---
base_model:
- deepcogito/cogito-v1-preview-qwen-32B
---
vllm (pretrained=/root/autodl-tmp/cogito-v1-preview-qwen-32B,add_bos_token=true,max_model_len=3096,dtype=bfloat16,tensor_parallel_size=4), 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|↑  |0.900|±  |0.0190|
|     |       |strict-match    |     5|exact_match|↑  |0.948|±  |0.0141|

vllm (pretrained=/root/autodl-tmp/cogito-v1-preview-qwen-32B,add_bos_token=true,max_model_len=3096,dtype=bfloat16,tensor_parallel_size=4), 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|↑  |0.930|±  |0.0114|

vllm (pretrained=/root/autodl-tmp/cogito-v1-preview-qwen-32B,add_bos_token=true,max_model_len=3096,dtype=bfloat16,tensor_parallel_size=4), gen_kwargs: (None), limit: 5.0, num_fewshot: None, batch_size: 1
|      Groups      |Version|Filter|n-shot|Metric|   |Value |   |Stderr|
|------------------|------:|------|------|------|---|-----:|---|-----:|
|mmlu              |      2|none  |      |acc   |↑  |0.8947|±  |0.0175|
| - humanities     |      2|none  |      |acc   |↑  |0.9231|±  |0.0308|
| - other          |      2|none  |      |acc   |↑  |0.8769|±  |0.0407|
| - social sciences|      2|none  |      |acc   |↑  |0.9167|±  |0.0354|
| - stem           |      2|none  |      |acc   |↑  |0.8737|±  |0.0324|


vllm (pretrained=/root/autodl-tmp/cogito-v1-preview-qwen-32B-awq,add_bos_token=true,max_model_len=3096,dtype=bfloat16,tensor_parallel_size=4), 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|↑  |0.924|±  |0.0168|
|     |       |strict-match    |     5|exact_match|↑  |0.936|±  |0.0155|

vllm (pretrained=/root/autodl-tmp/cogito-v1-preview-qwen-32B-awq,add_bos_token=true,max_model_len=3096,dtype=bfloat16,tensor_parallel_size=4), 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|↑  |0.920|±  |0.0121|
|     |       |strict-match    |     5|exact_match|↑  |0.934|±  |0.0111|

vllm (pretrained=/root/autodl-tmp/cogito-v1-preview-qwen-32B-awq,add_bos_token=true,max_model_len=3096,dtype=bfloat16,tensor_parallel_size=4), gen_kwargs: (None), limit: 5.0, num_fewshot: None, batch_size: 1
|      Groups      |Version|Filter|n-shot|Metric|   |Value |   |Stderr|
|------------------|------:|------|------|------|---|-----:|---|-----:|
|mmlu              |      2|none  |      |acc   |↑  |0.8982|±  |0.0170|
| - humanities     |      2|none  |      |acc   |↑  |0.8769|±  |0.0377|
| - other          |      2|none  |      |acc   |↑  |0.8769|±  |0.0407|
| - social sciences|      2|none  |      |acc   |↑  |0.9500|±  |0.0289|
| - stem           |      2|none  |      |acc   |↑  |0.8947|±  |0.0288|