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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 15, 22:15 UTC

use device param in load_model method (#13037)

Zhe Zhang committed Feb 19, 2025 at 16:05 UTC fdc5df6f54854ba437429fa0ff721939259364ad
1 file changed +1 -1
vllm/worker/model_runner.py
+1 -1
@@ -1107,7 +1107,7 @@ class GPUModelRunnerBase(ModelRunnerBase[TModelInputForGPU]):
1107
1108 def load_model(self) -> None:
1109 logger.info("Starting to load model %s...", self.model_config.model)
1110 - with DeviceMemoryProfiler() as m:
1110 + with DeviceMemoryProfiler(self.device) as m:
1111 self.model = get_model(vllm_config=self.vllm_config)
1112
1113 self.model_memory_usage = m.consumed_memory