Diogenes-12B-GGUF
| Property | Value |
|---|---|
| Author | mradermacher |
| Model Size | 12B parameters |
| Format | GGUF |
| Source | Based on Nitral-Archive/Diogenes-12B |
What is Diogenes-12B-GGUF?
Diogenes-12B-GGUF is a quantized version of the original Diogenes-12B model, optimized for efficient deployment and reduced storage requirements while maintaining performance. The model offers multiple quantization options to balance between model size and quality, ranging from 4.9GB to 13.1GB.
Implementation Details
The model provides various quantization types, each optimized for different use cases:
- Q2_K (4.9GB): Smallest size option
- Q4_K_S/M (7.2-7.6GB): Fast and recommended for general use
- Q6_K (10.2GB): Very good quality balance
- Q8_0 (13.1GB): Highest quality, fast performance
Core Capabilities
- Multiple quantization options for different deployment scenarios
- IQ-quants available for enhanced performance
- Optimized for both speed and quality depending on chosen quantization
- Compatible with standard GGUF file implementations
Frequently Asked Questions
Q: What makes this model unique?
The model offers a comprehensive range of quantization options, allowing users to choose between extreme compression (Q2_K) and high-quality performance (Q8_0), making it versatile for different deployment scenarios.
Q: What are the recommended use cases?
For general use, the Q4_K_S/M variants (7.2-7.6GB) are recommended as they offer a good balance of speed and quality. For highest quality requirements, the Q8_0 variant is recommended, while Q2_K is suitable for extremely resource-constrained environments.
