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[Core] Move save_tensorized_model logic to Worker #35825

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Merged
WoosukKwon merged 1 commit into from
Mar 3, 2026
Merged

[Core] Move save_tensorized_model logic to Worker #35825

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13 changes: 1 addition & 12 deletions vllm/v1/worker/gpu_model_runner.py
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Original file line number Diff line number Diff line change
Expand Up @@ -58,7 +58,7 @@
MRotaryEmbedding,
XDRotaryEmbedding,
)
from vllm.model_executor.model_loader import TensorizerLoader, get_model_loader
from vllm.model_executor.model_loader import get_model_loader
from vllm.model_executor.model_loader.reload import (
finalize_layerwise_reload,
initialize_layerwise_reload,
Expand Down Expand Up @@ -194,7 +194,6 @@
)

if TYPE_CHECKING:
from vllm.model_executor.model_loader.tensorizer import TensorizerConfig
from vllm.v1.core.sched.output import GrammarOutput, SchedulerOutput
from vllm.v1.spec_decode.ngram_proposer import NgramProposer

Expand Down Expand Up @@ -4504,16 +4503,6 @@ def reload_weights(
weights_not_loaded,
)

def save_tensorized_model(
self,
tensorizer_config: "TensorizerConfig",
) -> None:
TensorizerLoader.save_model(
self.get_model(),
tensorizer_config=tensorizer_config,
model_config=self.model_config,
)

def _get_prompt_logprobs_dict(
self,
hidden_states: torch.Tensor,
Expand Down
10 changes: 5 additions & 5 deletions vllm/v1/worker/gpu_worker.py
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Original file line number Diff line number Diff line change
Expand Up @@ -57,6 +57,7 @@
from vllm.v1.worker.worker_base import WorkerBase
from vllm.v1.worker.workspace import init_workspace_manager

from ...model_executor.model_loader import TensorizerLoader
from .gpu.warmup import warmup_kernels
from .utils import request_memory

Expand Down Expand Up @@ -836,12 +837,11 @@ def save_sharded_state(
max_size=max_size,
)

def save_tensorized_model(
self,
tensorizer_config: "TensorizerConfig",
) -> None:
self.model_runner.save_tensorized_model(
def save_tensorized_model(self, tensorizer_config: "TensorizerConfig") -> None:
TensorizerLoader.save_model(
self.get_model(),
tensorizer_config=tensorizer_config,
model_config=self.model_config,
)

def init_weight_transfer_engine(self, init_info: dict) -> None:
Expand Down