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4 changes: 2 additions & 2 deletions docs/zh/examples/qwen3-4B.md
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Expand Up @@ -263,7 +263,7 @@ ray job submit ... \
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```

即开启训推一体（colocate），并且训练部分会使用 1 机 8 卡，推理会和训练共同使用这 8 张卡张卡。
即开启训推一体（colocate），并且训练部分会使用 1 机 8 卡，推理会和训练共同使用这 8 张卡。

如果想使用训推分离的功能，需要去掉 `--colocate` 并配置上 `--rollout-num-gpus`，例如：

Expand Down Expand Up @@ -298,4 +298,4 @@ ray job submit ... \

`train.py` 和 `train_async.py` 的差别只在于 train loop 的同步逻辑，我们通过 ray 的异步（`.remote`, `ray.get`）实现了这点。

⚠️ 在异步训练时，sglang 的性能检测日志与训练日志可能会混到一起，不易区分，可以通过 `--sglang-log-level` 来减少 sglang 的日志。
⚠️ 在异步训练时，sglang 的性能检测日志与训练日志可能会混到一起，不易区分，可以通过 `--sglang-log-level` 来减少 sglang 的日志。
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