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A high-throughput and memory-efficient inference and serving engine for LLMs

Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git

Synced Nov 14, 05:30 UTC

[Doc] add backend to doc string of initialize_model_parallel (#22142)

Signed-off-by: Andy Xie <andy.xning@gmail.com>

Ning Xie committed Aug 5, 2025 at 10:36 UTC 29b97c09950fb6970756f5e2cfd4a3d7c1f4d72e
1 file changed +1
vllm/distributed/parallel_state.py
+1
@@ -1013,6 +1013,7 @@ def initialize_model_parallel(
1013 parallelism.
1014 pipeline_model_parallel_size: number of GPUs used for pipeline model
1015 parallelism.
1016 + backend: name of torch distributed communication backend.
1017
1018 Let's say we have a total of 8 GPUs denoted by g0 ... g7 and we
1019 use 2 GPUs to parallelize the model tensor, and 4 GPUs to parallelize