rombos_Mistral-Evolved-11b-v0.1-GGUF
| Property | Value |
|---|---|
| Base Model | Mistral-Evolved-11b |
| Format | GGUF |
| Author | mradermacher |
| Model URL | Hugging Face Repository |
What is rombos_Mistral-Evolved-11b-v0.1-GGUF?
This is a quantized version of the Mistral-Evolved-11b model, optimized for efficient local deployment. The model offers various quantization options ranging from 4.3GB to 12GB, providing users with flexibility in balancing performance and resource requirements.
Implementation Details
The model comes in multiple quantization formats, each optimized for different use cases:
- Q8_0 (12GB): Highest quality, fastest performance
- Q6_K (9.3GB): Very good quality with reduced size
- Q4_K_S/M (6.5-6.8GB): Recommended for balanced performance
- Q2_K (4.3GB): Smallest size option
- IQ4_XS (6.2GB): Specialized quantization format
Core Capabilities
- Efficient local deployment with multiple size options
- Optimized inference performance
- Quality-preserving compression techniques
- Compatible with standard GGUF loaders
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its variety of quantization options, allowing users to choose the optimal balance between model size and performance. The implementation includes both standard and IQ-quants, with detailed performance characteristics for each variant.
Q: What are the recommended use cases?
For optimal performance with reasonable size requirements, the Q4_K_S/M variants (6.5-6.8GB) are recommended. For maximum quality, use the Q8_0 variant (12GB), and for minimal resource usage, consider the Q2_K variant (4.3GB).
