base_model: internlm/internlm2_5-20b-chat pipeline_tag: text-generation license: apache-2.0 language:

• en
• zh tags:
• interlm
• internlm2
• internlm2_5
• chat
• it
• abliterated library_name: transformers

internlm2_5-20b-chat-abliterated

This is a new approach for abliterating models using CPU only. I was able to abliterate this model using free kaggle processing with no accelerator.

1. Obtain refusal direction vector using a quant model with llama.cpp (llama-cpp-python and ggml-python).
2. Orthogonalize each .safetensors files directly from original repo and upload to a new repo. (one at a time)

Check out the jupyter notebook for details of how this model was abliterated from internlm2_5-20b-chat.

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