This model is tuned on the LogiCoT data and the GPT-4 alpaca data with the LLaMa-7b model.
We use 2 A100 GPUs
We first instruction-tuning LLaMa-7b on the GPT-4 alpaca data for 3 days, then on the LogiCoT data for 4 days.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 39.37 |
ARC (25-shot) | 47.01 |
HellaSwag (10-shot) | 72.56 |
MMLU (5-shot) | 38.93 |
TruthfulQA (0-shot) | 43.63 |
Winogrande (5-shot) | 67.56 |
GSM8K (5-shot) | 0.0 |
DROP (3-shot) | 5.92 |
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