UNCENSORED AI MODEL NEWS
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0xKitkat/Ornith-1.5-35B-A3B-Uncensored
DeepReinforce's self-improving Ornith-1.5-35B-A3B, uncensored three ways in 48 hours: a streamed task-vector transplant that adds Qwen3.6's measured uncensoring delta to Ornith's weights (102 tensors changed, vision and MTP intact, 0/16 heuristic refusals on Q4_K_M), plus two classic orthogonalization edits.
Read the article → Model research ·orcarouter/Qwen3.8-27B-Uncensored-FP8
The most-liked Qwen3.8 uncensored on Hugging Face (553 likes): orcarouter's lossless aggressive edit, block-FP8 with the vision tower at full precision, served gated on OrcaRouter at $0.40/$4.21 per 1M tokens.
Read the article → Model research ·insraq/Qwen3.5-4B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated
A source-linked field note on insraq's Heretic v1.4.0 decensor of EmperoAI's Qwen3.8-4B distill: what the 4.5B class is for, and what it trades away.
Read the article → Model research ·SHS-Lab/Muse-Glimmer-30B-Abliterated-Aggressive
A relaxed-KL LoRA de-abliteration of Meta's 29.8B agentic model claiming 0/100 refusals at ~1.7x KL drift — a mirror upload with the benchmarks left unmeasured.
Read the article → Model research ·Resggg/Kimi-K3-Abliterated-modal
An abliterated re-upload of Moonshot's 2.78T-parameter Kimi K3 — any-to-any, MXFP4, 96 shards, ~1.56 TB — with zero downloads and no deployment: the scale math behind why nobody can run it.
Read the article → Model research ·Goodoldjam/DiffusionGemma-26B-E38-Abliterated-NVFP4
Abliterating a model that doesn't generate autoregressively, then quantizing it to NVFP4: 0/402 target refusals and 1,053.64 tok/s aggregate on one RTX PRO 6000, 51.68 GB cut to 18.86 GB.
Read the article → Model research ·huihui-ai/Huihui-Qwen3.8-27B-abliterated
Within 48 hours of Qwen3.8-27B's community release, huihui-ai published a 27.8B-parameter abliterated edit that leaves the first 15 layers, MTP and the vision tower untouched, and its GGUF companion landed the same afternoon.
Read the article → Model research ·0bserverx/Qwen3.8-27B-Heretic-Abliterated-Uncensored-GGUF
Abliteration as a matrix optimization problem, run three times: KL 0.0535 → 0.0085, refusals 3/100 → 0–1/100, 106K downloads in four days, one corrupted quant and a loud community pushback.
Read the article → Model research ·pocharlies/deepseek-v4-flash-0731-uncensored-abliterated-refusal-directions
A 757 KB refusal-directions file turns DeepSeek V4 Flash 0731 abliteration into a runtime λ dial, with measured proof that the baked λ=2.5 checkpoint overshoots and inverts the direction.
Read the article →Model research, dated at publication. Model licenses, publisher benchmarks and hosting estimates are specific to each article, not a live availability or price list. Reported zero-refusal results are test-specific, not a universal guarantee.