Their non-commercial research license applies.
I used this script to make the model and used the tokenizer of CausalLM, as suggested in the comments of the script.
https://github.com/hiyouga/LLaMA-Factory/blob/main/tests/llamafy_qwen.py
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 42.94 |
| AI2 Reasoning Challenge (25-Shot) | 36.95 |
| HellaSwag (10-Shot) | 54.34 |
| MMLU (5-Shot) | 44.55 |
| TruthfulQA (0-shot) | 43.70 |
| Winogrande (5-shot) | 58.88 |
| GSM8k (5-shot) | 19.26 |
- Downloads last month
- 1,187
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 Leaderboard36.950
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard54.340
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard44.550
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard43.700
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard58.880
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard19.260