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[Model] Pass param prefix to LLMHead (#24862)

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Signed-off-by: whx-sjtu <2952154980@qq.com>
This commit is contained in:
whx
2025-09-17 16:01:27 +08:00
committed by GitHub
parent 03191cd8f0
commit 4a9375fe9d
58 changed files with 102 additions and 31 deletions
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6
vllm/model_executor/models/baichuan.py
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@@ -51,7 +51,8 @@ from vllm.sequence import IntermediateTensors
from .interfaces import SupportsLoRA, SupportsPP, SupportsQuant
from .utils import (AutoWeightsLoader, is_pp_missing_parameter,
make_empty_intermediate_tensors_factory, make_layers)
make_empty_intermediate_tensors_factory, make_layers,
maybe_prefix)
def _get_alibi_slopes(total_num_heads: int) -> torch.Tensor:
@@ -394,7 +395,8 @@ class BaiChuanBaseForCausalLM(nn.Module, SupportsLoRA, SupportsPP,
position_embedding=position_embedding)
self.lm_head = ParallelLMHead(config.vocab_size,
config.hidden_size,
quant_config=quant_config)
quant_config=quant_config,
prefix=maybe_prefix(prefix, "lm_head"))
self.lm_head.weight.weight_loader = self.lm_head_weight_loader
if self.config.tie_word_embeddings:
self.lm_head.weight = self.model.embed_tokens.weight