Uncensored models via LORA
Researchers have developed a method using Low-Rank Adaptation (LORA) to uncensor image models, as detailed in a GitHub repository titled 'weightless.' This approach aims to reduce refusals in cyber purposes without significantly altering the model's size or complexity. The technique has not been widely discussed before and could have significant implications for the field of large language models (LLMs). For more details, see: https://github.com/msuiche/weightless
Researchers have developed a method using Low-Rank Adaptation (LORA) to uncensor image models, as detailed in a GitHub repository titled 'weightless.' This approach aims to reduce refusals in cyber purposes without significantly altering the model's size or complexity. The technique has not been widely discussed before and could have significant implications for the field of large language models (LLMs). For more details, see: https://github.com/msuiche/weightless
Sources
- r/LocalLLaMA — Uncensored models via LORA
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