778: Mixtral 8x22B: SOTA Open-Source LLM Capabilities at a Fraction of the Compute — with Jon Krohn

Benchmarking

The Mixtral 8x22B model from Mistral is setting new standards in AI with its impressive benchmark performance. Jon Krohn highlights that it surpasses previous models, including the 8x7B mixture of experts model, by achieving high scores across natural language, reasoning, and knowledge benchmarks 1. This model not only excels in English but also outperforms other open-source models in French, German, Spanish, and Italian tasks, as well as coding and math benchmarks.

Mixtral 8x22B is an important update from Mistral for data scientists and software developers all over the world.

--- Jon Krohn

Moreover, its Apache 2.0 open-source license allows unrestricted use, making it a cost-effective option for production compared to models like Llama 70B 1.

   

Multilingual

Mixtral 8x22B's multilingual capabilities are noteworthy, particularly in non-English languages. Jon Krohn explains that the model excels in French, German, Spanish, and Italian, outperforming other open-source models in these languages 1. Its robust context window of 64,000 tokens and native function-calling ability enable seamless integration into software applications, allowing for natural language requests from users.

It allows anyone anywhere to use Mixtral 8x22B without any limitations whatsoever.

--- Jon Krohn

This feature positions Mixtral 8x22B as a versatile tool for developers aiming to modernize their software with state-of-the-art language model capabilities 1.