---
base_model:
- huihui-ai/Qwen3-32B-abliterated
---
vllm (pretrained=/root/autodl-tmp/Qwen3-32B-abliterated,add_bos_token=true,max_model_len=3096,dtype=bfloat16,trust_remote_code=true,tensor_parallel_size=4,gpu_memory_utilization=0.8), 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|↑  |0.896|±  |0.0193|

vllm (pretrained=/root/autodl-tmp/Qwen3-32B-abliterated,add_bos_token=true,max_model_len=3096,dtype=bfloat16,trust_remote_code=true,tensor_parallel_size=4,gpu_memory_utilization=0.8), 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|↑  |0.852|±  |0.0159|
|     |       |strict-match    |     5|exact_match|↑  |0.840|±  |0.0164|

|      Groups      |Version|Filter|n-shot|Metric|   |Value |   |Stderr|
|------------------|------:|------|------|------|---|-----:|---|-----:|
|mmlu              |      2|none  |      |acc   |↑  |0.7988|±  |0.0131|
| - humanities     |      2|none  |      |acc   |↑  |0.7897|±  |0.0269|
| - other          |      2|none  |      |acc   |↑  |0.7590|±  |0.0298|
| - social sciences|      2|none  |      |acc   |↑  |0.8722|±  |0.0252|
| - stem           |      2|none  |      |acc   |↑  |0.7860|±  |0.0230|


vllm (pretrained=/root/autodl-tmp/Qwen3-32B-abliterated-awq,add_bos_token=true,max_model_len=3096,dtype=bfloat16,trust_remote_code=true,tensor_parallel_size=2), gen_kwargs: (None), limit: 250.0, num_fewshot: 5, batch_size: 1
|Tasks|Version|     Filter     |n-shot|  Metric   |   |Value|   |Stderr|
|-----|------:|----------------|-----:|-----------|---|----:|---|-----:|
|gsm8k|      3|flexible-extract|     5|exact_match|↑  |0.892|±  |0.0197|
|     |       |strict-match    |     5|exact_match|↑  |0.888|±  |0.0200|

vllm (pretrained=/root/autodl-tmp/Qwen3-32B-abliterated-awq,add_bos_token=true,max_model_len=3096,dtype=bfloat16,trust_remote_code=true), 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|↑  |0.864|±  |0.0153|
|     |       |strict-match    |     5|exact_match|↑  |0.862|±  |0.0154|

|      Groups      |Version|Filter|n-shot|Metric|   |Value |   |Stderr|
|------------------|------:|------|------|------|---|-----:|---|-----:|
|mmlu              |      2|none  |      |acc   |↑  |0.7871|±  |0.0131|
| - humanities     |      2|none  |      |acc   |↑  |0.8000|±  |0.0266|
| - other          |      2|none  |      |acc   |↑  |0.7692|±  |0.0280|
| - social sciences|      2|none  |      |acc   |↑  |0.8611|±  |0.0260|
| - stem           |      2|none  |      |acc   |↑  |0.7439|±  |0.0240|