DeepSeek-R1-8B-Medical-GGUF
| Property | Value |
|---|---|
| Model Size | 8B parameters |
| Author | mradermacher |
| Original Source | RianPI/DeepSeek-R1-8B-Medical |
| Format | GGUF quantized variants |
What is DeepSeek-R1-8B-Medical-GGUF?
DeepSeek-R1-8B-Medical-GGUF is a quantized version of the DeepSeek medical model, specifically optimized for efficient deployment while maintaining medical domain expertise. This implementation offers multiple quantization options ranging from highly compressed (Q2_K at 3.3GB) to full precision (f16 at 16.2GB), allowing users to balance between model size and performance.
Implementation Details
The model comes in various quantization formats, each optimized for different use cases. Notable variants include the recommended Q4_K_S (4.8GB) and Q4_K_M (5.0GB) for fast performance, Q6_K (6.7GB) for very good quality, and Q8_0 (8.6GB) for best quality with reasonable speed.
- Multiple quantization options from Q2_K to f16
- IQ4_XS variant available at 4.6GB
- Optimized for medical domain applications
- Static quantization with potential for weighted/imatrix versions
Core Capabilities
- Medical domain expertise with efficient deployment options
- Flexible size-performance tradeoffs
- Compatible with standard GGUF implementations
- Optimized for various hardware configurations
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its specialized medical domain knowledge combined with highly efficient quantization options, making it practical for deployment in various computing environments while maintaining domain expertise.
Q: What are the recommended use cases?
For most applications, the Q4_K_S or Q4_K_M variants are recommended as they offer an excellent balance of speed and quality. For highest quality requirements, the Q8_0 variant is recommended, while resource-constrained environments might benefit from the smaller Q2_K or Q3_K variants.
