

Codestral 22B V0.1
Overview :
Codestral-22B-v0.1 is a large language model developed by Mistral AI Team. It has been trained on 80+ programming languages, including Python, Java, C, C++, JavaScript, and Bash. The model can generate code based on instructions, or explain and refactor code snippets. It also supports Fill in the Middle (FIM) functionality, used to predict the middle part of code, especially suitable for software development tool plugins, such as VS Code. The model currently does not have a content moderation mechanism, but the development team is seeking community collaboration to enable deployment in environments requiring content moderation.
Target Users :
Target audience is software developers, programming educators, and researchers. This model can help developers generate code quickly and improve development efficiency, and can also be used for teaching and research, helping students and researchers better understand and learn programming languages.
Use Cases
Generate a Fibonacci sequence function written in Rust language
Explain and refactor a Python code snippet
As a VS Code plugin, automatically complete the code
Features
Code generation and query support for 80+ programming languages
As an instruction model, it can answer questions about code snippets
Supports Fill in the Middle (FIM) functionality to predict the middle part of the code
Suitable for software development plugins like VS Code
Model training details and more information can be found on the official blog.
How to Use
Step 1: Install the mistral_inference environment
Step 2: Install mistral_common using pip, ensure the version is greater than or equal to 1.2
Step 3: Import necessary modules, such as Transformer, generate, etc.
Step 4: Set the model path and initialize Tokenizer
Step 5: Define the prefix and suffix of the code
Step 6: Create FIM request and encode
Step 7: Use the model to generate intermediate code
Step 8: Decode and output the generated code
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