Qwen2.5-Coder-32B-Instruct-GGUF
| Property | Value |
|---|---|
| Parameter Count | 32.8B parameters |
| License | Apache 2.0 |
| Base Model | Qwen/Qwen2.5-Coder-32B-Instruct |
| Quantized By | bartowski |
What is Qwen2.5-Coder-32B-Instruct-GGUF?
Qwen2.5-Coder-32B-Instruct-GGUF is a sophisticated code-focused language model that has been carefully quantized into various GGUF formats for optimal deployment. This model represents a significant advancement in code generation and technical conversation capabilities, offering multiple quantization options to balance performance and resource requirements.
Implementation Details
The model comes in multiple quantization variants, ranging from 9GB to 34.82GB, each optimized for different use cases. The quantization was performed using llama.cpp release b4014, implementing advanced techniques including imatrix quantization with a specialized dataset.
- Multiple quantization options from Q8_0 to IQ2_XXS
- Specialized versions for ARM inference
- Optimized embed/output weights in certain variants
- Support for various inference platforms including LM Studio
Core Capabilities
- Advanced code generation and completion
- Technical conversation handling
- Flexible deployment options for different hardware configurations
- Optimized performance across various quantization levels
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its extensive range of quantization options, allowing users to choose the perfect balance between model size and performance. It's specifically optimized for coding tasks while maintaining high-quality technical conversation capabilities.
Q: What are the recommended use cases?
The model is ideal for code development, technical documentation, and programming assistance. For optimal performance, users with high-end hardware should consider the Q6_K_L or Q5_K_M variants, while those with limited resources can effectively use the IQ4_XS or lower variants.
