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Skip device and quant Pydantic validation to make plugin device work (#18843)

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Signed-off-by: Yikun Jiang <yikunkero@gmail.com>
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Yikun Jiang 2025-05-29 11:12:30 +08:00 committed by GitHub
parent 1661a9c28f
commit 3c49dbdd03
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1 changed files with 2 additions and 2 deletions
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vllm/config.py
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@ -304,7 +304,7 @@ class ModelConfig:
- 25.6k -> 25,600""" - 25.6k -> 25,600"""
spec_target_max_model_len: Optional[int] = None spec_target_max_model_len: Optional[int] = None
"""Specify the maximum length for spec decoding draft models.""" """Specify the maximum length for spec decoding draft models."""
quantization: Optional[QuantizationMethods] = None quantization: SkipValidation[Optional[QuantizationMethods]] = None
"""Method used to quantize the weights. If `None`, we first check the """Method used to quantize the weights. If `None`, we first check the
`quantization_config` attribute in the model config file. If that is `quantization_config` attribute in the model config file. If that is
`None`, we assume the model weights are not quantized and use `dtype` to `None`, we assume the model weights are not quantized and use `dtype` to
@ -2231,7 +2231,7 @@ Device = Literal["auto", "cuda", "neuron", "cpu", "tpu", "xpu", "hpu"]
class DeviceConfig: class DeviceConfig:
"""Configuration for the device to use for vLLM execution.""" """Configuration for the device to use for vLLM execution."""
device: Union[Device, torch.device] = "auto" device: SkipValidation[Union[Device, torch.device]] = "auto"
"""Device type for vLLM execution. """Device type for vLLM execution.
This parameter is deprecated and will be This parameter is deprecated and will be
removed in a future release. removed in a future release.