INTELLECT-MATH-GGUF
| Property | Value |
|---|---|
| Author | mradermacher |
| Model Type | Quantized Mathematics LLM |
| Source Model | PrimeIntellect/INTELLECT-MATH |
| Repository | Hugging Face |
What is INTELLECT-MATH-GGUF?
INTELLECT-MATH-GGUF is a specialized quantized version of the INTELLECT-MATH model, optimized for mathematical computations and reasoning. It offers multiple quantization formats ranging from 3.1GB to 15.3GB, providing users with flexibility in choosing between model size and performance.
Implementation Details
The model provides various quantization options, with different size-quality trade-offs. Notable variants include Q4_K_S and Q4_K_M (recommended for fast performance), Q6_K for very good quality, and Q8_0 for best quality at larger size. The implementation includes both standard and IQ-quants, with IQ-quants often providing better performance at similar sizes.
- Q2_K (3.1GB) - Smallest size option
- Q4_K_S/M (4.6-4.8GB) - Recommended for balanced performance
- Q6_K (6.4GB) - Very good quality option
- Q8_0 (8.2GB) - Highest quality standard quantization
- F16 (15.3GB) - Full precision, uncompressed version
Core Capabilities
- Mathematical computation and reasoning
- Multiple quantization options for different use cases
- Optimized performance across various hardware configurations
- Compatible with standard GGUF loaders
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its specialized focus on mathematical tasks while offering multiple quantization options to balance between model size and performance quality. The availability of both standard and IQ-quants provides users with extensive flexibility in deployment.
Q: What are the recommended use cases?
The model is best suited for mathematical applications where efficient performance is required. For most use cases, the Q4_K_S or Q4_K_M variants are recommended as they offer a good balance between size and speed. For highest quality requirements, the Q8_0 variant is recommended.
