Qwen2.5-Coder-0.5B-Instruct-GGUF

The 0.5B parameter instruction-tuned model within the Qwen2.5-Coder series.

CommonProductProgrammingCode GenerationCode Inference

Qwen2.5-Coder is the latest series of the Qwen large language model, focusing on code generation, inference, and debugging. Built on the powerful Qwen2.5, the Qwen2.5-Coder-32B has emerged as the state-of-the-art open-source code language model, matching GPT-4o in its coding capabilities. This model offers a comprehensive foundation for practical applications like code assistants, enhancing coding ability while maintaining strengths in mathematics and general skills.

Code Generation: Significantly enhances code generation capabilities
supporting multiple programming languages.
Code Inference: Improves the model's understanding of code logic
increasing inference skills.
Code Debugging: Assists developers in locating and fixing errors in code.
Parameter Variety: Offers different model sizes ranging from 50 million to 3.2 billion parameters to meet the varying needs of developers.
Multi-tasking: In addition to programming capabilities
it retains strengths in mathematics and general domains.
Long Text Handling: Supports a context length of up to 32
768 tokens

\The target audience includes developers and programming enthusiasts
especially those needing assistance with generating
understanding
and fixing code during software development. The Qwen2.5-Coder series models excel in code handling capabilities
helping users improve their development efficiency and code quality.\

Developers use Qwen2.5-Coder to generate new code snippets to expedite the development process.
During code review
Qwen2.5-Coder is employed to infer code logic
thereby improving code quality.
When encountering complex bugs

1. Install huggingface_hub and llama.cpp to download and run the model.
2. Use huggingface-cli to download the required GGUF files.
3. Set up the llama.cpp environment and run the model according to the documentation.
4. Start the model in conversation mode for a chatbot-like interactive experience.
5. Adjust model parameters as needed to optimize performance.

Visit

Qwen2.5-Coder-0.5B-Instruct-GGUF Visit Over Time

Monthly Visits

20899836

Bounce Rate

46.04%

Page per Visit

5.2

Visit Duration

00:04:57

Qwen2.5-Coder-0.5B-Instruct-GGUF Visit Trend

Qwen2.5-Coder-0.5B-Instruct-GGUF Visit Geography

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Qwen2.5-Coder-0.5B-Instruct-GPTQ-Int8 — A 0.5B parameter instruction-tuned model within the Qwen2.5-Coder series.

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Qwen2.5-Coder-0.5B-Instruct-AWQ — Qwen2.5-Coder series 0.5B parameter code generation model.

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Qwen2.5-Coder-0.5B-Instruct — Instruction-tuned 0.5B parameter code generation model in the Qwen2.5-Coder series

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