vllm (pretrained=/root/autodl-tmp/Mistral-Small-24B-Instruct-2501-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 | ↑ | 0.912 | ± | 0.0180 |
strict-match | 5 | exact_match | ↑ | 0.908 | ± | 0.0183 |
vllm (pretrained=/root/autodl-tmp/Mistral-Small-24B-Instruct-2501-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 | ↑ | 0.898 | ± | 0.0135 |
strict-match | 5 | exact_match | ↑ | 0.894 | ± | 0.0138 |
vllm (pretrained=/root/autodl-tmp/Mistral-Small-24B-Instruct-2501-abliterated,add_bos_token=true,max_model_len=700,tensor_parallel_size=2,dtype=bfloat16), gen_kwargs: (None), limit: 15.0, num_fewshot: None, batch_size: 1
Groups | Version | Filter | n-shot | Metric | Value | Stderr | ||
---|---|---|---|---|---|---|---|---|
mmlu | 2 | none | acc | ↑ | 0.8000 | ± | 0.0130 | |
- humanities | 2 | none | acc | ↑ | 0.8410 | ± | 0.0260 | |
- other | 2 | none | acc | ↑ | 0.8154 | ± | 0.0264 | |
- social sciences | 2 | none | acc | ↑ | 0.8500 | ± | 0.0251 | |
- stem | 2 | none | acc | ↑ | 0.7298 | ± | 0.0248 |
vllm (pretrained=/root/autodl-tmp/85-512,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 | ↑ | 0.896 | ± | 0.0193 |
strict-match | 5 | exact_match | ↑ | 0.892 | ± | 0.0197 |
vllm (pretrained=/root/autodl-tmp/85-512,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 | ↑ | 0.900 | ± | 0.0134 |
strict-match | 5 | exact_match | ↑ | 0.894 | ± | 0.0138 |
vllm (pretrained=/root/autodl-tmp/85-512,add_bos_token=true,max_model_len=700,tensor_parallel_size=2,dtype=bfloat16), gen_kwargs: (None), limit: 15.0, num_fewshot: None, batch_size: 1
Groups | Version | Filter | n-shot | Metric | Value | Stderr | ||
---|---|---|---|---|---|---|---|---|
mmlu | 2 | none | acc | ↑ | 0.7942 | ± | 0.0130 | |
- humanities | 2 | none | acc | ↑ | 0.8256 | ± | 0.0264 | |
- other | 2 | none | acc | ↑ | 0.8154 | ± | 0.0269 | |
- social sciences | 2 | none | acc | ↑ | 0.8500 | ± | 0.0252 | |
- stem | 2 | none | acc | ↑ | 0.7228 | ± | 0.0245 |
vllm (pretrained=/root/autodl-tmp/86-2048,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 | ↑ | 0.912 | ± | 0.018 |
strict-match | 5 | exact_match | ↑ | 0.912 | ± | 0.018 |
vllm (pretrained=/root/autodl-tmp/86-2048,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 | ↑ | 0.914 | ± | 0.0126 |
strict-match | 5 | exact_match | ↑ | 0.908 | ± | 0.0129 |
vllm (pretrained=/root/autodl-tmp/86-2048,add_bos_token=true,max_model_len=700,tensor_parallel_size=2,dtype=bfloat16), gen_kwargs: (None), limit: 15.0, num_fewshot: None, batch_size: 1
Groups | Version | Filter | n-shot | Metric | Value | Stderr | ||
---|---|---|---|---|---|---|---|---|
mmlu | 2 | none | acc | ↑ | 0.8000 | ± | 0.0129 | |
- humanities | 2 | none | acc | ↑ | 0.8308 | ± | 0.0263 | |
- other | 2 | none | acc | ↑ | 0.8103 | ± | 0.0258 | |
- social sciences | 2 | none | acc | ↑ | 0.8500 | ± | 0.0253 | |
- stem | 2 | none | acc | ↑ | 0.7404 | ± | 0.0248 |
vllm (pretrained=/root/autodl-tmp/output-876-512,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 | ↑ | 0.908 | ± | 0.0183 |
strict-match | 5 | exact_match | ↑ | 0.900 | ± | 0.0190 |
vllm (pretrained=/root/autodl-tmp/output-876-512,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 | ↑ | 0.908 | ± | 0.0129 |
strict-match | 5 | exact_match | ↑ | 0.902 | ± | 0.0133 |
vllm (pretrained=/root/autodl-tmp/output-876-512,add_bos_token=true,max_model_len=700,tensor_parallel_size=2,dtype=bfloat16), gen_kwargs: (None), limit: 15.0, num_fewshot: None, batch_size: 1
Groups | Version | Filter | n-shot | Metric | Value | Stderr | ||
---|---|---|---|---|---|---|---|---|
mmlu | 2 | none | acc | ↑ | 0.8035 | ± | 0.0128 | |
- humanities | 2 | none | acc | ↑ | 0.8410 | ± | 0.0255 | |
- other | 2 | none | acc | ↑ | 0.8205 | ± | 0.0259 | |
- social sciences | 2 | none | acc | ↑ | 0.8556 | ± | 0.0250 | |
- stem | 2 | none | acc | ↑ | 0.7333 | ± | 0.0248 |
vllm (pretrained=/root/autodl-tmp/output-876-2048,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 | ↑ | 0.904 | ± | 0.0187 |
strict-match | 5 | exact_match | ↑ | 0.900 | ± | 0.0190 |
vllm (pretrained=/root/autodl-tmp/output-876-2048,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 | ↑ | 0.898 | ± | 0.0135 |
strict-match | 5 | exact_match | ↑ | 0.892 | ± | 0.0139 |
vllm (pretrained=/root/autodl-tmp/output-876-2048,add_bos_token=true,max_model_len=700,tensor_parallel_size=2,dtype=bfloat16), gen_kwargs: (None), limit: 15.0, num_fewshot: None, batch_size: 1
Groups | Version | Filter | n-shot | Metric | Value | Stderr | ||
---|---|---|---|---|---|---|---|---|
mmlu | 2 | none | acc | ↑ | 0.7977 | ± | 0.0130 | |
- humanities | 2 | none | acc | ↑ | 0.8256 | ± | 0.0261 | |
- other | 2 | none | acc | ↑ | 0.8154 | ± | 0.0266 | |
- social sciences | 2 | none | acc | ↑ | 0.8556 | ± | 0.0248 | |
- stem | 2 | none | acc | ↑ | 0.7298 | ± | 0.0248 |
vllm (pretrained=/root/autodl-tmp/output-89-512,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 | ↑ | 0.9 | ± | 0.019 |
strict-match | 5 | exact_match | ↑ | 0.9 | ± | 0.019 |
vllm (pretrained=/root/autodl-tmp/output-89-512,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 | ↑ | 0.902 | ± | 0.0133 |
strict-match | 5 | exact_match | ↑ | 0.898 | ± | 0.0135 |
vllm (pretrained=/root/autodl-tmp/output-89-512,add_bos_token=true,max_model_len=700,tensor_parallel_size=2,dtype=bfloat16), gen_kwargs: (None), limit: 15.0, num_fewshot: None, batch_size: 1
Groups | Version | Filter | n-shot | Metric | Value | Stderr | ||
---|---|---|---|---|---|---|---|---|
mmlu | 2 | none | acc | ↑ | 0.7988 | ± | 0.0129 | |
- humanities | 2 | none | acc | ↑ | 0.8256 | ± | 0.0261 | |
- other | 2 | none | acc | ↑ | 0.8154 | ± | 0.0269 | |
- social sciences | 2 | none | acc | ↑ | 0.8500 | ± | 0.0255 | |
- stem | 2 | none | acc | ↑ | 0.7368 | ± | 0.0243 |
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