---
base_model:
- huihui-ai/QwQ-32B-abliterated
---
vllm (pretrained=/root/autodl-tmp/QwQ-32B,add_bos_token=true,max_model_len=4096,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|↑  |0.432|±  |0.0314|
|     |       |strict-match    |     5|exact_match|↑  |0.744|±  |0.0277|

vllm (pretrained=/root/autodl-tmp/QwQ-32B,add_bos_token=true,max_model_len=4096,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|↑  |0.444|±  |0.0222|
|     |       |strict-match    |     5|exact_match|↑  |0.716|±  |0.0202|

|      Groups      |Version|Filter|n-shot|Metric|   |Value |   |Stderr|
|------------------|------:|------|------|------|---|-----:|---|-----:|
|mmlu              |      2|none  |      |acc   |↑  |0.8140|±  |0.0125|
| - humanities     |      2|none  |      |acc   |↑  |0.8359|±  |0.0251|
| - other          |      2|none  |      |acc   |↑  |0.8103|±  |0.0269|
| - social sciences|      2|none  |      |acc   |↑  |0.8889|±  |0.0222|
| - stem           |      2|none  |      |acc   |↑  |0.7544|±  |0.0238|


vllm (pretrained=/root/autodl-tmp/QwQ-32B-abliterated,add_bos_token=true,max_model_len=4096,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|↑  |0.528|±  |0.0316|
|     |       |strict-match    |     5|exact_match|↑  |0.740|±  |0.0278|

vllm (pretrained=/root/autodl-tmp/QwQ-32B-abliterated,add_bos_token=true,max_model_len=4096,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|↑  |0.492|±  |0.0224|
|     |       |strict-match    |     5|exact_match|↑  |0.742|±  |0.0196|

vllm (pretrained=/root/autodl-tmp/QwQ-32B-abliterated,add_bos_token=true,max_model_len=4096,dtype=bfloat16,max_num_seqs=3), gen_kwargs: (None), limit: 15.0, num_fewshot: None, batch_size: 1
|      Groups      |Version|Filter|n-shot|Metric|   |Value |   |Stderr|
|------------------|------:|------|------|------|---|-----:|---|-----:|
|mmlu              |      2|none  |      |acc   |↑  |0.8152|±  |0.0126|
| - humanities     |      2|none  |      |acc   |↑  |0.8359|±  |0.0253|
| - other          |      2|none  |      |acc   |↑  |0.8000|±  |0.0276|
| - social sciences|      2|none  |      |acc   |↑  |0.8722|±  |0.0240|
| - stem           |      2|none  |      |acc   |↑  |0.7754|±  |0.0232|


vllm (pretrained=/root/autodl-tmp/QwQ-32B-abliterated-awq,add_bos_token=true,max_model_len=4096,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|↑  |0.476|±  |0.0316|
|     |       |strict-match    |     5|exact_match|↑  |0.752|±  |0.0274|

vllm (pretrained=/root/autodl-tmp/QwQ-32B-abliterated-awq,add_bos_token=true,max_model_len=4096,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|↑  |0.524|±  |0.0224|
|     |       |strict-match    |     5|exact_match|↑  |0.716|±  |0.0202|

|      Groups      |Version|Filter|n-shot|Metric|   |Value |   |Stderr|
|------------------|------:|------|------|------|---|-----:|---|-----:|
|mmlu              |      2|none  |      |acc   |↑  |0.8023|±  |0.0130|
| - humanities     |      2|none  |      |acc   |↑  |0.8000|±  |0.0266|
| - other          |      2|none  |      |acc   |↑  |0.7949|±  |0.0284|
| - social sciences|      2|none  |      |acc   |↑  |0.8500|±  |0.0258|
| - stem           |      2|none  |      |acc   |↑  |0.7789|±  |0.0235|