Qwen2.5-Coder-3B

The 3B parameter model in the Qwen2.5-Coder series focuses on code generation and comprehension.

CommonProductProgrammingCode GenerationCode Reasoning

Qwen2.5-Coder-3B is a large language model within the Qwen2.5-Coder series, emphasizing code generation, reasoning, and debugging. Built on the robust Qwen2.5 architecture, this model significantly improves code generation, reasoning, and debugging capabilities by increasing training tokens to 5.5 trillion, incorporating source code, textual code fundamentals, synthetic data, and more. The Qwen2.5-Coder-32B has become the most advanced open-source code language model available, matching the encoding capabilities of GPT-4o. Furthermore, Qwen2.5-Coder-3B provides a comprehensive foundation for real-world applications like code assistants, enhancing coding capabilities while maintaining strengths in mathematics and general comprehension.

Code Generation: Significantly enhances code generation capabilities
helping developers swiftly fulfill programming tasks.
Code Reasoning: Improves the model's understanding of code logic and increases the accuracy of code analysis.
Code Debugging: Automatically detects and fixes errors in code
improving code quality.
Supports Multiple Programming Languages: Covers mainstream programming languages to meet the diverse needs of developers.
Pre-trained Model: Built on extensive data for pre-training
providing strong language comprehension capabilities.
Open-source Model: As an open-source model
Qwen2.5-Coder-3B can be freely utilized and improved by the community.

The target audience for Qwen2.5-Coder-3B includes developers
programming enthusiasts
and professionals who require code generation and comprehension. This model enhances their programming efficiency
reduces errors
and provides support for complex programming tasks through its powerful code generation and understanding capabilities.

Developers use Qwen2.5-Coder-3B to quickly generate project code frameworks
enhancing development efficiency.
During code reviews
the model is utilized to detect potential code errors and improvement points.
In the education sector

1. Visit the Hugging Face platform and search for the Qwen2.5-Coder-3B model.
2. Read the model documentation to understand its specific usage and parameter settings.
3. Set the model input according to project requirements
such as code snippets or programming problem descriptions.
4. Utilize the model to generate code or conduct code analysis.

Visit

Qwen2.5-Coder-3B Visit Over Time

Monthly Visits

19075321

Bounce Rate

45.07%

Page per Visit

5.5

Visit Duration

00:05:32

Qwen2.5-Coder-3B Visit Trend

Qwen2.5-Coder-3B Visit Geography

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