Llama-3.1-8B-uncensored_SQLi-i1-GGUF
| Property | Value |
|---|---|
| Base Model | Llama 3.1 8B |
| Quantization | GGUF format with imatrix |
| Size Range | 2.1GB - 6.7GB |
| Author | mradermacher |
| Source | HuggingFace Repository |
What is Llama-3.1-8B-uncensored_SQLi-i1-GGUF?
This is a specialized quantized version of the Llama 3.1 8B model, optimized for SQL injection tasks. The model offers various GGUF compression formats with imatrix quantization, providing different trade-offs between model size, speed, and quality. It represents a significant advancement in making large language models more accessible and deployable on resource-constrained systems.
Implementation Details
The model implements advanced quantization techniques using GGUF format with imatrix optimization. It provides multiple quantization options ranging from lightweight 2.1GB (i1-IQ1_S) to high-quality 6.7GB (i1-Q6_K) versions. The implementation focuses on maintaining model quality while reducing size through intelligent compression techniques.
- Multiple quantization options with size-quality trade-offs
- imatrix-based optimization for improved performance
- Comprehensive range of compression formats (IQ1, IQ2, IQ3, IQ4, Q5, Q6)
- Optimized for SQL injection-related tasks
Core Capabilities
- Efficient model deployment with various size options
- Optimal performance in Q4_K_M format (5.0GB) for balance of speed and quality
- Support for both high-compression (IQ1/IQ2) and high-quality (Q5/Q6) use cases
- Specialized SQL injection task handling
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its comprehensive range of quantization options and specialized optimization for SQL injection tasks. The imatrix quantization technique provides better quality compared to traditional quantization methods at similar sizes.
Q: What are the recommended use cases?
For most applications, the Q4_K_M (5.0GB) version is recommended as it provides an optimal balance of speed, size, and quality. For resource-constrained environments, the IQ2/IQ3 versions offer reasonable performance at smaller sizes.
