Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-72B-v1.5b was trained on the Qwen-72B base.
Prompt Format:
SYSTEM: <ANY SYSTEM CONTEXT>
USER:
ASSISTANT:
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 77.30 |
| AI2 Reasoning Challenge (25-Shot) | 71.25 |
| HellaSwag (10-Shot) | 85.53 |
| MMLU (5-Shot) | 76.63 |
| TruthfulQA (0-shot) | 71.99 |
| Winogrande (5-shot) | 81.45 |
| GSM8k (5-shot) | 76.95 |
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Model tree for migtissera/Tess-72B-v1.5b
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard71.250
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard85.530
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard76.630
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard71.990
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard81.450
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard76.950