This is a retraining of https://huggingface.co/WizardLM/WizardLM-30B-V1.0 with a filtered dataset, intended to reduce refusals, avoidance, and bias.
Note that LLaMA itself has inherent ethical beliefs, so there's no such thing as a "truly uncensored" model. But this model will be more compliant than WizardLM/WizardLM-7B-V1.0.
Shout out to the open source AI/ML community, and everyone who helped me out.
Note: An uncensored model has no guardrails. You are responsible for anything you do with the model, just as you are responsible for anything you do with any dangerous object such as a knife, gun, lighter, or car. Publishing anything this model generates is the same as publishing it yourself. You are responsible for the content you publish, and you cannot blame the model any more than you can blame the knife, gun, lighter, or car for what you do with it.
Like WizardLM/WizardLM-30B-V1.0, this model is trained with Vicuna-1.1 style prompts.
You are a helpful AI assistant.
USER: <prompt>
ASSISTANT:
Thank you chirper.ai for sponsoring some of my compute!
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 54.41 |
ARC (25-shot) | 63.65 |
HellaSwag (10-shot) | 83.84 |
MMLU (5-shot) | 59.36 |
TruthfulQA (0-shot) | 56.8 |
Winogrande (5-shot) | 77.66 |
GSM8K (5-shot) | 18.65 |
DROP (3-shot) | 20.89 |
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 59.99 |
AI2 Reasoning Challenge (25-Shot) | 63.65 |
HellaSwag (10-Shot) | 83.84 |
MMLU (5-Shot) | 59.36 |
TruthfulQA (0-shot) | 56.80 |
Winogrande (5-shot) | 77.66 |
GSM8k (5-shot) | 18.65 |
- Downloads last month
- 745
Dataset used to train cognitivecomputations/WizardLM-33B-V1.0-Uncensored
Spaces using cognitivecomputations/WizardLM-33B-V1.0-Uncensored 25
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard63.650
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard83.840
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard59.360
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard56.800
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard77.660
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard18.650