Mixtral 8x22B is a groundbreaking AI model that represents a significant leap in performance and efficiency for the AI community. As a sparse Mixture-of-Experts (SMoE) model, it utilizes only 39B active parameters out of a total of 141B, setting a new benchmark for cost efficiency. Its release under the Apache 2.0 license underscores a commitment to openness and innovation, allowing unrestricted use and fostering collaboration.
The model’s sparse activation patterns enable it to outpace dense 70B models in speed while surpassing other open-weight models in capability. Notably, Mixtral 8x22B excels in reasoning, coding, and math tasks, outperforming its peers on industry benchmarks. Its multilingual prowess is evident as it outshines LLaMA 2 70B in French, German, Spanish, and Italian on various benchmarks.
The instructed version of Mixtral 8x22B further enhances its math performance, achieving impressive scores on GSM8K and Math benchmarks. By exploring Mixtral 8x22B on la Plateforme, developers can join a vibrant community shaping the future of AI.