
Mistral
Mistral is a family of powerful large language models (LLMs) developed by the French AI startup Mistral AI.
Description
Mistral is a family of powerful large language models (LLMs) developed by the French AI startup Mistral AI. These models are designed for a wide range of generative AI tasks, excelling in areas such as high-complexity reasoning, knowledge acquisition, and coding capabilities. Mistral AI emphasizes efficiency and performance, with their models often outperforming larger competitors like Llama 2 on various benchmarks. The Mistral models cater to diverse needs, ranging from compact, efficient versions suitable for cost-effective deployments to top-tier models for state-of-the-art performance. They are capable of instruction following, conversational assistance, and can be integrated into various applications. The company also offers specialized models, including those for multimodal tasks like image processing. Accessibility is a key focus, with Mistral models available through their API services, allowing developers to customize, fine-tune, and deploy AI assistants and autonomous agents. Mistral AI has also launched a mobile AI assistant called "Le Chat," making their language models accessible on iOS and Android devices, offering features like multilingual conversation, image generation, and real-time web searches.
Key Features
Tool Details
Developer
Mistral AI
Release
27 September 2023
Category
Chat BotVersion History
Mistral Medium 3Latest
A new AI model focused on efficiency without compromising performance.
Mistral Small 3.1
A versatile model designed to handle a wide range of generative AI tasks, including instruction following and conversational assistance.
Mistral Large 2
An advanced large language model (LLM) with state-of-the-art reasoning, knowledge, and coding capabilities.
View all 5 versions
Mixtral 8x22B
A large model with 141 billion parameters, developed by Mistral AI.
Mistral 7B
The initial model release, which significantly outperforms Llama 2 13B on all benchmarks and is on par with Llama 34B, utilizing Sliding Window Attention (SWA).
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