NousResearch/Meta-Llama-3-8B-Instruct

NousResearch/Meta-Llama-3-8B-Instruct is an 8 billion parameter instruction-tuned generative text model developed by Meta, part of the Llama 3 family. Optimized for dialogue use cases, it utilizes an optimized transformer architecture with a context length of 8192 tokens. This model is fine-tuned using supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align with human preferences for helpfulness and safety, outperforming many open-source chat models on common benchmarks.