vllm (pretrained=/root/autodl-tmp/Qwen2.5-14B-Instruct-1M-abliterated,add_bos_token=true,max_model_len=2048,tensor_parallel_size=2,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 | ↑ | 0.868 | ± | 0.0215 |
| | strict-match | 5 | exact_match | ↑ | 0.872 | ± | 0.0212 |
vllm (pretrained=/root/autodl-tmp/Qwen2.5-14B-Instruct-1M-abliterated,add_bos_token=true,max_model_len=2048,tensor_parallel_size=2,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 | ↑ | 0.872 | ± | 0.0150 |
| | strict-match | 5 | exact_match | ↑ | 0.870 | ± | 0.0151 |
vllm (pretrained=/root/autodl-tmp/Qwen2.5-14B-Instruct-1M-abliterated,add_bos_token=true,max_model_len=700,tensor_parallel_size=2,dtype=bfloat16,enforce_eager=True), gen_kwargs: (None), limit: 7.0, num_fewshot: None, batch_size: 1
| Groups | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| mmlu | 2 | none | | acc | ↑ | 0.7769 | ± | 0.0202 |
| - humanities | 2 | none | | acc | ↑ | 0.7692 | ± | 0.0440 |
| - other | 2 | none | | acc | ↑ | 0.7582 | ± | 0.0406 |
| - social sciences | 2 | none | | acc | ↑ | 0.8452 | ± | 0.0376 |
| - stem | 2 | none | | acc | ↑ | 0.7519 | ± | 0.0376 |
vllm (pretrained=/root/autodl-tmp/Qwen2.5-14B-Instruct-1M-abliterated-87,add_bos_token=true,max_model_len=2048,tensor_parallel_size=2,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 | ↑ | 0.864 | ± | 0.0217 |
| | strict-match | 5 | exact_match | ↑ | 0.864 | ± | 0.0217 |
vllm (pretrained=/root/autodl-tmp/Qwen2.5-14B-Instruct-1M-abliterated-87,add_bos_token=true,max_model_len=2048,tensor_parallel_size=2,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 | ↑ | 0.882 | ± | 0.0144 |
| | strict-match | 5 | exact_match | ↑ | 0.874 | ± | 0.0149 |
vllm (pretrained=/root/autodl-tmp/Qwen2.5-14B-Instruct-1M-abliterated-87,add_bos_token=true,max_model_len=700,tensor_parallel_size=2,dtype=bfloat16,enforce_eager=True), gen_kwargs: (None), limit: 7.0, num_fewshot: None, batch_size: 1
| Groups | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| mmlu | 2 | none | | acc | ↑ | 0.7769 | ± | 0.0201 |
| - humanities | 2 | none | | acc | ↑ | 0.7692 | ± | 0.0440 |
| - other | 2 | none | | acc | ↑ | 0.7692 | ± | 0.0391 |
| - social sciences | 2 | none | | acc | ↑ | 0.8333 | ± | 0.0370 |
| - stem | 2 | none | | acc | ↑ | 0.7519 | ± | 0.0381 |
