Llama 2 Chat

Meta

Llama 2 Chat 13B is a 13-billion parameter chat model from Meta's Llama 2 series, fine-tuned with instruction data and Reinforcement Learning from Human Feedback (RLHF). It offers a balance between conversational capability, reasoning performance, and resource efficiency, making it suitable for a wide range of dialogue-based applications.

Meta

Llama 2 Chat 70B is Meta's open-source, chat-optimized large language model with 70 billion parameters. It is designed for multi-turn dialogue and excels at complex reasoning and instruction-following tasks.

Meta

Llama 2 Chat 7B is an open-source conversational model from Meta, fine-tuned with instruction following and RLHF for interactive applications. As a smaller 7B parameter model, it offers fast inference speeds and low deployment costs while maintaining strong general capabilities.