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[Model] Bump transformers version for test registry (#33100)

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Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>
This commit is contained in:
Cyrus Leung
2026-01-27 02:53:22 +08:00
committed by GitHub
parent 19ab0f7ce5
commit c25dbee40d
6 changed files with 20 additions and 20 deletions
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4
vllm/model_executor/models/transformers/base.py
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@@ -350,7 +350,7 @@ class Base(
# vLLM does not support encoder-decoder models, so if any encoder layer is
# found in a text only model, we assume the whole model is an encoder model
if has_encoder(self.model) and not is_multimodal(self.config):
self.check_version("5.0.0.dev0", "encoder models support")
self.check_version("5.0.0", "encoder models support")
attn_type = AttentionType.ENCODER_ONLY
else:
attn_type = AttentionType.DECODER
@@ -502,7 +502,7 @@ class Base(
)
def set_aux_hidden_state_layers(self, layers: tuple[int, ...]) -> None:
self.check_version("5.0.0.dev0", "Eagle3 support")
self.check_version("5.0.0", "Eagle3 support")
from transformers.utils.generic import OutputRecorder
# The default value in PreTrainedModel is None

2
vllm/model_executor/models/transformers/moe.py
View File

@@ -118,7 +118,7 @@ direct_register_custom_op(
class MoEMixin(MixtureOfExperts):
def __init__(self, *, vllm_config: "VllmConfig", prefix: str = ""):
self.check_version("5.0.0.dev0", "MoE models support")
self.check_version("5.0.0", "MoE models support")
# Skip MixtureOfExperts.__init__ and call the next class in MRO
super(MixtureOfExperts, self).__init__(vllm_config=vllm_config, prefix=prefix)