Qwen2.5-Coder-1.5B-Instruct-GGUF
| Property | Value |
|---|---|
| Parameter Count | 1.54B |
| License | CreativeML OpenRAIL-M |
| Base Model | Qwen2.5-Coder-1.5B-Instruct |
| Available Formats | F16, Q4, Q5, Q8 GGUF |
What is Qwen2.5-Coder-1.5B-Instruct-GGUF?
Qwen2.5-Coder-1.5B-Instruct-GGUF is a specialized coding-focused language model that has been optimized for efficient deployment through the GGUF format. This model represents a significant advancement in making powerful coding assistants more accessible and deployable across various platforms, particularly through tools like Ollama.
Implementation Details
The model comes in multiple quantization variants to suit different deployment needs: F16 (3.09GB), Q4_K_M (986MB), Q5_K_M (1.13GB), and Q8_0 (1.65GB). This flexibility allows users to balance between model size and performance based on their specific requirements.
- Full F16 precision for maximum accuracy
- Q4 quantization for minimal size requirements
- Q5 and Q8 options for balanced performance
- Optimized for Llama.cpp and Ollama deployment
Core Capabilities
- Code generation and completion
- Programming assistance and documentation
- Efficient deployment through Ollama integration
- Support for various precision levels to match hardware capabilities
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its efficient implementation of the Qwen2.5 architecture specifically for coding tasks, while offering multiple quantization options that make it highly deployable across different hardware configurations.
Q: What are the recommended use cases?
The model is ideal for code generation, programming assistance, and development workflows where local deployment and quick response times are crucial. It's particularly well-suited for integration with Ollama for streamlined deployment.
