User reports Strata silently truncates model thinking by default
11/03/2026 — 11/05, 17:22·2 sources (all)·2 reports (all)
Key takeaways
- A Reddit LocalLLaMA user reports that Strata and PolyStrata, under default settings with thinking enabled and max_tokens at or above 1024, t…
Latest turnThe open-source local LLM tool Strata has released version 0.2.10, which enables DFlash2 by default to cut VRAM use; the developers say 8GB consumer GPUs can now run 128K context. The tool targets users with limited VRAM who want to run larger local models, according to Xiaozhong Software.
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The open-source local LLM tool Strata has released version 0.2.10, which enables DFlash2 by default to cut VRAM use; the developers say 8GB consumer GPUs can now run 128K context. The tool targets users with limited VRAM who want to run larger local models, according to Xiaozhong Software.
小众软件AI score 58A Reddit user on r/LocalLLaMA reports that Strata and PolyStrata trigger a behavior called answer_room under default settings with thinking on and max_tokens ≥ 1024, unless reasoning_budget_tokens is set explicitly. It silently caps thinking at 0.75 × max_tokens and injects a wrap-up line in the model's own voice before continuing the same reply, with no error, flag or finish reason reaching the client and often no log.
Reddit · LocalLLaMAAI score 54
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