Use cases
- Research into LLM safety training and RLHF effects via comparison with aligned models
- Red-teaming and security research requiring a model that does not refuse
- Evaluating alignment removal in large instruction-tuned models
- Use cases requiring explicit content generation where base model safety filters are a constraint
Pros
- 34B scale provides strong instruction following and reasoning depth
- Yi-1.5-34B backbone has broad multilingual coverage
- Community fine-tune with documented training data sources
Cons
- No safety filtering means the model will comply with harmful requests — requires responsible deployment
- Yi-1.5 base license must be reviewed for commercial use — not Apache 2.0
- Community fine-tune with no formal support or maintenance guarantees
- Accuracy on benign tasks may be reduced by uncensored training data mix
- Deployment requires careful access control to prevent misuse
FAQ
What is dolphin-2.9.1-yi-1.5-34b used for?
Research into LLM safety training and RLHF effects via comparison with aligned models. Red-teaming and security research requiring a model that does not refuse. Evaluating alignment removal in large instruction-tuned models. Use cases requiring explicit content generation where base model safety filters are a constraint.
Is dolphin-2.9.1-yi-1.5-34b free to use?
dolphin-2.9.1-yi-1.5-34b is an open-source model published on HuggingFace. License terms vary by model — check the model card for the specific license.
How do I run dolphin-2.9.1-yi-1.5-34b locally?
Most HuggingFace models can be loaded with transformers or the appropriate framework library. See the model card for framework-specific instructions and hardware requirements.