Cygnus-II-14B-GGUF
| Property | Value |
|---|---|
| Author | mradermacher |
| Original Model | prithivMLmods/Cygnus-II-14B |
| Format | GGUF (Various Quantizations) |
| Model URL | Hugging Face Repository |
What is Cygnus-II-14B-GGUF?
Cygnus-II-14B-GGUF is a comprehensive collection of quantized versions of the original Cygnus-II-14B model, optimized for different use cases and hardware configurations. The repository provides multiple quantization options ranging from highly compressed (Q2_K at 5.9GB) to high-quality (Q8_0 at 15.8GB) variants.
Implementation Details
The model offers various quantization types, each optimized for different use cases:
- Q2_K (5.9GB): Highest compression, suitable for limited storage
- Q4_K_S/M (8.7-9.1GB): Fast and recommended for general use
- Q6_K (12.2GB): Very good quality with balanced compression
- Q8_0 (15.8GB): Highest quality, fastest performance
Core Capabilities
- Multiple quantization options for different hardware constraints
- IQ-quant variants available for improved quality
- Optimized for various speed/quality trade-offs
- Compatible with standard GGUF file formats
Frequently Asked Questions
Q: What makes this model unique?
The model provides a comprehensive range of quantization options, allowing users to choose the optimal balance between model size, inference speed, and quality. The availability of IQ-quants often provides better quality than similar-sized standard quantizations.
Q: What are the recommended use cases?
For general use, the Q4_K_S and Q4_K_M variants are recommended as they offer a good balance of speed and quality. For highest quality applications, use Q8_0, while for resource-constrained environments, the Q2_K variant provides maximum compression.
