mistral-7b-instruct vs open-mistral-7b

The mistralai/mistral-7b-instruct series is a 7B-parameter language model fine-tuned for instruction-based tasks. It supports an extended context window (up to 32K tokens) and can handle function calling, demonstrating strong instruct performance. As an early demonstration, it lacks built-in content moderation mechanisms.

Mistral 7B is a 7.3 billion parameter language model engineered to significantly outperform larger models like Llama 2 13B across all benchmarks and Llama 1 34B on many. It leverages advanced architectural features such as Grouped-query attention for faster inference and Sliding Window Attention for efficient handling of longer sequences, allowing it to approach CodeLlama 7B's performance on coding tasks while maintaining strong English language capabilities.