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noneUsername/QwQ-32B-abliterated-AWQ-INT4-float16
QwQ-32B-abliterated-AWQ-INT4-float16 is a machine learning model from noneUsername. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
vllm (pretrained=/root/autodl-tmp/QwQ-32B-abliterated-awq,addbostoken=true,maxmodellen=4096,dtype=bfloat16), genkwargs: (None), limit: 250.0, numfewshot: 5, batchsize: auto
Downloads · 30 days
14
24% of all-time downloads
All-time downloads
58
Public
Parameters
32.8B
19.3 GB on disk
Likes
3
Public
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.safetensors19.3 GB · 100%
How the weights are stored.
I3231.2B · 95%
From the Hugging Face model README
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 | ↑ | 0.488 | ± | 0.0317 |
| strict-match | 5 | exact_match | ↑ | 0.740 | ± | 0.0278 |
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 | ↑ | 0.47 | ± | 0.0223 |
| strict-match | 5 | exact_match | ↑ | 0.72 | ± | 0.0201 |
| Groups | Version | Filter | n-shot | Metric | Value | Stderr | ||
|---|---|---|---|---|---|---|---|---|
| mmlu | 2 | none | acc | ↑ | 0.8070 | ± | 0.0128 | |
| - humanities | 2 | none | acc | ↑ | 0.8051 | ± | 0.0253 | |
| - other | 2 | none | acc | ↑ | 0.7744 | ± | 0.0295 | |
| - social sciences | 2 | none | acc | ↑ | 0.8722 | ± | 0.0244 | |
| - stem | 2 | none | acc | ↑ | 0.7895 | ± | 0.0229 |