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arXiv 2610.07767 · cs.LG · 2026-10-06

TRACE: Rollout-Guided Quantization-Aware Training for FP4 Reinforcement Learning of MoE Language Models

Xin Wang, Hao Yu, Zhengyang Zhuge, Bochao Mao, Zheng Li, Junda Feng, Yuyan Luo, Yi Zhang and 4 more

Qwen

In latest · #235 Added on 2026-10-21

One-line takeaway

Qwen's TRACE aligns the training and rollout FP4 quantisation paths for low-precision RL of MoE language models.

Qwen 团队的 TRACE 对齐训练与 rollout 两条 FP4 量化路径,用于 MoE 大模型的低精度强化学习。

91HF upvotes
–GitHub stars
0Citations (Semantic Scholar)
50.9Buzz score

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Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.

The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.

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