MN-Sappho-n3-12B-GGUF
| Property | Value |
|---|---|
| Author | mradermacher |
| Model Size Range | 4.9GB - 13.1GB |
| Base Model | MN-Sappho-n3-12B |
| Model Repository | Hugging Face |
What is MN-Sappho-n3-12B-GGUF?
MN-Sappho-n3-12B-GGUF is a comprehensively quantized version of the MN-Sappho language model, offering various compression formats to suit different computational requirements and use cases. This model represents a significant advancement in making large language models more accessible and deployable across different hardware configurations.
Implementation Details
The model comes in multiple quantization formats, each optimized for specific use-cases:
- Q2_K: Smallest size at 4.9GB, suitable for limited storage environments
- Q4_K_S/M: Fast and recommended versions at 7.2GB and 7.6GB respectively
- Q6_K: Very good quality version at 10.2GB
- Q8_0: Highest quality version at 13.1GB, offering optimal performance
- IQ4_XS: Intermediate quality format at 6.9GB
Core Capabilities
- Multiple quantization options for different performance/storage trade-offs
- Optimized GGUF format for efficient deployment
- Balanced compression-to-quality ratios across different versions
- Compatible with standard GGUF file implementations
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 availability of multiple compression levels makes it highly versatile for different deployment scenarios.
Q: What are the recommended use cases?
For optimal performance with reasonable storage requirements, the Q4_K_S and Q4_K_M variants are recommended. For highest quality requirements, the Q8_0 version is advised, while Q2_K is suitable for extremely storage-constrained environments.
