Qwen2.5-Coder-3B-Instruct-GPTQ-Int8
3B parameter instruction tuning model in Qwen2.5-Coder series
Product Details
Qwen2.5-Coder-3B-Instruct-GPTQ-Int8 is a large language model in the Qwen2.5-Coder series, specially optimized for code generation, code reasoning and code repair. The model is based on Qwen2.5, and the training data includes source code, text code association, synthetic data, etc., reaching 5.5 trillion training tokens. Qwen2.5-Coder-32B has become the current most advanced large-scale language model for open source code, and its coding capabilities match GPT-4o. The model also provides a more comprehensive foundation for real-world applications such as code agents, which not only enhance coding capabilities but also maintain advantages in mathematical and general abilities.
Main Features
How to Use
Target Users
The target audience is software developers, programming enthusiasts, and data scientists. This product is suitable for them because it provides powerful code assistance functions that can significantly improve programming efficiency and code quality, while supporting the processing of long code snippets, suitable for complex programming tasks.
Examples
Developers use this model to generate code for sorting algorithms.
Data scientists leverage models for large-scale code analysis and optimization.
Educators integrate models into programming instruction to help students understand and learn code logic.
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