FluentlyLM-Prinum-GGUF
| Property | Value |
|---|---|
| Author | mradermacher |
| Model Type | GGUF Quantized Language Model |
| Original Source | fluently-lm/FluentlyLM-Prinum |
| Size Range | 12.4GB - 34.9GB |
What is FluentlyLM-Prinum-GGUF?
FluentlyLM-Prinum-GGUF is a collection of quantized versions of the original FluentlyLM-Prinum model, optimized for different performance and size trade-offs. These quantizations enable more efficient deployment while maintaining varying degrees of model quality.
Implementation Details
The model offers multiple quantization options, ranging from lightweight Q2_K (12.4GB) to high-quality Q8_0 (34.9GB). Notable implementations include the recommended Q4_K_S and Q4_K_M variants, which provide an optimal balance between speed and quality.
- Q4_K_S (18.9GB) - Fast and recommended for general use
- Q4_K_M (20.0GB) - Enhanced version with slightly larger size
- Q6_K (27.0GB) - Very good quality option
- Q8_0 (34.9GB) - Highest quality, fastest performance
Core Capabilities
- Multiple quantization options for different deployment scenarios
- Optimized performance-to-size ratios
- Static quantization support
- Compatible with standard GGUF file usage
Frequently Asked Questions
Q: What makes this model unique?
The model provides a comprehensive range of quantization options, allowing users to choose the optimal balance between model size and performance for their specific use case. The availability of multiple quality tiers makes it highly versatile for different deployment scenarios.
Q: What are the recommended use cases?
For general usage, the Q4_K_S and Q4_K_M variants are recommended due to their balance of speed and quality. For highest quality requirements, the Q8_0 variant is recommended, while resource-constrained environments might benefit from the lighter Q2_K or Q3_K variants.
