open-mistral-7b vs jamba-instruct

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.

ai21/jamba-instruct is an instruction-tuned LLM from AI21 Labs, built on the Mamba-Transformer architecture. It provides a 256k-token context window and excels at tasks like summarization, entity extraction, function calling, JSON-based output, and citation. It is specifically designed for enterprise use and top-tier performance across multiple benchmarks.