Qwestion-14B-i1-GGUF
| Property | Value |
|---|---|
| Parameter Count | 14.8B |
| License | Apache 2.0 |
| Base Model | CultriX/Qwestion-14B |
| Language | English |
What is Qwestion-14B-i1-GGUF?
Qwestion-14B-i1-GGUF is a comprehensive collection of quantized versions of the CultriX/Qwestion-14B model, optimized using imatrix quantization techniques. This model offers various quantization levels to balance performance, memory usage, and quality, ranging from 3.7GB to 12.2GB in size.
Implementation Details
The model implements multiple quantization strategies, with particular focus on imatrix (i1) variants. It includes IQ (Improved Quantization) versions that often outperform traditional quantization methods at similar sizes.
- Multiple quantization options from IQ1 to Q6_K
- Size variants ranging from 3.7GB (i1-IQ1_S) to 12.2GB (i1-Q6_K)
- Optimized versions for different hardware configurations
- Special ARM-optimized variants available
Core Capabilities
- Efficient inference with reduced memory footprint
- Multiple performance/quality trade-off options
- ARM-specific optimizations for mobile/edge deployment
- Compatibility with standard GGUF loaders
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its comprehensive range of quantization options using imatrix technology, offering users the flexibility to choose between various performance and quality trade-offs. The IQ variants particularly provide better quality compared to traditional quantization at similar sizes.
Q: What are the recommended use cases?
For optimal performance and quality balance, the i1-Q4_K_M variant (9.1GB) is recommended. For resource-constrained environments, the IQ3 variants offer good quality at smaller sizes. The model is particularly suitable for deployment in environments where memory efficiency is crucial while maintaining reasonable performance.
