DeepSeek-R1-Distill-Qwen-14B-Uncensored-GGUF
| Property | Value |
|---|---|
| Original Model | DeepSeek-R1-Distill-Qwen-14B-Uncensored |
| Format | GGUF |
| Author | mradermacher |
| Model URL | Hugging Face Repository |
What is DeepSeek-R1-Distill-Qwen-14B-Uncensored-GGUF?
This is a GGUF-formatted version of the DeepSeek-R1-Distill-Qwen-14B-Uncensored model, optimized for efficient deployment through various quantization options. The model provides multiple compression levels while maintaining performance, allowing users to choose the optimal balance between model size and quality.
Implementation Details
The model offers multiple quantization variants ranging from Q2_K to Q8_0, with file sizes varying from 5.9GB to 15.8GB. The implementation includes both standard and IQ (Improved Quantization) variants, with special attention to maintaining model quality while reducing size.
- Q4_K_S and Q4_K_M variants are recommended for fast performance (8.7GB and 9.1GB)
- Q6_K offers very good quality at 12.2GB
- Q8_0 provides the best quality at 15.8GB
- IQ4_XS offers improved quantization at 8.3GB
Core Capabilities
- Multiple quantization options for different deployment scenarios
- Optimized for efficient local deployment
- Balanced options between model size and performance
- Compatible with standard GGUF loaders and frameworks
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its variety of quantization options, allowing users to choose the perfect balance between model size and performance. It's particularly notable for including both standard and improved quantization (IQ) variants.
Q: What are the recommended use cases?
The model is ideal for local deployment scenarios where resource optimization is crucial. The Q4_K variants are recommended for general use, while Q6_K and Q8_0 are suitable for applications requiring higher quality outputs.
