DeepSeek-R1-Distill-Qwen-32B-Uncensored-i1-GGUF
| Property | Value |
|---|---|
| Original Model | DeepSeek-R1-Distill-Qwen-32B-Uncensored |
| Author | mradermacher |
| Format | GGUF with multiple quantization options |
| Size Range | 7.4GB - 27GB |
| Model URL | https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-32B-Uncensored-i1-GGUF |
What is DeepSeek-R1-Distill-Qwen-32B-Uncensored-i1-GGUF?
This is a specialized quantized version of the DeepSeek-R1-Distill-Qwen-32B-Uncensored model, offering various GGUF formats optimized for different use cases. The model provides multiple quantization options using both standard and imatrix (IQ) techniques, allowing users to balance between model size, performance, and quality.
Implementation Details
The implementation features multiple quantization variants, with the most notable being:
- IQ1_S (7.4GB): Smallest size, suitable for restricted environments
- Q4_K_M (19.9GB): Recommended variant offering optimal balance of speed and quality
- Q6_K (27.0GB): Highest quality variant, comparable to static Q6_K
- Various IQ (imatrix) variants offering better quality than traditional quantization at similar sizes
Core Capabilities
- Multiple quantization options for different hardware configurations
- Improved quality through imatrix quantization techniques
- Optimized size/speed/quality tradeoffs
- Compatible with standard GGUF loading systems
Frequently Asked Questions
Q: What makes this model unique?
The model offers innovative imatrix quantization options that often provide better quality than traditional quantization methods at similar file sizes. It provides an extensive range of variants from 7.4GB to 27GB, making it adaptable to various hardware constraints.
Q: What are the recommended use cases?
For optimal performance, the Q4_K_M variant (19.9GB) is recommended as it provides a good balance of speed and quality. For systems with limited resources, the IQ variants offer better quality than traditional quantization at smaller sizes.
