---
base_model:
- shisa-ai/shisa-v2-mistral-small-24b
---
vllm (pretrained=/root/autodl-tmp/shisa-v2-mistral-small-24b,add_bos_token=true,max_model_len=3096,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|↑  |0.896|±  |0.0193|

vllm (pretrained=/root/autodl-tmp/shisa-v2-mistral-small-24b,add_bos_token=true,max_model_len=3096,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|↑  |0.910|±  |0.0128|
|     |       |strict-match    |     5|exact_match|↑  |0.894|±  |0.0138|

vllm (pretrained=/root/autodl-tmp/shisa-v2-mistral-small-24b,add_bos_token=true,max_model_len=3048,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   |↑  |0.7801|±  |0.0132|
| - humanities     |      2|none  |      |acc   |↑  |0.8359|±  |0.0253|
| - other          |      2|none  |      |acc   |↑  |0.7897|±  |0.0272|
| - social sciences|      2|none  |      |acc   |↑  |0.8167|±  |0.0280|
| - stem           |      2|none  |      |acc   |↑  |0.7123|±  |0.0248|


vllm (pretrained=/root/autodl-tmp/shisa-v2-mistral-small-24b-W8A8-INT8,add_bos_token=true,max_model_len=3096,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|↑  |0.756|±  |0.0272|
|     |       |strict-match    |     5|exact_match|↑  |0.788|±  |0.0259|

vllm (pretrained=/root/autodl-tmp/shisa-v2-mistral-small-24b-W8A8-INT8,add_bos_token=true,max_model_len=3096,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|↑  |0.772|±  |0.0188|
|     |       |strict-match    |     5|exact_match|↑  |0.790|±  |0.0182|

vllm (pretrained=/root/autodl-tmp/shisa-v2-mistral-small-24b-W8A8-INT8,add_bos_token=true,max_model_len=3048,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   |↑  |0.7450|±  |0.0137|
| - humanities     |      2|none  |      |acc   |↑  |0.8000|±  |0.0257|
| - other          |      2|none  |      |acc   |↑  |0.7487|±  |0.0283|
| - social sciences|      2|none  |      |acc   |↑  |0.8000|±  |0.0286|
| - stem           |      2|none  |      |acc   |↑  |0.6702|±  |0.0259|


vllm (pretrained=/root/autodl-tmp/70-10-128,add_bos_token=true,max_model_len=3096,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|↑  |0.888|±  |0.0200|
|     |       |strict-match    |     5|exact_match|↑  |0.864|±  |0.0217|

vllm (pretrained=/root/autodl-tmp/70-10-128,add_bos_token=true,max_model_len=3096,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|↑  |0.894|±  |0.0138|
|     |       |strict-match    |     5|exact_match|↑  |0.866|±  |0.0152|

vllm (pretrained=/root/autodl-tmp/70-10-128,add_bos_token=true,max_model_len=3048,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   |↑  |0.7743|±  |0.0135|
| - humanities     |      2|none  |      |acc   |↑  |0.8000|±  |0.0255|
| - other          |      2|none  |      |acc   |↑  |0.7897|±  |0.0275|
| - social sciences|      2|none  |      |acc   |↑  |0.8056|±  |0.0289|
| - stem           |      2|none  |      |acc   |↑  |0.7263|±  |0.0252|


vllm (pretrained=/root/autodl-tmp/70-10-256,add_bos_token=true,max_model_len=3096,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|↑  |0.888|±  |0.0200|
|     |       |strict-match    |     5|exact_match|↑  |0.852|±  |0.0225|

vllm (pretrained=/root/autodl-tmp/70-10-256,add_bos_token=true,max_model_len=3096,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|↑  |0.862|±  |0.0154|

vllm (pretrained=/root/autodl-tmp/70-10-256,add_bos_token=true,max_model_len=3048,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   |↑  |0.7731|±  |0.0134|
| - humanities     |      2|none  |      |acc   |↑  |0.8103|±  |0.0255|
| - other          |      2|none  |      |acc   |↑  |0.7744|±  |0.0280|
| - social sciences|      2|none  |      |acc   |↑  |0.8056|±  |0.0285|
| - stem           |      2|none  |      |acc   |↑  |0.7263|±  |0.0250|


vllm (pretrained=/root/autodl-tmp/70-10-512,add_bos_token=true,max_model_len=3096,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|↑  |0.884|±  |0.0203|
|     |       |strict-match    |     5|exact_match|↑  |0.864|±  |0.0217|

vllm (pretrained=/root/autodl-tmp/70-10-512,add_bos_token=true,max_model_len=3096,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|↑  |0.892|±  |0.0139|
|     |       |strict-match    |     5|exact_match|↑  |0.860|±  |0.0155|

vllm (pretrained=/root/autodl-tmp/70-10-512,add_bos_token=true,max_model_len=3048,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   |↑  |0.7801|±  |0.0133|
| - humanities     |      2|none  |      |acc   |↑  |0.8154|±  |0.0258|
| - other          |      2|none  |      |acc   |↑  |0.7846|±  |0.0282|
| - social sciences|      2|none  |      |acc   |↑  |0.8222|±  |0.0275|
| - stem           |      2|none  |      |acc   |↑  |0.7263|±  |0.0244|


vllm (pretrained=/root/autodl-tmp/70-10-1024,add_bos_token=true,max_model_len=3096,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|↑  |0.892|±  |0.0197|
|     |       |strict-match    |     5|exact_match|↑  |0.872|±  |0.0212|

vllm (pretrained=/root/autodl-tmp/70-10-1024,add_bos_token=true,max_model_len=3096,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|↑  |0.904|±  |0.0132|
|     |       |strict-match    |     5|exact_match|↑  |0.878|±  |0.0147|

vllm (pretrained=/root/autodl-tmp/70-10-1024,add_bos_token=true,max_model_len=3048,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   |↑  |0.7696|±  |0.0135|
| - humanities     |      2|none  |      |acc   |↑  |0.7949|±  |0.0259|
| - other          |      2|none  |      |acc   |↑  |0.7641|±  |0.0289|
| - social sciences|      2|none  |      |acc   |↑  |0.8222|±  |0.0276|
| - stem           |      2|none  |      |acc   |↑  |0.7228|±  |0.0250|


vllm (pretrained=/root/autodl-tmp/70-10-2048,add_bos_token=true,max_model_len=3096,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|↑  |0.860|±  | 0.022|
|     |       |strict-match    |     5|exact_match|↑  |0.844|±  | 0.023|

vllm (pretrained=/root/autodl-tmp/70-10-2048,add_bos_token=true,max_model_len=3096,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|↑  |0.880|±  |0.0145|
|     |       |strict-match    |     5|exact_match|↑  |0.856|±  |0.0157|

vllm (pretrained=/root/autodl-tmp/70-10-2048,add_bos_token=true,max_model_len=3048,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   |↑  |0.7684|±  |0.0133|
| - humanities     |      2|none  |      |acc   |↑  |0.8154|±  |0.0251|
| - other          |      2|none  |      |acc   |↑  |0.7795|±  |0.0280|
| - social sciences|      2|none  |      |acc   |↑  |0.8167|±  |0.0276|
| - stem           |      2|none  |      |acc   |↑  |0.6982|±  |0.0250|


vllm (pretrained=/root/autodl-tmp/70-09-256,add_bos_token=true,max_model_len=3096,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|↑  |0.872|±  |0.0212|
|     |       |strict-match    |     5|exact_match|↑  |0.860|±  |0.0220|

vllm (pretrained=/root/autodl-tmp/70-09-256,add_bos_token=true,max_model_len=3096,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|↑  |0.890|±  |0.0140|
|     |       |strict-match    |     5|exact_match|↑  |0.866|±  |0.0152|

vllm (pretrained=/root/autodl-tmp/70-09-256,add_bos_token=true,max_model_len=3048,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   |↑  |0.7754|±  |0.0134|
| - humanities     |      2|none  |      |acc   |↑  |0.7949|±  |0.0265|
| - other          |      2|none  |      |acc   |↑  |0.7846|±  |0.0282|
| - social sciences|      2|none  |      |acc   |↑  |0.8167|±  |0.0275|
| - stem           |      2|none  |      |acc   |↑  |0.7298|±  |0.0248|


vllm (pretrained=/root/autodl-tmp/70-08-256,add_bos_token=true,max_model_len=3096,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|↑  |0.876|±  |0.0209|

vllm (pretrained=/root/autodl-tmp/70-08-256,add_bos_token=true,max_model_len=3096,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|↑  |0.886|±  |0.0142|
|     |       |strict-match    |     5|exact_match|↑  |0.860|±  |0.0155|

vllm (pretrained=/root/autodl-tmp/70-08-256,add_bos_token=true,max_model_len=3048,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   |↑  |0.7649|±  |0.0134|
| - humanities     |      2|none  |      |acc   |↑  |0.7949|±  |0.0255|
| - other          |      2|none  |      |acc   |↑  |0.7795|±  |0.0280|
| - social sciences|      2|none  |      |acc   |↑  |0.8056|±  |0.0288|
| - stem           |      2|none  |      |acc   |↑  |0.7088|±  |0.0250|


vllm (pretrained=/root/autodl-tmp/75-10-512,add_bos_token=true,max_model_len=3096,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|↑  |0.840|±  |0.0232|

vllm (pretrained=/root/autodl-tmp/75-10-512,add_bos_token=true,max_model_len=3096,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|↑  |0.888|±  |0.0141|
|     |       |strict-match    |     5|exact_match|↑  |0.860|±  |0.0155|

vllm (pretrained=/root/autodl-tmp/75-10-512,add_bos_token=true,max_model_len=3048,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   |↑  |0.7754|±  |0.0133|
| - humanities     |      2|none  |      |acc   |↑  |0.8000|±  |0.0255|
| - other          |      2|none  |      |acc   |↑  |0.7846|±  |0.0276|
| - social sciences|      2|none  |      |acc   |↑  |0.8222|±  |0.0276|
| - stem           |      2|none  |      |acc   |↑  |0.7228|±  |0.0252|


vllm (pretrained=/root/autodl-tmp/75-7-256,add_bos_token=true,max_model_len=3096,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|↑  |0.888|±  |0.0200|
|     |       |strict-match    |     5|exact_match|↑  |0.856|±  |0.0222|

vllm (pretrained=/root/autodl-tmp/75-7-256,add_bos_token=true,max_model_len=3096,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|↑  |0.854|±  |0.0158|

vllm (pretrained=/root/autodl-tmp/75-7-256,add_bos_token=true,max_model_len=3048,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   |↑  |0.7696|±  |0.0134|
| - humanities     |      2|none  |      |acc   |↑  |0.8103|±  |0.0248|
| - other          |      2|none  |      |acc   |↑  |0.7692|±  |0.0279|
| - social sciences|      2|none  |      |acc   |↑  |0.8111|±  |0.0283|
| - stem           |      2|none  |      |acc   |↑  |0.7158|±  |0.0252|


vllm (pretrained=/root/autodl-tmp/75-7-512,add_bos_token=true,max_model_len=3096,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|↑  |0.880|±  |0.0206|
|     |       |strict-match    |     5|exact_match|↑  |0.848|±  |0.0228|

vllm (pretrained=/root/autodl-tmp/75-7-512,add_bos_token=true,max_model_len=3096,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|↑  |0.864|±  |0.0153|

vllm (pretrained=/root/autodl-tmp/75-7-512,add_bos_token=true,max_model_len=3048,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   |↑  |0.7801|±  |0.0133|
| - humanities     |      2|none  |      |acc   |↑  |0.8103|±  |0.0264|
| - other          |      2|none  |      |acc   |↑  |0.8103|±  |0.0272|
| - social sciences|      2|none  |      |acc   |↑  |0.8278|±  |0.0273|
| - stem           |      2|none  |      |acc   |↑  |0.7088|±  |0.0251|


vllm (pretrained=/root/autodl-tmp/75-7-1024,add_bos_token=true,max_model_len=3096,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|↑  |0.860|±  |0.0220|
|     |       |strict-match    |     5|exact_match|↑  |0.832|±  |0.0237|

vllm (pretrained=/root/autodl-tmp/75-7-1024,add_bos_token=true,max_model_len=3096,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|↑  |0.852|±  |0.0159|

vllm (pretrained=/root/autodl-tmp/75-7-1024,add_bos_token=true,max_model_len=3048,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   |↑  |0.7766|±  |0.0133|
| - humanities     |      2|none  |      |acc   |↑  |0.8154|±  |0.0252|
| - other          |      2|none  |      |acc   |↑  |0.7897|±  |0.0271|
| - social sciences|      2|none  |      |acc   |↑  |0.8056|±  |0.0286|
| - stem           |      2|none  |      |acc   |↑  |0.7228|±  |0.0250|


vllm (pretrained=/root/autodl-tmp/79-1-512,add_bos_token=true,max_model_len=3096,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|↑  |0.884|±  |0.0203|
|     |       |strict-match    |     5|exact_match|↑  |0.860|±  |0.0220|

vllm (pretrained=/root/autodl-tmp/79-1-512,add_bos_token=true,max_model_len=3096,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|↑  |0.896|±  |0.0137|
|     |       |strict-match    |     5|exact_match|↑  |0.872|±  |0.0150|

vllm (pretrained=/root/autodl-tmp/79-1-512,add_bos_token=true,max_model_len=3048,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   |↑  |0.7719|±  |0.0135|
| - humanities     |      2|none  |      |acc   |↑  |0.8051|±  |0.0259|
| - other          |      2|none  |      |acc   |↑  |0.7846|±  |0.0276|
| - social sciences|      2|none  |      |acc   |↑  |0.8056|±  |0.0287|
| - stem           |      2|none  |      |acc   |↑  |0.7193|±  |0.0251|


vllm (pretrained=/root/autodl-tmp/79-1-1024,add_bos_token=true,max_model_len=3096,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|↑  |0.872|±  |0.0212|

vllm (pretrained=/root/autodl-tmp/79-1-1024,add_bos_token=true,max_model_len=3096,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|↑  |0.880|±  |0.0145|
|     |       |strict-match    |     5|exact_match|↑  |0.858|±  |0.0156|

vllm (pretrained=/root/autodl-tmp/79-1-1024,add_bos_token=true,max_model_len=3048,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   |↑  |0.7778|±  |0.0132|
| - humanities     |      2|none  |      |acc   |↑  |0.8154|±  |0.0247|
| - other          |      2|none  |      |acc   |↑  |0.7846|±  |0.0281|
| - social sciences|      2|none  |      |acc   |↑  |0.8333|±  |0.0270|
| - stem           |      2|none  |      |acc   |↑  |0.7123|±  |0.0250|


vllm (pretrained=/root/autodl-tmp/795-2-256,add_bos_token=true,max_model_len=3096,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|↑  |0.864|±  |0.0217|

vllm (pretrained=/root/autodl-tmp/795-2-256,add_bos_token=true,max_model_len=3096,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|↑  |0.906|±  |0.0131|
|     |       |strict-match    |     5|exact_match|↑  |0.866|±  |0.0152|

vllm (pretrained=/root/autodl-tmp/795-2-256,add_bos_token=true,max_model_len=3048,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   |↑  |0.7743|±  |0.0133|
| - humanities     |      2|none  |      |acc   |↑  |0.8000|±  |0.0254|
| - other          |      2|none  |      |acc   |↑  |0.8000|±  |0.0273|
| - social sciences|      2|none  |      |acc   |↑  |0.8333|±  |0.0268|
| - stem           |      2|none  |      |acc   |↑  |0.7018|±  |0.0254|


vllm (pretrained=/root/autodl-tmp/795-2-512,add_bos_token=true,max_model_len=3096,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|↑  |0.884|±  |0.0203|
|     |       |strict-match    |     5|exact_match|↑  |0.860|±  |0.0220|

vllm (pretrained=/root/autodl-tmp/795-2-512,add_bos_token=true,max_model_len=3096,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|↑  |0.896|±  |0.0137|
|     |       |strict-match    |     5|exact_match|↑  |0.866|±  |0.0152|

vllm (pretrained=/root/autodl-tmp/795-2-512,add_bos_token=true,max_model_len=3048,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   |↑  |0.7731|±  |0.0134|
| - humanities     |      2|none  |      |acc   |↑  |0.8205|±  |0.0250|
| - other          |      2|none  |      |acc   |↑  |0.7692|±  |0.0278|
| - social sciences|      2|none  |      |acc   |↑  |0.7889|±  |0.0297|
| - stem           |      2|none  |      |acc   |↑  |0.7333|±  |0.0247|


vllm (pretrained=/root/autodl-tmp/799-1-256,add_bos_token=true,max_model_len=3096,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|↑  |0.892|±  |0.0197|
|     |       |strict-match    |     5|exact_match|↑  |0.864|±  |0.0217|

vllm (pretrained=/root/autodl-tmp/799-1-256,add_bos_token=true,max_model_len=3096,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|↑  |0.886|±  |0.0142|
|     |       |strict-match    |     5|exact_match|↑  |0.852|±  |0.0159|

vllm (pretrained=/root/autodl-tmp/799-1-256,add_bos_token=true,max_model_len=3048,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   |↑  |0.7778|±  |0.0132|
| - humanities     |      2|none  |      |acc   |↑  |0.8154|±  |0.0253|
| - other          |      2|none  |      |acc   |↑  |0.7846|±  |0.0275|
| - social sciences|      2|none  |      |acc   |↑  |0.8111|±  |0.0284|
| - stem           |      2|none  |      |acc   |↑  |0.7263|±  |0.0244|


vllm (pretrained=/root/autodl-tmp/86-05-512,add_bos_token=true,max_model_len=3096,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|↑  |0.892|±  |0.0197|

vllm (pretrained=/root/autodl-tmp/86-05-512,add_bos_token=true,max_model_len=3096,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|↑  | 0.91|±  |0.0128|
|     |       |strict-match    |     5|exact_match|↑  | 0.89|±  |0.0140|

vllm (pretrained=/root/autodl-tmp/86-05-512,add_bos_token=true,max_model_len=3048,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   |↑  |0.7801|±  |0.0132|
| - humanities     |      2|none  |      |acc   |↑  |0.8308|±  |0.0250|
| - other          |      2|none  |      |acc   |↑  |0.7897|±  |0.0273|
| - social sciences|      2|none  |      |acc   |↑  |0.8167|±  |0.0279|
| - stem           |      2|none  |      |acc   |↑  |0.7158|±  |0.0249|