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Below is the per-quantization compatibility for this model.
curl -H "Authorization: Bearer $ABL_KEY" \
"https://abliteration.org/api/v1/models/mlabonne%2FQwen3-30B-A3B-abliterated" 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 | 25948 | LM-Arena |
| LM Arena Elo | 1321.1938733711484 | LM-Arena |
| Arena-Elo-Lower | 1316.3871802173958 | LM-Arena |
| Arena-Elo-Upper | 1326.0005665249007 | LM-Arena |
| Arena-Rank | 61 | LM-Arena |
| Entertainment | 1.2 | UGI |
| Hazardous | 2.9 | UGI |
| Natural Intelligence | 15.9 | UGI |
| Political lean | -26.8% | UGI |
| Sensitive-Info | 17.11 | UGI |
| SocPol | 1.4 | UGI |
| UGI | 33.07 | UGI |
| Willingness (10) | 6.5 | UGI |
| W10-Adherence | 10 | UGI |
| W10-Direct | 3 | UGI |
| Writing | 30.24 | UGI |
This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.
| model-00004-of-00013.safetensors | 4.65 GB | dd954b96 | download |
| model-00005-of-00013.safetensors | 4.65 GB | 0ffd84ca | download |
| model-00006-of-00013.safetensors | 4.65 GB | 0cd13f9e | download |
| model-00007-of-00013.safetensors | 4.65 GB | 94a94c80 | download |
| model-00008-of-00013.safetensors | 4.65 GB | aa210ed7 | download |
| model-00009-of-00013.safetensors | 4.65 GB | 7d7b44a4 | download |
| model-00010-of-00013.safetensors | 4.65 GB | c74b2bc4 | download |
| model-00011-of-00013.safetensors | 4.65 GB | 0983647e | download |
| model-00012-of-00013.safetensors | 4.65 GB | ffce2211 | download |
| model-00003-of-00013.safetensors | 4.65 GB | db4717a9 | download |
| model-00002-of-00013.safetensors | 4.65 GB | cec1d412 | download |
| model-00008-of-00025.safetensors | 4.65 GB | f5358f1c | download |
| model-00011-of-00025.safetensors | 4.65 GB | 353d6077 | download |
| model-00014-of-00025.safetensors | 4.65 GB | b6a69e38 | download |
| model-00017-of-00025.safetensors | 4.65 GB | e8940d55 | download |
| model-00020-of-00025.safetensors | 4.65 GB | c40255fe | download |
| model-00007-of-00025.safetensors | 4.65 GB | b31e10ee | download |
| model-00009-of-00025.safetensors | 4.65 GB | 030e052c | download |
| model-00010-of-00025.safetensors | 4.65 GB | d12b248d | download |
| model-00012-of-00025.safetensors | 4.65 GB | f142256c | download |
| model-00013-of-00025.safetensors | 4.65 GB | c7257eaf | download |
| model-00015-of-00025.safetensors | 4.65 GB | b6fe71d1 | download |
| model-00016-of-00025.safetensors | 4.65 GB | 6d955fff | download |
| model-00018-of-00025.safetensors | 4.65 GB | 478328f6 | download |
| model-00019-of-00025.safetensors | 4.65 GB | 24b45124 | download |
| model-00021-of-00025.safetensors | 4.65 GB | 8a7cd4b1 | download |
| model-00022-of-00025.safetensors | 4.65 GB | 511210e2 | download |
| model-00023-of-00025.safetensors | 4.65 GB | 47f30ac7 | download |
| model-00024-of-00025.safetensors | 4.65 GB | ba8c8ed3 | download |
| model-00006-of-00025.safetensors | 4.65 GB | 5b14fc33 | download |
| model-00002-of-00025.safetensors | 4.65 GB | d61cd644 | download |
| model-00003-of-00025.safetensors | 4.65 GB | 6c0b0bac | download |
| model-00004-of-00025.safetensors | 4.65 GB | ead0850e | download |
| model-00005-of-00025.safetensors | 4.65 GB | 538ed20e | download |
| model-00001-of-00013.safetensors | 4.65 GB | 1dab3934 | download |
| model-00001-of-00025.safetensors | 4.65 GB | 3e9f8356 | download |
| model-00025-of-00025.safetensors | 2.04 GB | 650b408c | download |
| model-00013-of-00013.safetensors | 1.02 GB | 4c8b6778 | download |
| tokenizer.json | 10.9 MB | aeb13307 | download |
| vocab.json | 2.65 MB | 4783fe10 | download |
| model.safetensors.index.json | 1.62 MB | 9697459c | download |
| merges.txt | 1.59 MB | 31349551 | download |
| tokenizer_config.json | 9.48 KB | 7345216a | download |
| .gitattributes | 1.53 KB | 52373fe2 | download |
| README.md | 1.17 KB | c55b5fd7 | download |
| config.json | 963 B | c3a453f5 | download |
| added_tokens.json | 707 B | b54f9135 | download |
| special_tokens_map.json | 613 B | ac23c0aa | download |
| generation_config.json | 214 B | e4f1d319 | download |
library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3-30B-A3B/blob/main/LICENSE
pipeline_tag: text-generation
base_model:
This model is still W.I.P. and I do not recommend using it at the moment.
This is an uncensored version of Qwen/Qwen3-30B-A3B created with a new abliteration technique.
See this article to know more about abliteration.
The author's README evolved over time. Click a version to see its content at that point.
Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.