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feat: integrate RL training with vLLM_ascend inference backend #1641

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feat: integrate RL training with vLLM_ascend inference backend #1641

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7 changes: 7 additions & 0 deletions xtuner/v1/ray/config/worker.py
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Expand Up @@ -143,6 +143,13 @@ class RolloutConfig(BaseModel):
help="Number of GPUs allocated for each inference engine in the rollout worker.",
),
] = 1
data_parallel_size: Annotated[
int,
Parameter(
group=infer_group,
help="Number of GPUs allocated for processing data batches in parallel (Data Parallelism).",
),
] = 1
expert_parallel_size: Annotated[
int,
Parameter(
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