Llama-3.2-11b-vision-uncensored
| Property | Value |
|---|---|
| Base Model | Llama 3.2 11B Vision |
| Quantization | 4-bit (NF4) |
| Framework | PEFT 0.13.1.dev0 |
| Model URL | Hugging Face |
What is Llama-3.2-11b-vision-uncensored?
This model is a modified version of the Llama 3.2 11B Vision model, specifically adapted to provide unrestricted responses in multi-modal conversations. It implements 4-bit quantization using the BitsAndBytes configuration for efficient deployment while maintaining performance.
Implementation Details
The model utilizes PEFT (Parameter-Efficient Fine-Tuning) technology and incorporates specific technical configurations including bfloat16 compute dtype and nf4 quantization type. It's designed to process both image and text inputs through a specialized processor and chat template system.
- 4-bit quantization with double quantization enabled
- BitsAndBytes configuration for efficient memory usage
- CUDA device mapping for GPU acceleration
- Custom chat template processing for multi-modal inputs
Core Capabilities
- Multi-modal processing of images and text
- Memory-efficient deployment through 4-bit quantization
- Unrestricted response generation
- Custom instruction following with modified behavior parameters
Frequently Asked Questions
Q: What makes this model unique?
This model combines the vision-language capabilities of Llama 3.2 with modified behavior parameters and efficient quantization, allowing for unrestricted responses while maintaining computational efficiency.
Q: What are the recommended use cases?
The model is designed for research and development in multi-modal AI systems where unrestricted responses are required. It's particularly suited for applications needing both image and text processing capabilities with memory-efficient deployment.
