failspy/llama-3-70B-Instruct-abliterated

The failspy/llama-3-70B-Instruct-abliterated model is a 70 billion parameter instruction-tuned language model, derived from Meta's Llama-3-70B-Instruct. This model has undergone specific weight manipulation to orthogonalize the refusal direction, aiming to inhibit the model's tendency to express refusal or lecture on ethics. It maintains the original Llama-3-70B-Instruct tuning in all other aspects, offering an 8192-token context length. Its primary differentiator is the experimental reduction of refusal behaviors, making it suitable for use cases where direct responses are preferred over ethical caveats.