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[Model] Support Qwen-VL and Qwen-VL-Chat models with text-only inputs (#5710)

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Co-authored-by: Roger Wang <ywang@roblox.com>
This commit is contained in:
Jie Fu (傅杰)
2024-06-22 10:07:08 +08:00
committed by GitHub
parent cf90ae0123
commit 9c62db07ed
1 changed files with 10 additions and 0 deletions
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10
vllm/model_executor/models/qwen.py
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@ -28,6 +28,7 @@ from vllm.model_executor.layers.vocab_parallel_embedding import (
from vllm.model_executor.model_loader.weight_utils import default_weight_loader
from vllm.model_executor.sampling_metadata import SamplingMetadata
from vllm.sequence import SamplerOutput
from vllm.utils import print_warning_once
class QWenMLP(nn.Module):
@ -288,6 +289,15 @@ class QWenLMHeadModel(nn.Module):
# Skip loading extra bias for GPTQ models.
if name.endswith(".bias") and name not in params_dict:
continue
# Skip loading visual weights to support Qwen-VL models
# in cases with text-only inputs
# TODO: add support for Qwen-VL
if (name not in params_dict
and name.startswith("transformer.visual.")):
print_warning_once(
"Only text inputs are allowed. Images won't be handled "
"until Qwen-VL models are fully supported.")
continue
param = params_dict[name]
weight_loader = getattr(param, "weight_loader",
default_weight_loader)