Meta: Llama 2 70B Chat

The flagship, 70 billion parameter language model from Meta, fine tuned for chat completions. Llama 2 is an auto-regressive language model that uses an optimized transformer architecture. The tuned versions use supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align to human preferences for helpfulness and safety.

• Context window: 4,096 tokens
• Input: text
• Output: text

View on OpenRouter. Model data sourced from OpenRouter.