Mixtral 8x22B is the latest open model released by Mistral AI on April 18, 2024. Check here the latest Open LLM Model by Mistral AI along with its features, performance like Reasoning and knowledge, and Capabilities like Multilingual and Maths & Coding.
Mixtral 8x22B
Mixtral 8x22B is the latest open model released by Mistral AI on April 18, 2024. According to the developers, Mixtral 8x22B is based on high scientific standards to make computing efficient, useful, and powerful, with both a strong research focus and a fast-paced entrepreneurial mindset.
According to developers, Mixtral 8x22B sets a new standard for performance and efficiency within the AI community. It is a sparse Mixture-of-Experts (SMoE) model that uses only 39B active parameters out of 141B, offering unparalleled cost efficiency for its size.
Also Read: Arthur Mensch Net Worth: Mistral AI CEO and Co-Founder
The Mixtral 8x22B version shows even better math performance, with a score of 90.8% on GSM8K maj@8 and a Math maj@4 score of 44.6%. This high-performance AI model with outpaces many existing models and will bring many innovations for developers and users across the world. Check out the official document on Mixtral 8x22B
The latest launched Mixtral 8x22B has the following features:
According to the company’s official release, the power of openness and broad distribution to promote innovation and collaboration in AI. Therefore, releasing Mixtral 8x22B under Apache 2.0, the most permissive open-source license, allows anyone to use the model anywhere without restrictions.
Also Read: What is Mistral 8x7B? Performance, Capabilities, and How to Access the Open-Weight Model?
Mixtral 8x22B models offer unmatched cost efficiency for their respective sizes, delivering the best performance-to-cost ratio within models provided by the community.
Mixtral 8x22B is a natural continuation of our open model family. Its sparse activation patterns make it faster than any dense 70B model while being more capable than any other open-weight model (distributed under permissive or restrictive licenses). The base model’s availability makes it an excellent basis for fine-tuning use cases.
Mixtral 8x22B measure of the performance (MMLU) versus inference budget tradeoff (number of active parameters). Mistral 7B, Mixtral 8x7B, and Mixtral 8x22B all belong to a family of highly efficient models compared to the other open models.
Also Read: Mistral 7B Tutorial: A Step-by-Step Guide on How to Use Mistral LLM
Mixtral 8x22B is optimized for reasoning. The model has been tested on widespread common sense, reasoning, and knowledge benchmarks of the top-leading LLM open models: MMLU (Measuring massive multitask language in understanding), HellaSwag (10-shot), Wino Grande (5-shot), Arc Challenge (5-shot), Arc Challenge (25-shot), TriviaQA (5-shot) and NaturalQS (5-shot).
Mixtral 8x22B has native multilingual capabilities. It strongly outperforms LLaMA 2 70B on HellaSwag, Arc Challenge, and MMLU benchmarks in French, German, Spanish, and Italian. Check below the comparison of Mistral open source models and LLaMA 2 70B on HellaSwag, Arc Challenge, and MMLU in French, German, Spanish, and Italian.
Also Read: Grok 1.5 vs Mistral 8x22B vs Claude vs GPT-4 vs Gemini: What are the Benchmark Differences?
Mixtral 8x22B performs best in coding and maths tasks compared to the other open models says the developers who have recently developed the most advanced model of LLM Model. Performance on popular coding and maths benchmarks of the leading open models: HumanEval pass@1, MBPP pass@1, GSM8K maj@1 (5 shot), GSM8K maj@8 (8 shot) and Math maj@4.
The most advanced model of Mistral AI is available for the development test on La Plateforme. To access the Mixtral 8x22B – Click Here. The cost of Mixtral 8x22B is yet to be announced, however, it is expected that after developer tests and feedback incorporation, the enterprise pricing will be announced.
This post was last modified on April 17, 2024 10:10 pm
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