Qwen2.5-Coder-1.5B-Instruct-GGUF

The Qwen2.5-Coder series features a 1.5B parameter instruction-tuned model.

CommonProductProgrammingCode GenerationCode Reasoning

Qwen2.5-Coder is the latest series of the Qwen large language model, specifically designed for code generation, reasoning, and debugging. Built on the powerful Qwen2.5 framework, it has scaled training tokens to 5.5 trillion, incorporating source code, text code bases, synthetic data, among others. Qwen2.5-Coder-32B has emerged as the most advanced open-source large language model for code, matching the coding capabilities of GPT-4o. This model is a 1.5B parameter instruction-tuned version in GGUF format, featuring causal language modeling, pre-training and post-training phases, and a transformers architecture.

Code Generation: Significantly enhances code generation capabilities
including source code generation
text code bases
and synthetic data.
Code Reasoning: Improves the model's understanding of code logic and structure.
Code Debugging: Increases the model's ability to identify and fix errors and defects in code.
Comprehensive Application: Suitable for practical applications such as coding assistants
enhancing coding skills while maintaining mathematical and general capabilities.
Model Parameters: 1.54B parameters
with 1.31B non-embedding parameters

\This model is aimed at developers and programmers
particularly professionals who need to quickly generate
understand
and debug code in their projects. Qwen2.5-Coder enhances developer productivity
minimizes coding errors

Developers use Qwen2.5-Coder to auto-complete code
increasing coding efficiency.
During code reviews
leverage Qwen2.5-Coder to identify potential code flaws and errors.
In educational settings

1. Install huggingface_hub and llama.cpp to download and run the model.
2. Use huggingface-cli to download the required GGUF file.
3. Follow the official guide to install llama.cpp and ensure you are using the latest version.
4. Launch the model using llama-cli and configure it with the specified command-line parameters.
5. Run the model in chat mode for a chatbot-like interactive experience.

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Qwen2.5-Coder-1.5B-Instruct-GGUF Visit Over Time

Monthly Visits

19075321

Bounce Rate

45.07%

Page per Visit

5.5

Visit Duration

00:05:32

Qwen2.5-Coder-1.5B-Instruct-GGUF Visit Trend

Qwen2.5-Coder-1.5B-Instruct-GGUF Visit Geography

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