Qwen2.5-Coder-14B-Instruct-4bit
| Property | Value |
|---|---|
| Model Size | 14B parameters |
| Format | MLX (4-bit quantized) |
| Original Source | Qwen/Qwen2.5-Coder-14B-Instruct |
| Hugging Face | Repository Link |
What is Qwen2.5-Coder-14B-Instruct-4bit?
Qwen2.5-Coder-14B-Instruct-4bit is a specialized coding-focused language model that has been optimized for the MLX framework. This model is a 4-bit quantized version of the original Qwen2.5-Coder-14B-Instruct, converted using mlx-lm version 0.19.3, making it more efficient for deployment while maintaining its coding capabilities.
Implementation Details
The model is implemented using the MLX framework and can be easily integrated using the mlx-lm package. It features a chat template system and supports efficient generation of responses through a streamlined API.
- 4-bit quantization for reduced memory footprint
- Compatible with MLX framework
- Includes built-in chat template support
- Seamless integration through mlx-lm package
Core Capabilities
- Code generation and completion
- Programming language understanding
- Chat-based interaction support
- Optimized for memory efficiency
- Streamlined deployment process
Frequently Asked Questions
Q: What makes this model unique?
This model stands out due to its 4-bit quantization while maintaining the capabilities of the original 14B parameter model, specifically optimized for the MLX framework. It offers an excellent balance between performance and resource efficiency.
Q: What are the recommended use cases?
The model is particularly well-suited for code-related tasks including code generation, completion, and technical discussions. It's optimized for environments where memory efficiency is crucial while maintaining high-quality coding assistance capabilities.
