Qwen2.5-14B-HyperMarck-i1-GGUF
| Property | Value |
|---|---|
| Author | mradermacher |
| Base Model | Qwen2.5-14B-HyperMarck |
| Format | GGUF with imatrix quantization |
| Size Range | 3.7GB - 12.2GB |
What is Qwen2.5-14B-HyperMarck-i1-GGUF?
This is a specialized quantized version of the Qwen2.5-14B-HyperMarck model, optimized using imatrix quantization techniques. The repository offers multiple compression variants, allowing users to choose between different trade-offs of model size, speed, and quality.
Implementation Details
The model comes in various quantization formats, from highly compressed IQ1_S (3.7GB) to high-quality Q6_K (12.2GB). Each variant uses imatrix quantization (i1) to optimize performance while maintaining model quality where possible.
- Multiple quantization options ranging from IQ1 to Q6_K
- Imatrix optimization for improved quality-to-size ratio
- Balanced options like Q4_K_M (9.1GB) offering optimal speed/quality trade-off
- Special weighted/imatrix quants for enhanced performance
Core Capabilities
- Flexible deployment options with various size/quality trade-offs
- Optimized for memory-constrained environments
- Compatible with standard GGUF loading systems
- Maintains model quality through intelligent quantization
Frequently Asked Questions
Q: What makes this model unique?
The model offers imatrix-optimized quantization with multiple compression levels, allowing users to choose the perfect balance between model size and performance for their specific use case.
Q: What are the recommended use cases?
For optimal performance, the Q4_K_M (9.1GB) variant is recommended as it offers a good balance of speed and quality. For memory-constrained systems, the IQ2 or IQ3 variants provide usable performance at smaller sizes.
