Wizard-Vicuna-7B-Uncensored
| Property | Value |
|---|---|
| Base Model | LLaMA-7B |
| License | Other |
| Language | English |
| Training Dataset | ehartford/wizard_vicuna_70k_unfiltered |
What is Wizard-Vicuna-7B-Uncensored?
Wizard-Vicuna-7B-Uncensored is a specialized language model derived from LLaMA-7B, trained on a carefully curated subset of the Wizard-Vicuna dataset. This model is unique in that it deliberately excludes alignment and moralizing responses, providing a base model for custom alignment through techniques like RLHF LoRA.
Implementation Details
The model is implemented using PyTorch and Transformers architecture, built on the LLaMA-7B foundation. It achieves notable performance across various benchmarks, including 78.85% on HellaSwag and 53.41% on the AI2 Reasoning Challenge.
- Benchmark Performance: 48.27% average across major evaluations
- Zero-shot capabilities demonstrated in TruthfulQA (43.48%)
- Strong performance in Winogrande (72.22%)
Core Capabilities
- Unconstrained text generation without built-in alignment
- Strong performance in common sense reasoning tasks
- Flexible base for custom alignment implementations
- Multilingual text processing capabilities
Frequently Asked Questions
Q: What makes this model unique?
This model is distinctive in its approach to removing built-in alignment constraints, allowing developers to implement custom alignment strategies. It provides a raw foundation for specialized applications while maintaining strong performance on standard benchmarks.
Q: What are the recommended use cases?
The model is best suited for research and development purposes where custom alignment is desired. Users should note that as an uncensored model, it requires careful implementation of appropriate safeguards for specific applications.
