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[LoRA][1/N]Remove LoRA extra vocab (#28382)

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Signed-off-by: Jee Jee Li <pandaleefree@gmail.com>
This commit is contained in:
Jee Jee Li
2025-11-12 03:06:21 +08:00
committed by GitHub
parent 8c32c6e4b4
commit 9d1c474704
65 changed files with 197 additions and 754 deletions
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14
vllm/model_executor/models/phi4mm.py
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@@ -21,7 +21,6 @@ from vllm.distributed import get_pp_group
from vllm.model_executor.layers.logits_processor import LogitsProcessor
from vllm.model_executor.layers.quantization import QuantizationConfig
from vllm.model_executor.layers.vocab_parallel_embedding import (
DEFAULT_VOCAB_PADDING_SIZE,
ParallelLMHead,
)
from vllm.model_executor.models.llama import LlamaModel
@@ -1023,12 +1022,10 @@ class Phi4MMForCausalLM(nn.Module, SupportsLoRA, SupportsMultiModal):
multimodal_config = vllm_config.model_config.multimodal_config
assert multimodal_config, "multimodal_config is required"
quant_config = vllm_config.quant_config
lora_config = vllm_config.lora_config
self.config = config
self.multimodal_config = multimodal_config
self.quant_config = quant_config
self.lora_config = lora_config
# Tensor/Pipeline parallel not supported for now.
assert get_pp_group().world_size == 1, "pipeline parallel is not supported"
@@ -1055,23 +1052,16 @@ class Phi4MMForCausalLM(nn.Module, SupportsLoRA, SupportsMultiModal):
vllm_config=vllm_config, prefix=maybe_prefix(prefix, "model")
)
self.unpadded_vocab_size = config.vocab_size
if lora_config:
self.unpadded_vocab_size += lora_config.lora_extra_vocab_size
self.lm_head = ParallelLMHead(
self.unpadded_vocab_size,
config.vocab_size,
config.hidden_size,
org_num_embeddings=config.vocab_size,
padding_size=DEFAULT_VOCAB_PADDING_SIZE,
quant_config=quant_config,
prefix=maybe_prefix(prefix, "lm_head"),
)
if config.tie_word_embeddings:
self.lm_head = self.lm_head.tie_weights(self.model.embed_tokens)
logit_scale = getattr(config, "logit_scale", 1.0)
self.logits_processor = LogitsProcessor(
self.unpadded_vocab_size, config.vocab_size, logit_scale
)
self.logits_processor = LogitsProcessor(config.vocab_size, scale=logit_scale)
def _parse_and_validate_audio_input(
self, **kwargs: object