Qwen4Exp Architecture Offloads 25% Weights to N-grams
August 26, 2026
The Qwen4Exp architecture uses n-gram tables to offload up to 25% of model weights to SSD instead of RAM. This method separates reasoning (MoE) from recalling (n-grams) to optimize memory usage in large models.
HOW THIS AFFECTS YOU
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builderYou can run larger models on hardware with limited RAM by utilizing SSD-based n-gram offloading.
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researcherYou can explore hybrid MoE and n-gram architectures for efficient parameter scaling.