Llama-3.1-8B-uncensored_SQLi-GGUF
| Property | Value |
|---|---|
| Base Model | Llama 3.1 8B |
| Format | GGUF |
| Author | mradermacher |
| Repository | HuggingFace |
What is Llama-3.1-8B-uncensored_SQLi-GGUF?
This is a quantized version of the Llama-3.1-8B-uncensored_SQLi model, optimized for efficient deployment through the GGUF format. It offers multiple quantization options ranging from 2-bit to 16-bit precision, allowing users to balance between model size and performance based on their specific needs.
Implementation Details
The model provides various quantization types, each optimized for different use cases:
- Q2_K: Smallest size at 3.3GB
- Q4_K_S/M: Fast and recommended versions at 4.8-5.0GB
- Q6_K: Very good quality at 6.7GB
- Q8_0: Highest quality practical version at 8.6GB
- F16: Full 16-bit precision at 16.2GB
Core Capabilities
- Multiple quantization options for flexible deployment
- Optimized for memory efficiency while maintaining performance
- Compatible with standard GGUF loaders
- Supports both static and weighted/imatrix quantization approaches
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its comprehensive range of quantization options, allowing users to choose the optimal balance between model size and performance. The availability of both static and weighted quantization methods provides additional flexibility for different deployment scenarios.
Q: What are the recommended use cases?
For most applications, the Q4_K_S or Q4_K_M variants are recommended as they offer a good balance of speed and quality. For highest quality requirements, Q8_0 is recommended, while Q2_K is suitable for extremely resource-constrained environments.
