biondizzle/vllm
1
0
Fork 0
Code Issues Pull Requests Actions 2 Packages Projects Releases Wiki Activity

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

Browse Source 
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
Download Patch File Download Diff File Expand all files Collapse all files

31
vllm/model_executor/models/falcon_h1.py
View File

@@ -30,7 +30,6 @@ from vllm.model_executor.layers.mamba.mamba_utils import (
from vllm.model_executor.layers.quantization import QuantizationConfig
from vllm.model_executor.layers.rotary_embedding import get_rope
from vllm.model_executor.layers.vocab_parallel_embedding import (
DEFAULT_VOCAB_PADDING_SIZE,
ParallelLMHead,
VocabParallelEmbedding,
)
@@ -424,21 +423,15 @@ class FalconH1Model(nn.Module):
model_config = vllm_config.model_config
cache_config = vllm_config.cache_config
quant_config = vllm_config.quant_config
lora_config = vllm_config.lora_config
self.config = config
lora_vocab = (
(lora_config.lora_extra_vocab_size * (lora_config.max_loras or 1))
if lora_config
else 0
)
self.vocab_size = config.vocab_size + lora_vocab
self.org_vocab_size = config.vocab_size
self.vocab_size = config.vocab_size
if get_pp_group().is_first_rank:
self.embed_tokens = VocabParallelEmbedding(
self.vocab_size,
config.hidden_size,
org_num_embeddings=config.vocab_size,
)
self.embedding_multiplier = config.embedding_multiplier
else:
@@ -572,7 +565,7 @@ class FalconH1ForCausalLM(
config = vllm_config.model_config.hf_config
self.vllm_config = vllm_config
self.model_config = vllm_config.model_config
lora_config = vllm_config.lora_config
scheduler_config = vllm_config.scheduler_config
self.quant_config = vllm_config.quant_config
@@ -584,21 +577,11 @@ class FalconH1ForCausalLM(
vllm_config=vllm_config, prefix=maybe_prefix(prefix, "model")
)
self.tie_word_embeddings = config.tie_word_embeddings
self.unpadded_vocab_size = config.vocab_size
if lora_config:
self.unpadded_vocab_size += lora_config.lora_extra_vocab_size
if get_pp_group().is_last_rank:
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
# We need bigger padding if using lora for kernel
# compatibility
if not lora_config
else lora_config.lora_vocab_padding_size
),
prefix=maybe_prefix(prefix, "lm_head"),
)
self.lm_head_multiplier = config.lm_head_multiplier
@@ -607,7 +590,7 @@ class FalconH1ForCausalLM(
# Used to track and store by the Mamba cache between steps.
self.logits_processor = LogitsProcessor(
self.unpadded_vocab_size,
config.vocab_size,
config.vocab_size,
scale=config.lm_head_multiplier,
)