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Codestral
Overview :
Codestral, the first code generation AI model from the Mistral AI team, empowers developers to write and interact with code through shared instructions and completion API endpoints. Trained on over 80 programming languages, including Python, Java, C, C++, JavaScript, and Bash, Codestral can perform coding tasks, generate tests, and utilize a middle-fill mechanism to complete portions of code. Codestral sets a new performance standard with its 32k context window, surpassing all other models on RepoBench, which is significantly larger than competitors' 4k, 8k, or 16k windows. It offers a dedicated API endpoint, codestral.mistral.ai, allowing users to integrate it into their IDEs using Instruct or Fill-In-the-Middle routing and provides a free beta period of 8 weeks. Codestral is also integrated into popular application frameworks like LlamaIndex and LangChain, as well as development environments such as VSCode and JetBrains, enabling developers to generate and interact with code seamlessly within these platforms.
Target Users :
Codestral is designed for software developers looking to improve their coding efficiency and code quality. It helps developers save time and enhance code quality by providing features like code auto-completion, test writing, and error reduction. Furthermore, it supports numerous programming languages and development environments, making it an ideal choice for multilingual projects and team collaboration.
Use Cases
Developer Nate Sesti stated that Codestral's public auto-completion model offers unprecedented speed and quality, promising a transformative impact on global developers.
JetBrains' Vladislav Tankov expressed excitement about Mistral's demonstrated capabilities in coding and development assistance.
Through testing on the Kotlin-HumanEval benchmark, JetBrains researcher Mikhail Evtikhiev achieved a 73.75% pass rate with Codestral, surpassing both GPT-4-Turbo and GPT-3.5-Turbo.
Features
Supports 80+ programming languages, including Python, Java, C, C++, and more.
Can perform coding tasks, write tests, and use a middle-fill mechanism to complete portions of code.
Features a 32k context window, providing superior long-range code generation performance.
Offers a dedicated API endpoint, codestral.mistral.ai, for easy integration into IDEs.
Integrates with application frameworks like LlamaIndex and LangChain, streamlining development workflows.
Works within VSCode and JetBrains environments, enhancing developer productivity.
Allows users to utilize Instruct or Fill-In-the-Middle routing within their IDEs.
Provides an 8-week free beta period for user testing and evaluation.
How to Use
Download and test the Codestral model.
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Obtain Codestral through the HuggingFace platform.
Utilize the dedicated API endpoint codestral.mistral.ai and authenticate using your personal API key.
Create an account on La Plateforme and follow the guidelines to begin using Codestral for building applications.
Integrate Codestral into application frameworks like LlamaIndex and LangChain to simplify development workflows.
Use the Continue.dev and Tabnine plugins within VSCode and JetBrains environments to interact with Codestral.
Engage with Codestral through Le Chat's conversational interface for a natural and intuitive experience.
Refer to the documentation for setup instructions and examples to understand how Codestral works with various integrations.
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