Qwen3.6-27B Quantized Models Unstable in Agentic Loops on RTX PRO 6000
vanbukin · reddit · 2026-07-07
Testing Qwen3.6-27B on an RTX PRO 6000 Blackwell (450W) revealed severe reliability issues with NVFP4/FP8 quantized versions during agentic loop tasks, whereas the BF16 version functioned perfectly. The inference stack used was vLLM 0.24.0 + CUDA 13.0 with MTP speculative decoding and prefix caching enabled. The user is investigating whether this is a configuration error or an inherent limitation of quantization for agentic workflows, sharing environment variables and startup commands for community diagnosis.
Related event: Tests Reveal Instability of Qwen3.6-27B Quantized Models in Agentic Tasks(2 posts)→
More from coding & agent
- Design Is Becoming Game Dev: Build Your Own Tools With AI as the Executor — hewarsaber · 2026-10-27
- Dev turns DJI Mavic into local AI security drone built with Opus 5.5 — alexcovo_eth · 2026-10-27
- Microsoft Research: ForkPilot cuts long-horizon agent compute by up to 59% — EliasEskin · 2026-10-27
- Cursor launches Agent SDK: agents as code with Markdown prompts and TypeScript tools — soleio · 2026-10-27
- Vibecheck, the 'usable formal methods' hackathon, sells out two floors in SF — spikedoanz · 2026-10-27
- How do you verify AI agent outputs beyond unit tests and LLM-as-judge? — Practical_Green5775 · 2026-10-27