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7 changes: 6 additions & 1 deletion tests/models/multimodal/test_mapping.py
Original file line number Diff line number Diff line change
Expand Up @@ -30,7 +30,12 @@ def create_dummy_model(repo: str, model_arch: str) -> PreTrainedModel:
model_cls: PreTrainedModel = getattr(transformers, model_arch)
config = AutoConfig.from_pretrained(repo)
with torch.device("meta"):
return model_cls._from_config(config)
model = model_cls._from_config(config)
# TODO(hmellor): Remove this once Transformers has fixed tied weights on meta device
# https://github.com/huggingface/transformers/issues/43522
if getattr(config.get_text_config(), "tie_word_embeddings", False):
model.tie_weights()
return model


def model_architectures_for_test() -> list[str]:
Expand Down
3 changes: 2 additions & 1 deletion vllm/model_executor/models/transformers/base.py
Original file line number Diff line number Diff line change
Expand Up @@ -249,7 +249,8 @@ def pipeline_parallel(self):
# Layers before module list
for name in pp_plan[:module_list_idx]:
if self.pp_group.is_first_rank or (
self.text_config.tie_word_embeddings and self.pp_group.is_last_rank
getattr(self.text_config, "tie_word_embeddings", False)
and self.pp_group.is_last_rank
):
continue
setattr(self.model, name, PPMissingLayer())
Expand Down
5 changes: 3 additions & 2 deletions vllm/model_executor/models/transformers/causal.py
Original file line number Diff line number Diff line change
Expand Up @@ -38,7 +38,8 @@ def __init__(self, *, vllm_config: "VllmConfig", prefix: str = ""):

# Tell `Base.load_weights` to skip
# `lm_head` if the model has tied word embeddings
if self.text_config.tie_word_embeddings:
tie_word_embeddings = getattr(self.text_config, "tie_word_embeddings", False)
if tie_word_embeddings:
self.skip_prefixes.append("lm_head.")

if self.pp_group.is_last_rank:
Expand All @@ -48,7 +49,7 @@ def __init__(self, *, vllm_config: "VllmConfig", prefix: str = ""):
quant_config=self.quant_config,
prefix=maybe_prefix(prefix, "lm_head"),
)
if self.text_config.tie_word_embeddings:
if tie_word_embeddings:
self.lm_head = self.lm_head.tie_weights(
self.model.get_input_embeddings()
)
Expand Down