DeepSeek-R1-Distill-Qwen-7B-Uncensored-i1-GGUF
| Property | Value |
|---|---|
| Author | mradermacher |
| Model Type | GGUF Quantized Language Model |
| Size Range | 2.0GB - 6.4GB |
| Original Model | DeepSeek-R1-Distill-Qwen-7B-Uncensored |
What is DeepSeek-R1-Distill-Qwen-7B-Uncensored-i1-GGUF?
This is a highly optimized quantized version of the DeepSeek 7B model, specifically designed to provide various compression options while maintaining performance. The model utilizes innovative imatrix quantization techniques to achieve better quality compared to traditional quantization methods.
Implementation Details
The model comes in multiple quantization variants, ranging from highly compressed 2GB versions to higher-quality 6.4GB implementations. It employs advanced imatrix (IQ) quantization, which often provides better results than similar-sized non-IQ quantizations.
- Multiple compression options from IQ1_S (2.0GB) to Q6_K (6.4GB)
- Optimized for different use cases and hardware constraints
- Implements innovative imatrix quantization for better quality/size ratio
Core Capabilities
- Efficient memory usage with various quantization options
- Optimal balance between model size and performance
- Suitable for different hardware configurations
- Maintains core functionality of the original model while reducing size
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its comprehensive range of quantization options using imatrix technology, allowing users to choose the perfect balance between model size and quality for their specific needs.
Q: What are the recommended use cases?
For optimal performance, the Q4_K_M (4.8GB) variant is recommended as it provides a good balance of speed and quality. For resource-constrained environments, the IQ3 variants offer reasonable performance at smaller sizes.
