Epimetheus-14B-Axo-i1-GGUF
| Property | Value |
|---|---|
| Base Model | Epimetheus-14B-Axo |
| Quantization | GGUF with imatrix |
| Author | mradermacher |
| Model Hub | Hugging Face |
What is Epimetheus-14B-Axo-i1-GGUF?
Epimetheus-14B-Axo-i1-GGUF is a specialized quantized version of the Epimetheus-14B-Axo model, offering various compression levels through GGUF format with imatrix quantization. This implementation provides multiple variants optimized for different use cases, ranging from 3.7GB to 12.2GB in size.
Implementation Details
The model features both weighted and imatrix quantizations, with file sizes optimized for different performance requirements. The quantization variants range from i1-IQ1_S (3.7GB) to i1-Q6_K (12.2GB), each offering different trade-offs between model size and performance quality.
- Multiple quantization options from IQ1 to Q6_K
- Imatrix quantization for improved quality/size ratio
- Optimized variants for different hardware capabilities
- Size options ranging from 3.7GB to 12.2GB
Core Capabilities
- Efficient compression while maintaining model quality
- Flexible deployment options for various hardware configurations
- Optimized performance with imatrix 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, particularly the implementation of imatrix quantization which often provides better quality than similar-sized traditional quantizations. The Q4_K_M variant (9.1GB) is notably recommended for its optimal balance of speed and quality.
Q: What are the recommended use cases?
For optimal performance, the Q4_K_M variant is recommended for general use. For systems with limited resources, the IQ3 variants offer a good compromise. The Q6_K variant provides quality closest to the original model but requires more storage and computational resources.
