Tifa-Deepsex-14b-CoT-GGUF
| Property | Value |
|---|---|
| Model Size | 14B parameters |
| Author | mradermacher |
| Model Format | GGUF |
| Source Repository | Hugging Face |
What is Tifa-Deepsex-14b-CoT-GGUF?
Tifa-Deepsex-14b-CoT-GGUF is a quantized version of the original Tifa-Deepsex-14b-CoT model, optimized for efficient deployment and reduced memory footprint. The model offers multiple quantization variants, allowing users to balance between model size and performance based on their specific needs.
Implementation Details
The model provides various quantization options ranging from Q2_K (5.9GB) to Q8_0 (15.8GB), with each variant offering different trade-offs between size and quality. Notable variants include Q4_K_S and Q4_K_M, which are recommended for their balance of speed and quality, and Q8_0, which offers the highest quality at the cost of larger size.
- Q2_K: 5.9GB - Smallest size option
- Q4_K_S/M: 8.7-9.1GB - Recommended for balanced performance
- Q6_K: 12.2GB - Very good quality
- Q8_0: 15.8GB - Highest quality option
Core Capabilities
- Multiple quantization options for different deployment scenarios
- Optimized for efficient memory usage
- IQ-quants available for enhanced quality
- Compatible with standard GGUF loading tools
Frequently Asked Questions
Q: What makes this model unique?
The model offers 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 both standard and IQ-quants provides additional flexibility in deployment options.
Q: What are the recommended use cases?
For optimal performance with reasonable size requirements, the Q4_K_S and Q4_K_M variants are recommended. For highest quality outputs, the Q8_0 variant is suggested, while resource-constrained environments may benefit from the smaller Q2_K or Q3_K variants.
