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[Bugfix] Merge MM embeddings by index instead of token IDs (#16229)

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Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>
Signed-off-by: NickLucche <nlucches@redhat.com>
Signed-off-by: Roger Wang <hey@rogerw.io>
Co-authored-by: NickLucche <nlucches@redhat.com>
Co-authored-by: Roger Wang <hey@rogerw.io>
This commit is contained in:
Cyrus Leung
2025-09-27 16:15:12 +08:00
committed by GitHub
parent 176173989a
commit 27d7638b94
80 changed files with 966 additions and 1139 deletions
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6
vllm/model_executor/models/mimo_mtp.py
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@@ -117,6 +117,9 @@ class MiMoMultiTokenPredictor(nn.Module):
self.logits_processor = LogitsProcessor(config.vocab_size)
def get_input_embeddings(self, input_ids: torch.Tensor) -> torch.Tensor:
return self.embed_tokens(input_ids)
def forward(
self,
input_ids: torch.Tensor,
@@ -158,6 +161,9 @@ class MiMoMTP(nn.Module):
self.config.hidden_size,
prefix=maybe_prefix(prefix, "lm_head"))
def get_input_embeddings(self, input_ids: torch.Tensor) -> torch.Tensor:
return self.model.get_input_embeddings(input_ids)
def forward(
self,
input_ids: torch.Tensor,