Breeze-7B-FC-v1_0-GGUF
| Property | Value |
|---|---|
| Original Model | MediaTek-Research/Breeze-7B-FC-v1_0 |
| Format | GGUF (Various Quantizations) |
| Author | mradermacher |
| Model URL | https://huggingface.co/mradermacher/Breeze-7B-FC-v1_0-GGUF |
What is Breeze-7B-FC-v1_0-GGUF?
Breeze-7B-FC-v1_0-GGUF is a comprehensive quantization suite of the original Breeze-7B model, offering multiple GGUF variants optimized for different use cases. This implementation provides various quantization options ranging from 3.0GB to 15.1GB, allowing users to balance between model size and performance based on their specific needs.
Implementation Details
The model comes in multiple quantization variants, each optimized for different scenarios:
- Q2_K: Smallest size at 3.0GB
- Q4_K_S/M: Recommended variants (4.4-4.6GB) offering good balance
- Q6_K: Very high quality at 6.2GB
- Q8_0: Best quality option at 8.1GB
- F16: Full precision at 15.1GB
Core Capabilities
- Flexible deployment options with multiple quantization levels
- Optimized performance-to-size ratios
- Support for both standard and IQ-based quantization
- Compatible with standard GGUF loaders
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its comprehensive range of quantization options, allowing users to choose the perfect balance between model size and performance. The availability of IQ-quants alongside traditional quantization methods provides additional flexibility.
Q: What are the recommended use cases?
For most users, the Q4_K_S or Q4_K_M variants are recommended as they offer the best balance of speed and quality. For highest quality needs, Q8_0 is recommended, while Q2_K is suitable for resource-constrained environments.
