Aurora-SCE-12B-GGUF
| Property | Value |
|---|---|
| Original Model | yamatazen/Aurora-SCE-12B |
| Format | GGUF (Various Quantizations) |
| Size Range | 4.9GB - 13.1GB |
| Author | mradermacher |
What is Aurora-SCE-12B-GGUF?
Aurora-SCE-12B-GGUF is a quantized version of the original Aurora-SCE-12B model, optimized for efficient deployment and reduced memory footprint. This implementation provides multiple quantization options, allowing users to balance between model size and performance based on their specific needs.
Implementation Details
The model offers various quantization levels, from Q2_K to Q8_0, each optimized for different use cases. Notable variants include the recommended Q4_K_S and Q4_K_M versions, which provide a good balance of speed and quality, and the Q8_0 version which offers the highest quality at a larger size.
- Q2_K: Smallest size at 4.9GB
- Q4_K_S/M: Recommended for general use (7.2-7.6GB)
- Q6_K: Very good quality at 10.2GB
- Q8_0: Highest quality at 13.1GB
Core Capabilities
- Multiple quantization options for different deployment scenarios
- Optimized performance with GGUF format
- Size-quality trade-off options
- 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 perfect balance between model size and performance for their specific use case. The GGUF format ensures broad compatibility and efficient deployment.
Q: What are the recommended use cases?
For most applications, the Q4_K_S or Q4_K_M variants are recommended as they offer a good balance of speed and quality. For highest quality needs, Q8_0 is recommended, while Q2_K is suitable for environments with strict storage constraints.
