Text Generation
Transformers
Safetensors
English
mistral
Inference Endpoints
text-generation-inference
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@@ -39,8 +39,8 @@ This model is based on Phi-3-Mini-Instruct-4k, and is governed by the MIT licens
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  The base model has 4k context, and the qLoRA fine-tuning was with 4k sequence length.
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- The model's weights were then adjusted to ablate and inhibit refusals based on the methodology described in [Refusal in LLMs is mediated by a single direction](https://www.alignmentforum.org/posts/jGuXSZgv6qfdhMCuJ/refusal-in-llms-is-mediated-by-a-single-direction)'
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- This effectively uncensors the model.
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  It took 2.5 days on 8xL40S node provided by Crusoe Cloud
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  The base model has 4k context, and the qLoRA fine-tuning was with 4k sequence length.
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+ The model's weights were then adjusted to ablate and inhibit refusals based on the methodology described in [Refusal in LLMs is mediated by a single direction](https://www.alignmentforum.org/posts/jGuXSZgv6qfdhMCuJ/refusal-in-llms-is-mediated-by-a-single-direction)'
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+ This effectively uncensors the model.
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  It took 2.5 days on 8xL40S node provided by Crusoe Cloud
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