---
base_model:
- agentica-org/DeepCoder-14B-Preview
---
vllm (pretrained=/root/autodl-tmp/DeepCoder-14B-Preview,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|↑  |0.732|±  |0.0281|
|     |       |strict-match    |     5|exact_match|↑  |0.856|±  |0.0222|

vllm (pretrained=/root/autodl-tmp/DeepCoder-14B-Preview,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|↑  |0.766|±  |0.0190|
|     |       |strict-match    |     5|exact_match|↑  |0.856|±  |0.0157|

vllm (pretrained=/root/autodl-tmp/DeepCoder-14B-Preview,add_bos_token=true,max_model_len=3096,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   |↑  |0.7345|±  |0.0139|
| - humanities     |      2|none  |      |acc   |↑  |0.7333|±  |0.0283|
| - other          |      2|none  |      |acc   |↑  |0.7385|±  |0.0295|
| - social sciences|      2|none  |      |acc   |↑  |0.8000|±  |0.0285|
| - stem           |      2|none  |      |acc   |↑  |0.6912|±  |0.0254|


vllm (pretrained=/root/autodl-tmp/80-256,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|↑  |0.768|±  |0.0268|
|     |       |strict-match    |     5|exact_match|↑  |0.868|±  |0.0215|

vllm (pretrained=/root/autodl-tmp/80-256,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|↑  |0.764|±  |0.0190|
|     |       |strict-match    |     5|exact_match|↑  |0.884|±  |0.0143|

vllm (pretrained=/root/autodl-tmp/80-256,add_bos_token=true,max_model_len=3096,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   |↑  |0.7345|±  |0.0139|
| - humanities     |      2|none  |      |acc   |↑  |0.7179|±  |0.0287|
| - other          |      2|none  |      |acc   |↑  |0.7538|±  |0.0287|
| - social sciences|      2|none  |      |acc   |↑  |0.8167|±  |0.0275|
| - stem           |      2|none  |      |acc   |↑  |0.6807|±  |0.0257|