Qwen2.5-Coder-14B-Instruct-F16-GGUF
| Property | Value |
|---|---|
| Parameter Count | 14.8B |
| Model Type | Instruction-tuned Coding LLM |
| Format | GGUF (16-bit) |
| License | CreativeML OpenRAIL-M |
| Base Model | Qwen/Qwen2.5-Coder-14B-Instruct |
What is Qwen2.5-Coder-14B-Instruct-F16-GGUF?
Qwen2.5-Coder-14B-Instruct-F16-GGUF is a specialized coding-focused language model that has been optimized for efficient deployment using the GGUF format. This model represents a significant advancement in accessible AI coding assistance, combining the powerful Qwen2.5 architecture with specific optimizations for programming tasks.
Implementation Details
The model is implemented as a 16-bit quantized version of the original Qwen2.5-Coder, specifically designed to work with Llama.cpp. It maintains a balance between performance and resource efficiency, making it suitable for local deployment using tools like Ollama.
- 16-bit precision for optimal performance/memory trade-off
- GGUF format optimization for efficient local deployment
- Compatibility with Llama.cpp ecosystem
- 29.5GB model size in GGUF format
Core Capabilities
- Specialized code generation and understanding
- Instruction-following for programming tasks
- Local deployment through Ollama integration
- Efficient resource utilization through 16-bit quantization
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its optimization for coding tasks while maintaining deployment efficiency through GGUF format and 16-bit quantization, making it accessible for local deployment on consumer hardware.
Q: What are the recommended use cases?
The model is ideal for code generation, programming assistance, and technical documentation tasks. It can be effectively deployed locally using Ollama, making it suitable for developers who need reliable coding assistance without cloud dependencies.
