Codestral is an open-weight generative AI model from Mistral AI designed for code generation, completion, and interaction across 80+ programming languages.
Codestral is Mistral AI's first open-weight generative AI model specifically engineered for code-related tasks. It assists developers in writing and interacting with code through a shared instruction and completion API endpoint. The model is trained on a diverse dataset encompassing over 80 programming languages, including Python, Java, C, C++, JavaScript, Bash, Swift, and Fortran, ensuring broad applicability across various coding environments. Codestral aims to enhance developer productivity by automating tasks such as completing coding functions, writing tests, and filling in partial code using a fill-in-the-middle mechanism. It is presented as a 22B model that offers a strong balance of performance and latency for code generation, featuring a 32k context window. The model's performance has been evaluated across multiple benchmarks for Python, SQL, and other languages, including HumanEval, MBPP, CruxEval, RepoBench, and Spider. It is available for research and testing under a Non-Production License, with commercial licenses available on demand. Developers can access Codestral via a dedicated API endpoint or through the general Mistral AI API, with integrations into popular tools like LlamaIndex, LangChain, Continue.dev, and Tabnine.
Integrations: LlamaIndex, LangChain, Continue.dev (VSCode), Tabnine (VSCode, JetBrains)
Platforms: Web, VSCode Extension, JetBrains Plugin
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