Ministral-8B-Instruct-2410 is a large language model developed by the Mistral AI team, designed for local intelligence, on-device computation, and edge use cases. It excels among models of similar size, supporting a 128k context window and interleaved sliding window attention mechanism. The model is capable of training on multilingual and code data, supports function calling, and has a vocabulary size of 131k. The Ministral-8B-Instruct-2410 model demonstrates outstanding performance across various benchmarks, including knowledge and common sense, code and mathematics, and multilingual support. Its performance in chat/arena scenarios (as judged by gpt-4o) is particularly impressive, making it adept at handling complex conversations and tasks.