Llama 2 7B Chat (FP16)

Llama 2 7B Chat is Meta's 7-billion parameter conversational language model, fine-tuned for dialogue and instruction following using Reinforcement Learning from Human Feedback (RLHF). As part of the Llama 2 family, it brought open-weight models closer to proprietary chat model quality.

The model handles a wide range of conversational tasks including question answering, creative writing, coding assistance, and general chat. It was trained on a mix of publicly available data and fine-tuned with human preference data to produce helpful, safe responses.

Llama 2 7B Chat remains a foundational model in the open AI ecosystem, serving as the base for countless fine-tuned variants and demonstrating that open models can compete with proprietary alternatives.