This is wizard-vicuna-13b trained 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.

Discord Discord: https://discord.gg/cognitivecomputations

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

Note:

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Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 53.44
ARC (25-shot) 62.12
HellaSwag (10-shot) 83.45
MMLU (5-shot) 58.24
TruthfulQA (0-shot) 50.81
Winogrande (5-shot) 78.45
GSM8K (5-shot) 14.25
DROP (3-shot) 26.74

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 57.89
AI2 Reasoning Challenge (25-Shot) 62.12
HellaSwag (10-Shot) 83.45
MMLU (5-Shot) 58.24
TruthfulQA (0-shot) 50.81
Winogrande (5-shot) 78.45
GSM8k (5-shot) 14.25
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Evaluation results