vram-efficiency

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#vram-efficiency

@sudoingX: anyone running a 16gb card, stop scrolling. @pupposandro and @davideciffa got qwen 35b-a3b down to 13.3gb, measured on …

X AI KOLs Timeline · 2026-06-10 Cached

A technique called luce spark allows Qwen 35B-a3B MoE model to run on a 16GB GPU (like RTX 3090) by learning which experts are frequently used and streaming the rest from RAM, achieving ~100 tok/s without VRAM bottleneck.

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#vram-efficiency

@witcheer: can’t believe gpt-oss-20b perfs on 8GB vRAM 21B total params, 3.6B active (MoE). OpenAI, Apache 2.0. uses only 1.8 GB V…

X AI KOLs Timeline · 2026-05-24 Cached

A new open-source MoE model, gpt-oss-20b (21B total, 3.6B active), runs on only 1.8GB VRAM and achieves perfect scores on agentic coding tasks, outperforming other local models like Gemma and Qwen.

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