Audience
Companies interested a powerful Large Language Model
About Mistral 7B
We tackle the hardest problems to make AI models compute efficient, helpful and trustworthy. We spearhead the family of open models, we give to our users and empower them to contribute their ideas. Mistral-7B-v0.1 is a small, yet powerful model adaptable to many use-cases. Mistral 7B is better than Llama 2 13B on all benchmarks, has natural coding abilities, and 8k sequence length. It’s released under Apache 2.0 license, and we made it easy to deploy on any cloud.
Company Information
Mistral AI
Founded: 2023
France
mistral.ai/
Videos and Screen Captures
Command R
Command’s model outputs come with clear citations that mitigate the risk of hallucinations and enable the surfacing of additional context from the source materials. Command can write product descriptions, help draft emails, suggest example press releases, and much more. Ask Command multiple questions about a document to assign a category to the document, extract a piece of information, or answer a general question about the document. Where answering a few questions about a document can save you a few minutes, doing it for thousands of documents can save a company years. This family of scalable models balances high efficiency with strong accuracy to enable enterprises to move from proof of concept into production-grade AI.
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Command R+
Command R+ is Cohere's newest large language model, optimized for conversational interaction and long-context tasks. It aims at being extremely performant, enabling companies to move beyond proof of concept and into production.
We recommend using Command R+ for those workflows that lean on complex RAG functionality and multi-step tool use (agents). Command R, on the other hand, is great for simpler retrieval augmented generation (RAG) and single-step tool use tasks, as well as applications where price is a major consideration.
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Mathstral
As a tribute to Archimedes, whose 2311th anniversary we’re celebrating this year, we are proud to release our first Mathstral model, a specific 7B model designed for math reasoning and scientific discovery. The model has a 32k context window published under the Apache 2.0 license. We’re contributing Mathstral to the science community to bolster efforts in advanced mathematical problems requiring complex, multi-step logical reasoning. The Mathstral release is part of our broader effort to support academic projects, it was produced in the context of our collaboration with Project Numina. Akin to Isaac Newton in his time, Mathstral stands on the shoulders of Mistral 7B and specializes in STEM subjects. It achieves state-of-the-art reasoning capacities in its size category across various industry-standard benchmarks. In particular, it achieves 56.6% on MATH and 63.47% on MMLU, with the following MMLU performance difference by subject between Mathstral 7B and Mistral 7B.
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Mixtral 8x7B
Mixtral 8x7B is a high-quality sparse mixture of experts model (SMoE) with open weights. Licensed under Apache 2.0. Mixtral outperforms Llama 2 70B on most benchmarks with 6x faster inference. It is the strongest open-weight model with a permissive license and the best model overall regarding cost/performance trade-offs. In particular, it matches or outperforms GPT-3.5 on most standard benchmarks.
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Product Details
Platforms Supported
SaaS
Training
Documentation
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