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[Misc] Delete LoRA-related redundancy code (#17841)

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Signed-off-by: Jee Jee Li <pandaleefree@gmail.com>
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Jee Jee Li 2025-05-08 21:02:21 +08:00 committed by GitHub
parent 015815fe01
commit a944f8ede7
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4 changed files with 3 additions and 17 deletions
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2
vllm/lora/models.py
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@ -344,7 +344,7 @@ class LoRAModelManager(AdapterModelManager):
self.supported_lora_modules = get_supported_lora_modules(self.model) self.supported_lora_modules = get_supported_lora_modules(self.model)
assert self.supported_lora_modules, "No supported LoRA modules found in" assert self.supported_lora_modules, "No supported LoRA modules found in"
f"{self.model.__class__.__name__}." f" {self.model.__class__.__name__}."
if lora_config.long_lora_scaling_factors: if lora_config.long_lora_scaling_factors:
# We need to replace rotary emb layer to do batch computation # We need to replace rotary emb layer to do batch computation
# for long lora. # for long lora.

4
vllm/model_executor/models/grok1.py
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@ -504,9 +504,7 @@ class Grok1ForCausalLM(nn.Module, SupportsLoRA, SupportsPP):
self.unpadded_vocab_size, self.unpadded_vocab_size,
config.hidden_size, config.hidden_size,
org_num_embeddings=config.vocab_size, org_num_embeddings=config.vocab_size,
padding_size=DEFAULT_VOCAB_PADDING_SIZE padding_size=DEFAULT_VOCAB_PADDING_SIZE,
# We need bigger padding if using lora for kernel compatibility
if not lora_config else lora_config.lora_vocab_padding_size,
quant_config=quant_config, quant_config=quant_config,
prefix=maybe_prefix(prefix, "lm_head"), prefix=maybe_prefix(prefix, "lm_head"),
) )

8
vllm/model_executor/models/nemotron_nas.py
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@ -334,14 +334,6 @@ class DeciLMForCausalLM(nn.Module, SupportsLoRA, SupportsPP, HasNoOps):
} }
# LoRA specific attributes # LoRA specific attributes
supported_lora_modules = [
"qkv_proj",
"o_proj",
"gate_up_proj",
"down_proj",
"embed_tokens",
"lm_head",
]
embedding_modules = { embedding_modules = {
"embed_tokens": "input_embeddings", "embed_tokens": "input_embeddings",
"lm_head": "output_embeddings", "lm_head": "output_embeddings",

6
vllm/model_executor/models/phi4mm.py
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@ -955,11 +955,7 @@ class Phi4MMForCausalLM(nn.Module, SupportsLoRA, SupportsMultiModal):
self.unpadded_vocab_size, self.unpadded_vocab_size,
config.hidden_size, config.hidden_size,
org_num_embeddings=config.vocab_size, org_num_embeddings=config.vocab_size,
padding_size=( padding_size=DEFAULT_VOCAB_PADDING_SIZE,
DEFAULT_VOCAB_PADDING_SIZE
# We need bigger padding if using lora for kernel
# compatibility
if not lora_config else lora_config.lora_vocab_padding_size),
quant_config=quant_config, quant_config=quant_config,
) )
if config.tie_word_embeddings: if config.tie_word_embeddings: