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AI 모델 탐색 27

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Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-BF16

AEON-7

**Early Access Draft.** The uncensored BF16 of Qwen/Qwen3.8-27B. Abliterated for coherence and better answers, not for a vanity KL of zero. Vision tower and native MTP head are the unmodified base. This is still the full-precision master a later NVFP4 sibling will bake from. It is not the finished cut. Do not dequant-edit-requant an NVFP4 lattice. > **New: AEON DFlash2 drafter for AEON ULTIMATE Qwen3.8-27B.** A speculative-decoding drafter custom-trained for this model family (it pairs with the NVFP4-MIXED build). Measured on one DGX Spark with the previous training stage (lk3): +21% faster than stock DFlash2 at T=0.6, +35% at T=1.0, and 3.2× faster than no drafter. Lossless: the 27B still verifies every token. **Initial gated access for Patreon supporters:** early-access post · membership.

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Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-NVFP4-MIXED

AEON-7

**Announcement.** This Hub card is the release notice for the MIXED deploy cut. Deeper release notes and expanded serve recipes land on Patreon as more battle testing and raw data comes in - not all at once on day one. I've spent a lot of months learning what abliteration actually costs. Turns out the trap most people fall into is chasing a vanity KL of zero and calling every judge-R a leftover refusal. That is how you lobotomize a 27B. I wanted the opposite: **willfully compliant**, coherent, useful - and still a real model when the answer gets long. So this is the ~**23G** ModelOpt **mixed** deploy cut of AEON-7/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-BF16. Not a blunt NVFP4 dump. Not a dequant-edit-requant circus. A lattice designed so the last layers can still *write code that passes unit tests*, while the bulk of the MLP rides NVFP4 where Blackwell is actually hungry for it.

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