FuseO1-DeepSeekR1-QwQ-SkyT1-32B-Preview-i1-GGUF
Property | Value |
---|---|
Author | mradermacher |
Model Size | 32B parameters |
Format | GGUF with multiple quantization options |
Source | Original Model |
What is FuseO1-DeepSeekR1-QwQ-SkyT1-32B-Preview-i1-GGUF?
This is a specialized quantized version of the FuseO1-DeepSeekR1 model, offering various compression options through GGUF format. The model provides multiple quantization variants ranging from ultra-compressed 7.4GB versions to high-quality 27GB implementations, allowing users to balance between model size and performance based on their requirements.
Implementation Details
The model implements both weighted and imatrix quantization techniques, offering a comprehensive range of compression options. The quantization variants include IQ (Imatrix Quantized) and standard Q formats, with sizes ranging from IQ1_S (7.4GB) to Q6_K (27GB).
- Includes multiple IQ variants (IQ1, IQ2, IQ3, IQ4) for optimal compression
- Features various standard quantization options (Q2_K to Q6_K)
- Offers size-optimized versions with '_S', '_M', '_L' suffixes
- Q4_K_M (20GB) recommended for balanced performance
Core Capabilities
- Multiple compression options suitable for different hardware configurations
- Optimized performance with imatrix quantization technology
- Compatible with standard GGUF loading tools and frameworks
- Flexible deployment options from resource-constrained to high-performance systems
Frequently Asked Questions
Q: What makes this model unique?
The model offers an extensive range of quantization options with both imatrix and standard quantization techniques, allowing unprecedented flexibility in deployment scenarios. The IQ variants often provide better quality than similar-sized standard quantizations.
Q: What are the recommended use cases?
For optimal performance, the Q4_K_M variant (20GB) is recommended as it offers the best balance of speed and quality. For resource-constrained environments, IQ3 variants provide good quality at smaller sizes, while Q6_K (27GB) offers near-original model quality.