LocalLLaMA
Running Qwen3.6-35B-A3B on a laptop RTX 4060 (8GB) — what worked, what didn't, and a surprising speculative-decoding result
TL;DR: I spent a long session tuning a 35B MoE on a tiny 8GB laptop GPU. Three things mattered a lot (--no-mmap, VRAM headroom, closing CPU-hungry apps). Several "obvious" optimizations did nothing because of this model's hybrid architecture (TurboQuant, Flash Attention, even i-quants made it worse). And speculative decoding gave me +26%, which contradicts the community benchmarks that found it net-negative. Looking for discussion + ideas. The setup - GPU: RTX 4060 Laptop, 8GB VR...
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