MN-Sappho-n-12B-GGUF
| Property | Value |
|---|---|
| Original Model | MN-Sappho-n-12B |
| Author | mradermacher |
| Model Hub | Hugging Face |
What is MN-Sappho-n-12B-GGUF?
MN-Sappho-n-12B-GGUF is a quantized version of the original MN-Sappho model, optimized for efficient deployment and reduced storage requirements. This model offers various quantization formats, making it accessible for different hardware configurations and use cases.
Implementation Details
The model comes in multiple quantization formats, each offering different trade-offs between model size and quality:
- 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
- Q8_0: 13.1GB - Fastest with best quality
Core Capabilities
- Multiple quantization options for different use cases
- Optimized for various hardware configurations
- IQ-quants available for enhanced quality
- Compatibility with standard GGUF file formats
Frequently Asked Questions
Q: What makes this model unique?
The model offers a wide range of quantization options, allowing users to choose the optimal balance between model size and performance for their specific needs. The availability of IQ-quants also provides superior quality compared to similar-sized non-IQ quants.
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 environments might benefit from the smaller Q2_K version.
