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 |
- Downloads last month
- 384
This model does not have enough activity to be deployed to Inference API (serverless) yet.
Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
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