Wizard-Vicuna-30B-Uncensored
| Property | Value |
|---|---|
| License | Other |
| Language | English |
| Framework | PyTorch |
| Training Data | wizard_vicuna_70k_unfiltered |
What is Wizard-Vicuna-30B-Uncensored?
Wizard-Vicuna-30B-Uncensored is a large language model built on the Vicuna architecture, specifically designed to operate without traditional AI safety constraints. The model achieves impressive benchmark scores, including 83.45% on HellaSwag and 78.45% on Winogrande, demonstrating strong natural language understanding capabilities.
Implementation Details
This model is implemented using PyTorch and is trained on the wizard_vicuna_70k_unfiltered dataset. Unlike its base version, this model has had alignment and moralizing responses removed during training, allowing for more flexible deployment of custom alignment strategies through RLHF LoRA or other methods.
- Benchmark average score: 57.89%
- Specialized for unrestricted text generation
- Compatible with text-generation-inference systems
Core Capabilities
- Strong performance on reasoning tasks (ARC Challenge: 62.12%)
- High accuracy on common sense tasks (HellaSwag: 83.45%)
- Robust general knowledge (MMLU: 58.24%)
- Advanced logical reasoning (Winogrande: 78.45%)
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its removal of built-in alignment constraints, allowing developers to implement custom alignment strategies. It maintains high performance across various benchmarks while offering more flexibility in deployment.
Q: What are the recommended use cases?
The model is suitable for research and development purposes where custom alignment strategies are needed. Users should note that this is an uncensored model with no built-in guardrails, requiring careful consideration and responsible implementation of appropriate safety measures.
