opencompass/configs/datasets/TheoremQA/README.md

# TheoremQA

```bash
python3 run.py --models hf_internlm2_7b --datasets TheoremQA_5shot_gen_6f0af8 --debug
python3 run.py --models hf_internlm2_chat_7b --datasets TheoremQA_5shot_gen_6f0af8 --debug
```

## Base Models

|          model           |   TheoremQA |
|:------------------------:|------------:|
|    llama-7b-turbomind    |       10.25 |
|   llama-13b-turbomind    |       11.25 |
|   llama-30b-turbomind    |       14.25 |
|   llama-65b-turbomind    |       15.62 |
|   llama-2-7b-turbomind   |       12.62 |
|  llama-2-13b-turbomind   |       11.88 |
|  llama-2-70b-turbomind   |       15.62 |
|   llama-3-8b-turbomind   |       20.25 |
|  llama-3-70b-turbomind   |       33.62 |
| internlm2-1.8b-turbomind |       10.50 |
|  internlm2-7b-turbomind  |       21.88 |
| internlm2-20b-turbomind  |       26.00 |
|   qwen-1.8b-turbomind    |        9.38 |
|    qwen-7b-turbomind     |       15.00 |
|    qwen-14b-turbomind    |       21.62 |
|    qwen-72b-turbomind    |       27.12 |
|     qwen1.5-0.5b-hf      |        5.88 |
|     qwen1.5-1.8b-hf      |       12.00 |
|      qwen1.5-4b-hf       |       13.75 |
|      qwen1.5-7b-hf       |        4.25 |
|      qwen1.5-14b-hf      |       12.62 |
|      qwen1.5-32b-hf      |       26.62 |
|      qwen1.5-72b-hf      |       26.62 |
|   qwen1.5-moe-a2-7b-hf   |        7.50 |
|    mistral-7b-v0.1-hf    |       17.00 |
|    mistral-7b-v0.2-hf    |       16.25 |
|   mixtral-8x7b-v0.1-hf   |       24.12 |
|  mixtral-8x22b-v0.1-hf   |       36.75 |
|         yi-6b-hf         |       13.88 |
|        yi-34b-hf         |       24.75 |
|   deepseek-7b-base-hf    |       12.38 |
|   deepseek-67b-base-hf   |       21.25 |

## Chat Models

|             model             |   TheoremQA |
|:-----------------------------:|------------:|
|     qwen1.5-0.5b-chat-hf      |        9.00 |
|     qwen1.5-1.8b-chat-hf      |        9.25 |
|      qwen1.5-4b-chat-hf       |       13.88 |
|      qwen1.5-7b-chat-hf       |       12.25 |
|      qwen1.5-14b-chat-hf      |       13.63 |
|      qwen1.5-32b-chat-hf      |       19.25 |
|      qwen1.5-72b-chat-hf      |       22.75 |
|     qwen1.5-110b-chat-hf      |       17.50 |
|    internlm2-chat-1.8b-hf     |       13.63 |
|  internlm2-chat-1.8b-sft-hf   |       12.88 |
|     internlm2-chat-7b-hf      |       18.50 |
|   internlm2-chat-7b-sft-hf    |       18.75 |
|     internlm2-chat-20b-hf     |       23.00 |
|   internlm2-chat-20b-sft-hf   |       25.12 |
|    llama-3-8b-instruct-hf     |       19.38 |
|    llama-3-70b-instruct-hf    |       36.25 |
| llama-3-8b-instruct-lmdeploy  |       19.62 |
| llama-3-70b-instruct-lmdeploy |       34.50 |
|  mistral-7b-instruct-v0.1-hf  |       12.62 |
|  mistral-7b-instruct-v0.2-hf  |       11.38 |
| mixtral-8x7b-instruct-v0.1-hf |       26.00 |