EtherealAurora-12B-GGUF
| Property | Value |
|---|---|
| Original Model | yamatazen/EtherealAurora-12B |
| Format | GGUF (Various Quantizations) |
| Author | mradermacher |
| Model URL | Hugging Face Repository |
What is EtherealAurora-12B-GGUF?
EtherealAurora-12B-GGUF is a quantized version of the original EtherealAurora model, specifically optimized for efficient deployment and reduced memory footprint. The model offers multiple quantization options ranging from 4.9GB to 13.1GB, allowing users to balance between model size and performance based on their specific needs.
Implementation Details
The model comes in various quantization formats, each optimized for different use cases:
- Q8_0 (13.1GB): Highest quality, fast performance
- Q6_K (10.2GB): Very good quality with balanced size
- Q4_K_M/S (7.2-7.6GB): Recommended for fast performance
- Q2_K (4.9GB): Smallest size option
Core Capabilities
- Multiple quantization options for different deployment scenarios
- Optimized memory efficiency while maintaining performance
- IQ-quants available for enhanced quality in similar size brackets
- Flexible deployment options across various compute environments
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. The availability of IQ-quants also provides superior quality compared to traditional quantization methods of similar sizes.
Q: What are the recommended use cases?
For optimal performance, the Q4_K_S and Q4_K_M variants are recommended for general use, offering a good 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.
