat |
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- it |
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- abliterated |
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library_name: transformers |
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--- |
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NOTE: This is a current WIP (work in progress). |
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Abliteration method: |
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1. Obtain refusal direction with llama-cpp-python. |
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2. Orthogonalization performed with torch directly to .safetensors. (one at a time) |
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It is a rather larger model so it may take me another day or two to figure out which layer I should be using for the direction vector. |
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First attempt: Layer 20 was used to obtain refusal direction vector. Refusal mitigation sort of worked but not perfect. |
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Second attempt: (Current) Layer 23 was used (mid-point of model). Half-way has proven to work with other model so this should be fine. |
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# gemma-2-27b-it-abliterated |
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Check 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 glm-4-9b-chat. |
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