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"https://abliteration.org/api/v1/models/thirdeyeai%2FQwQ-32B-uncensored" No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.
What is a refusal direction? →| Benchmark | Score | Source |
|---|---|---|
| Arena-Battles | 24359 | LM-Arena |
| LM Arena Elo | 1333.1043906834145 | LM-Arena |
| Arena-Elo-Lower | 1328.5976095286157 | LM-Arena |
| Arena-Elo-Upper | 1337.6111718382135 | LM-Arena |
| Arena-Rank | 50 | LM-Arena |
| BBH average | 0.3017252561940589 | OpenLLM-v2 |
| IFEval instruct | 0.47002398081534774 | OpenLLM-v2 |
| IFEval-Prompt | 0.32532347504621073 | OpenLLM-v2 |
| MATH lvl 5 | 0.1608761329305136 | OpenLLM-v2 |
| MMLU-Pro | 0.11959773936170212 | OpenLLM-v2 |
| Entertainment | 1.4 | UGI |
| Hazardous | 4.1 | UGI |
| Natural Intelligence | 24.06 | UGI |
| Political lean | -18.6% | UGI |
| Sensitive-Info | 27.21 | UGI |
| SocPol | 3.2 | UGI |
| UGI | 27.3 | UGI |
| Willingness (10) | 2.8 | UGI |
| W10-Adherence | 2.5 | UGI |
| W10-Direct | 3 | UGI |
| Writing | 34.87 | UGI |
This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.
| model-00001-of-00014.safetensors | 4.56 GB | 388af2ee | download |
| model-00004-of-00014.safetensors | 4.54 GB | 0196e886 | download |
| model-00005-of-00014.safetensors | 4.54 GB | b6c5bc4e | download |
| model-00006-of-00014.safetensors | 4.54 GB | 97772937 | download |
| model-00007-of-00014.safetensors | 4.54 GB | 93a4e92b | download |
| model-00008-of-00014.safetensors | 4.54 GB | 60bc7cca | download |
| model-00009-of-00014.safetensors | 4.54 GB | 9cd6c1b7 | download |
| model-00010-of-00014.safetensors | 4.54 GB | 94d7070e | download |
| model-00011-of-00014.safetensors | 4.54 GB | f2459412 | download |
| model-00012-of-00014.safetensors | 4.54 GB | 78df5c4b | download |
| model-00013-of-00014.safetensors | 4.54 GB | 276b9688 | download |
| model-00003-of-00014.safetensors | 4.54 GB | 4b4461e9 | download |
| model-00002-of-00014.safetensors | 4.54 GB | 9b484a4b | download |
| model-00014-of-00014.safetensors | 1.98 GB | 7f968f25 | download |
| tokenizer.json | 10.9 MB | de053c72 | download |
| vocab.json | 2.65 MB | 4783fe10 | download |
| merges.txt | 1.59 MB | 31349551 | download |
| model.safetensors.index.json | 61.8 KB | 5001e730 | download |
| tokenizer_config.json | 8.12 KB | 16b535ea | download |
| .gitattributes | 1.53 KB | 52373fe2 | download |
| config.json | 733 B | 831fca83 | download |
| added_tokens.json | 707 B | b54f9135 | download |
| special_tokens_map.json | 496 B | aa59b333 | download |
| README.md | 428 B | 851aca08 | download |
| generation_config.json | 214 B | 864f23cb | download |
library_name: transformers
base_model:
This model has been uncensored to remove political bias, not unsafe content. For example, the current qwq 32b model available from ali cloud gives refusals for questions about the tiananmen square massacre; this uncensored models provides unbiased answers to questions about potentially political events.
check out the qwen2.5-coder-uncensored model at litcode.org
The author's README evolved over time. Click a version to see its content at that point.
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