Bahushruth/abliteration-harmful-enriched
abliteration-harmful-enriched Enriched harmful prompt dataset for abliteration (refusal direction identification). 7356 prompts across 33 categories, designed to provide broad coverage of the refusal subspace for more accurate direction estimation. Used to produce: Bahushruth/Qwen3.6-35B-A3B-abliterated-v4 Blog post: Abliteration: Uncensoring LLMs via Weight Surgery Why This Dataset Exists Standard abliteration datasets (e.g., mlabonne/harmful_behaviors with 520… See the full description on the dataset page: https://huggingface.co/datasets/Bahushruth/abliteration-harmful-enriched.
| Author / organization | Bahushruth |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 262 (as reported by Hugging Face) |
| Likes | 7 |
| Created | 11 June 2026 |
| Last updated at source | 14 June 2026 |
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262 now (-9 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- Bahushruth/Qwen3.6-35B-A3B-abliterated-v4-GGUFModel · used to train
- prem-research/DeepSeek-V4-Flash-0731-abliteratedModel · used to train
- Bahushruth/Qwen3.6-35B-A3B-abliterated-v4Model · used to train
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