💻 programming

Qwen2.5-Coder-1.5B

1.5B parameter code generation model in Qwen2.5-Coder series

#code generation
#Programming assistance
#Open source model
#code fix
#code reasoning
#transformers
Qwen2.5-Coder-1.5B

Product Details

Qwen2.5-Coder-1.5B is a large language model in the Qwen2.5-Coder series, focusing on code generation, code reasoning and code repair. Based on the powerful Qwen2.5, this model has become the leader in the current open source code LLM by expanding the training token to 5.5 trillion, including source code, text code base, synthetic data, etc., with coding capabilities comparable to GPT-4o. In addition, Qwen2.5-Coder-1.5B also strengthens mathematical and general capabilities, providing a more comprehensive foundation for practical applications such as code agents.

Main Features

1
Code generation: Significantly improve code generation capabilities, helping developers quickly write and optimize code.
2
Code reasoning: Enhance the model's understanding of code logic and improve the accuracy of code analysis and reasoning.
3
Code repair: Assist developers to identify and repair errors in the code and improve code quality.
4
Mathematics and general abilities: While maintaining programming abilities, it also strengthens the application of mathematics and general fields.
5
Full 32,768 token context length: supports processing of longer code segments and improves the model's understanding of complex code structures.
6
Based on transformers architecture: Use advanced transformers architecture, including RoPE, SwiGLU, RMSNorm and other technologies to improve model performance.
7
1.54B number of parameters: A large number of parameters enable the model to capture richer code patterns and relationships.

How to Use

1
1. Visit the Hugging Face platform and search for the Qwen2.5-Coder-1.5B model.
2
2. Read the model documentation to understand the specific functions and usage limitations of the model.
3
3. Select appropriate code generation, inference, or repair tasks based on project needs.
4
4. Use the API provided by Hugging Face or download the model to integrate it into the development environment.
5
5. Prepare corresponding code or text data according to the input requirements of the model.
6
6. Submit data to the model and obtain the code or analysis results generated by the model.
7
7. Carry out code optimization or problem repair based on model output.
8
8. Continue iteration and optimization until satisfactory results are achieved.

Target Users

The target audience is developers, programming enthusiasts, and professionals who need to generate and optimize code. Qwen2.5-Coder-1.5B helps them improve development efficiency and reduce errors by providing powerful code generation, reasoning, and repair capabilities. It is an important auxiliary tool in the programming field.

Examples

Developers use Qwen2.5-Coder-1.5B to generate new code segments to speed up the project development process.

During the code review process, Qwen2.5-Coder-1.5B is used to analyze the code logic and discover potential problems.

In the field of education, teachers use Qwen2.5-Coder-1.5B to assist students in understanding complex programming concepts and code structures.

Quick Access

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Categories

💻 programming
› Development and Tools
› code assistant

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