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curl -H "Authorization: Bearer $ABL_KEY" \
"https://abliteration.org/api/v1/models/nova-quill%2FHuihui-Qwen3.8-27B-abliterated-mlx" primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.
| model-00001-of-00005.safetensors | 4.71 GB | 50b60d14 | download |
| model-00003-of-00005.safetensors | 4.70 GB | b4ff6f11 | download |
| model-00004-of-00005.safetensors | 4.69 GB | 5559591b | download |
| model-00002-of-00005.safetensors | 4.67 GB | 44f4127b | download |
| model-00005-of-00005.safetensors | 3.31 GB | b7ada8e2 | download |
| tokenizer.json | 12.2 MB | 0997f410 | download |
| vocab.json | 6.41 MB | 0aa0ce06 | download |
| merges.txt | 3.20 MB | a494e019 | download |
| model.safetensors.index.json | 207 KB | f53d8564 | download |
| chat_template.jinja | 26.1 KB | 9c7d3f4d | download |
| tokenizer_config.json | 17.5 KB | 5de744b3 | download |
| config.json | 12.6 KB | 2220a928 | download |
| .gitignore | 1.60 KB | 394b8729 | download |
| .gitattributes | 1.53 KB | 52373fe2 | download |
| README.md | 606 B | 4a617cf0 | download |
| preprocessor_config.json | 390 B | 2ea84a43 | download |
| generation_config.json | 202 B | 023756cf | download |
library_name: transformers
license: apache-2.0
pipeline_tag: image-text-to-text
base_model:
This is an uncensored version of Qwen/Qwen3.8-27B created with abliteration (see remove-refusals-with-transformers to know more about it).
This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.
The author's README evolved over time. Click a version to see its content at that point.
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