license: apache-2.0
abliterated using Householder
no refusals related to dangerous questions in testing benchmarks
I ran a zero-shot benchmark on HellaSwag using lm-eval-harness, and the model had an acc_norm score of 0.7601 vs the base model 0.7758
amarck/Qwen3-30B-A3B-abliterated
Your rig
guess connected
? Why do I need an app?
The browser can't see your hardware
For privacy reasons a browser tells us at most "≥ 8 GB RAM, 8 cores" - same reading whether you have 8 GB or 128 GB. It has no idea how much RAM is free right now, which apps are open, or whether you have a GPU.
The Abliteration app is integrated with your machine
It reads your exact RAM, GPU model and VRAM, free memory right now, and picks the sharpest quant that still fits. Every model page lights up precisely for your rig.
And you can chat with any model, right now
The app is a full local runtime - no API keys, no subscription, everything runs on your machine. Click any model on this site and start a conversation in seconds.
Get the free app → Reading your rig…
This is a rough estimate. Install the free app - we'll show exact numbers.
Reading real hardware from your app right now. Numbers below are exact.
Below is the per-quantization compatibility for this model.
curl -H "Authorization: Bearer $ABL_KEY" \
"https://abliteration.org/api/v1/models/amarck%2FQwen3-30B-A3B-abliterated" Response includes
- classification m8
- files 25
- hub_downloads_all_time 8,262
- author_summary 3 models
- readme_text full
Abliteration classifier · v1.0.0
M8
Primary method
Repackaging (quantization)
Applied on top of direct removal inherited from the base model.
Confidence
MEDIUM
Inherited from base model
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
- 'abliterated' in name/tags
- is_gguf=1
- assume M1 (base ablation) + M8 (GGUF quant) - default when producer unknown
Refusal direction extraction
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? → Downloads · lifetime
8K
172 last 30d
- cooling
Likes
5
Model age
17mo ago
created 2025-05-04
Downloads over time
Apr 30, 2025 → Oct 11 · 115 snapshots · spans 529 days
Metadata
Related
Files by quantization
Auxiliary files 25 files 74.2 GB
| gglm-qwen-30-a3-ab.gguf | 17.3 GB | e68dcc00 | download |
| model-00004-of-00013.safetensors | 4.65 GB | b5d9e5a5 | download |
| model-00005-of-00013.safetensors | 4.65 GB | bdbf9bbe | download |
| model-00006-of-00013.safetensors | 4.65 GB | 6a62be5a | download |
| model-00007-of-00013.safetensors | 4.65 GB | 36ffa49e | download |
| model-00008-of-00013.safetensors | 4.65 GB | 8a19afed | download |
| model-00009-of-00013.safetensors | 4.65 GB | 0adcdb58 | download |
| model-00010-of-00013.safetensors | 4.65 GB | eb4ed393 | download |
| model-00011-of-00013.safetensors | 4.65 GB | 4a656335 | download |
| model-00012-of-00013.safetensors | 4.65 GB | 600f04e8 | download |
| model-00003-of-00013.safetensors | 4.65 GB | 947a5e9a | download |
| model-00002-of-00013.safetensors | 4.65 GB | afaf7ef4 | download |
| model-00001-of-00013.safetensors | 4.65 GB | f9306aac | 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 | cb0497fa | download |
| merges.txt | 1.59 MB | 31349551 | download |
| tokenizer_config.json | 9.48 KB | 7345216a | download |
| .gitattributes | 1.59 KB | ba60f4dc | download |
| config.json | 964 B | b3b362a8 | download |
| added_tokens.json | 707 B | b54f9135 | download |
| special_tokens_map.json | 613 B | ac23c0aa | download |
| README.md | 260 B | e1b214e0 | download |
| generation_config.json | 214 B | e4f1d319 | download |
README
README history
The author's README evolved over time. Click a version to see its content at that point.
2025-05-20Update README.md
Loading...2025-05-06Update README.md
Loading...2025-05-04Update README.md
Loading...2025-05-04initial commit
Loading...
Discussions
2025-05-06Refusals for sexually explicit content
Loading...