Qwen2.5-Coder-32B-Instruct-GGUF
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Qwen2.5 Coder 32B Instruct GGUF
Overview :
Qwen2.5-Coder is a model specifically designed for code generation, significantly improving capabilities in this area, with a variety of parameter sizes and support for quantization. It is free and enhances efficiency and quality for developers.
Target Users :
The target audience includes developers and programmers, aiming to enhance development efficiency and code quality by addressing code generation, comprehension, and repair needs.
Total Visits: 29.7M
Top Region: US(17.94%)
Website Views : 50.2K
Use Cases
Automatically generate missing code segments for developers
Analyze code review logic
Assist students in understanding code structure
Features
Powerful code generation capabilities
Enhanced code reasoning abilities
Assistance in code repair
Support for long contexts
Multiple parameter sizes available
Based on advanced architecture
Offers quantized versions
How to Use
1. Install huggingface_hub and llama.cpp.
2. Use huggingface-cli to download the GGUF file.
3. If the file is split, merge it using llama-gguf-split.
4. Start the model using llama-cli.
5. Interact with the model to ask coding questions.
6. Evaluate the results and make adjustments.
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