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This is wizard-vicuna-13b trained against LLaMA-7B with a subset of the dataset - responses that contained alignment / moralizing were removed. The intent is to train a WizardLM that doesn't have alignment built-in, so that alignment (of any sort) can be added separately with for example with a RLHF LoRA.

Shout out to the open source AI/ML community, and everyone who helped me out.

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Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 44.77
ARC (25-shot) 53.41
HellaSwag (10-shot) 78.85
MMLU (5-shot) 37.09
TruthfulQA (0-shot) 43.48
Winogrande (5-shot) 72.22
GSM8K (5-shot) 4.55
DROP (3-shot) 23.8

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 48.27
AI2 Reasoning Challenge (25-Shot) 53.41
HellaSwag (10-Shot) 78.85
MMLU (5-Shot) 37.09
TruthfulQA (0-shot) 43.48
Winogrande (5-shot) 72.22
GSM8k (5-shot) 4.55
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Evaluation results