arxiv
PublishedSeptember 1, 2026 at 4:00 AM
On the Design of Qwen3.8-Next Architecture: Evaluation, Efficiency, and Training Stability
Publisher summary· verbatim
arXiv:2608.30320v1 Announce Type: new Abstract: We describe the architecture and ablations of Qwen3.8-Flash-Next, a sparse mixture-of-experts model with 125B parameters, 6B activated per token, and additional 51B parameters of n-gram embedding tables held off the accelerator. On fourteen pre-trainin
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Originally published on arxiv ↗