Performance LLMs - Base Models
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Open Source License The code is licensed under Apache-2.0, while model weights are fully open for academic research and also allow free commercial usage. To apply for a commercial license, please fill in the application form (English)/申请表（中文）. For other questions or collaborations, please contact [email protected].
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 65.09 |
| AI2 Reasoning Challenge (25-Shot) | 61.35 |
| HellaSwag (10-Shot) | 82.08 |
| MMLU (5-Shot) | 61.59 |
| TruthfulQA (0-shot) | 57.71 |
| Winogrande (5-shot) | 76.72 |
| GSM8k (5-shot) | 51.10 |
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Model tree for KnutJaegersberg/internlm-20b-llama
Collection including KnutJaegersberg/internlm-20b-llama
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard61.350
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard82.080
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard61.590
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard57.710
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard76.720
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard51.100