Aurora-SCE-12B-v2-GGUF
| Property | Value |
|---|---|
| Author | mradermacher |
| Base Model | yamatazen/Aurora-SCE-12B-v2 |
| Format | GGUF |
| Model URL | Hugging Face Repository |
What is Aurora-SCE-12B-v2-GGUF?
Aurora-SCE-12B-v2-GGUF is a quantized version of the Aurora-SCE-12B-v2 model, optimized for efficient local deployment. It offers various quantization options to balance between model size and performance, ranging from 4.9GB to 13.1GB.
Implementation Details
The model provides multiple quantization types, each optimized for different use cases:
- Q2_K (4.9GB): Smallest size option
- Q4_K_S/M (7.2-7.6GB): Fast and recommended for general use
- Q6_K (10.2GB): Very good quality option
- Q8_0 (13.1GB): Highest quality, fastest performance
Core Capabilities
- Multiple quantization options for different hardware requirements
- Optimized for local deployment with GGUF format
- IQ-quants available for enhanced performance
- Balanced options between model size and quality
Frequently Asked Questions
Q: What makes this model unique?
This model offers a comprehensive range of quantization options, making it adaptable to various hardware configurations while maintaining performance. The availability of IQ-quants provides additional optimization options over traditional quantization methods.
Q: What are the recommended use cases?
For general use, the Q4_K_S/M variants (7.2-7.6GB) are recommended as they offer a good balance of speed and quality. For highest quality requirements, the Q8_0 variant is recommended, while resource-constrained systems can utilize the Q2_K variant.
