MN-12B-FoxFrame-Miyuri-GGUF
| Property | Value |
|---|---|
| Author | mradermacher |
| Base Model | MN-12B-FoxFrame-Miyuri |
| Format | GGUF |
| Original Source | huggingface.co/DoppelReflEx/MN-12B-FoxFrame-Miyuri |
What is MN-12B-FoxFrame-Miyuri-GGUF?
MN-12B-FoxFrame-Miyuri-GGUF is a quantized version of the original MN-12B-FoxFrame-Miyuri model, optimized for efficient deployment and reduced storage requirements. This implementation offers multiple quantization variants, allowing users to choose the optimal balance between model size and performance for their specific use case.
Implementation Details
The model provides various quantization options ranging from Q2_K (4.9GB) to Q8_0 (13.1GB), each offering different trade-offs between size and quality. Notable implementations include recommended Q4_K variants (S/M) for fast performance and Q6_K/Q8_0 for superior quality.
- Multiple quantization options from 4.9GB to 13.1GB
- IQ4_XS variant available for improved quality at smaller sizes
- Q4_K variants recommended for optimal speed-quality balance
- Q8_0 offering highest quality at 13.1GB
Core Capabilities
- Efficient model deployment with reduced storage requirements
- Flexible quantization options for different use cases
- Performance optimization through various compression techniques
- Compatible with standard GGUF file format implementations
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its comprehensive range of quantization options, allowing users to choose between highly compressed (Q2_K) to high-quality (Q8_0) variants based on their specific needs. The inclusion of both standard and IQ-quants provides additional flexibility.
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 applications requiring highest quality, the Q6_K or Q8_0 variants are suggested, while resource-constrained environments might benefit from the smaller Q2_K or Q3_K variants.
