💻 programming

Qwen2.5-Coder-32B

Qwen2.5-The open source code generation model with the most parameters in the Coder series

#code generation
#Programming assistance
#code fix
#Long text processing
#code reasoning
#Transformers
Qwen2.5-Coder-32B

Product Details

Qwen2.5-Coder-32B is a code generation model based on Qwen2.5. It has 3.2 billion parameters and is one of the models with the most parameters among current open source code language models. It has significant improvements in code generation, code reasoning and code repair, can handle long texts up to 128K tokens, and is suitable for practical application scenarios such as code agency. The model also maintains its advantages in mathematics and general capabilities, supports long text processing, and is a powerful assistant for developers when developing code.

Main Features

1
Code generation: Significantly improve code generation capabilities to match the coding capabilities of GPT-4o.
2
Code reasoning: Enhance code understanding and reasoning capabilities to help developers better understand and maintain code.
3
Code repair: Assist developers to fix errors in the code and improve code quality.
4
Long text support: supports long text processing up to 128K tokens, suitable for processing large projects.
5
Mathematics and general abilities: While maintaining the advantages of programming, you also have abilities in mathematics and general fields.
6
Based on Transformers architecture: Adopt advanced Transformers architecture, including RoPE, SwiGLU, RMSNorm and Attention QKV bias.
7
Model parameters: It has 32.5B parameters, of which non-embedded parameters are 31.0B.
8
Support YaRN technology: Enhance model length extrapolation through YaRN technology and optimize long text processing performance.

How to Use

1
1. Visit the Hugging Face platform and search for the Qwen2.5-Coder-32B model.
2
2. Read the model documentation to learn how to configure and use the model.
3
3. Adjust model parameters according to project requirements, especially YaRN configuration when processing long text.
4
4. Use the API provided by Hugging Face or integrate the model into the local development environment.
5
5. Enter a code-related query or task, and the model will generate the corresponding code or solution.
6
6. Make necessary adjustments and optimizations based on the model output results.
7
7. Apply the code generated by the model in actual projects to improve development efficiency and code quality.

Target Users

The target audience is developers, programmers and software engineers. Qwen2.5-Coder-32B is suitable for them because it provides powerful code generation, reasoning and repair functions, which can help them improve development efficiency, reduce errors, and handle complex programming tasks.

Examples

Developers use Qwen2.5-Coder-32B to generate new code snippets to improve development efficiency.

Software engineers use models to fix bugs in existing code and reduce debugging time.

The team uses the model as a code review tool to identify potential code issues in advance.

Quick Access

Visit Website →

Categories

💻 programming
› code assistant
› Model training and deployment

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