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--- |
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base_model: THUDM/glm-4-9b-chat |
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pipeline_tag: text-generation |
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license: other |
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license_name: glm-4 |
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license_link: https://huggingface.co./THUDM/glm-4-9b-chat/blob/main/LICENSE |
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language: |
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- zh |
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- en |
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tags: |
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- glm |
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- chatglm |
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- thudm |
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- chat |
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- abliterated |
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library_name: transformers |
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--- |
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# glm-4-9b-chat-abliterated |
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## Version 1.1 (Updated 9/1/2024): Layer 16 is used for abliteration instead of 20. Refusal mitigation tends to work better with this layer. PCA and cosine similarity tests seem to agree. |
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Check out the <a href="https://huggingface.co./byroneverson/glm-4-9b-chat-abliterated/blob/main/abliterate-glm-4-9b-chat.ipynb">jupyter notebook</a> for details of how this model was abliterated from glm-4-9b-chat. |
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The python package "tiktoken" is required to quantize the model into gguf format. So I had to create <a href="https://huggingface.co./spaces/byroneverson/gguf-my-repo-plus-tiktoken">a fork of GGUF My Repo (+tiktoken)</a>. |
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