vllm (pretrained=/root/autodl-tmp/Magnum-v4-Cydonia-v1.3-22B-2,add_bos_token=true,tensor_parallel_size=4,max_model_len=2048,dtype=bfloat16), gen_kwargs: (None), limit: 250.0, num_fewshot: 5, batch_size: auto
| Tasks | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| gsm8k | 3 | flexible-extract | 5 | exact_match | ↑ | 0.832 | ± | 0.0237 |
| | strict-match | 5 | exact_match | ↑ | 0.808 | ± | 0.0250 |
vllm (pretrained=/root/autodl-tmp/Magnum-v4-Cydonia-v1.3-22B-2,add_bos_token=true,tensor_parallel_size=4,max_model_len=2048,dtype=bfloat16), gen_kwargs: (None), limit: 500.0, num_fewshot: 5, batch_size: auto
| Tasks | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| gsm8k | 3 | flexible-extract | 5 | exact_match | ↑ | 0.846 | ± | 0.0162 |
| | strict-match | 5 | exact_match | ↑ | 0.814 | ± | 0.0174 |
vllm (pretrained=/root/autodl-tmp/Magnum-v4-Cydonia-v1.3-22B-2-89,add_bos_token=true,tensor_parallel_size=2,max_model_len=2048,dtype=bfloat16), gen_kwargs: (None), limit: 250.0, num_fewshot: 5, batch_size: auto
| Tasks | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| gsm8k | 3 | flexible-extract | 5 | exact_match | ↑ | 0.848 | ± | 0.0228 |
| | strict-match | 5 | exact_match | ↑ | 0.820 | ± | 0.0243 |
vllm (pretrained=/root/autodl-tmp/Magnum-v4-Cydonia-v1.3-22B-2-89,add_bos_token=true,tensor_parallel_size=2,max_model_len=2048,dtype=bfloat16), gen_kwargs: (None), limit: 500.0, num_fewshot: 5, batch_size: auto
| Tasks | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| gsm8k | 3 | flexible-extract | 5 | exact_match | ↑ | 0.850 | ± | 0.0160 |
| | strict-match | 5 | exact_match | ↑ | 0.812 | ± | 0.0175 |
