p

Signed-off-by: khluu <khluu000@gmail.com>

docker/Dockerfile

@@ -506,6 +506,7 @@ RUN apt-get update -y \
         curl \
         sudo \
         python3-pip \
+        git \
         ffmpeg \
         libsm6 \
         libxext6 \

requirements/common.txt

@@ -7,7 +7,7 @@ requests >= 2.26.0
 tqdm
 blake3
 py-cpuinfo
-transformers >= 4.56.0, < 5
+transformers @ git+https://github.com/huggingface/transformers.git@main
 tokenizers >= 0.21.1  # Required for fast incremental detokenization.
 protobuf >= 5.29.6, !=6.30.*, !=6.31.*, !=6.32.*, !=6.33.0.*, !=6.33.1.*, !=6.33.2.*, !=6.33.3.*, !=6.33.4.* # Required by LlamaTokenizer, gRPC. CVE-2026-0994
 fastapi[standard] >= 0.115.0 # Required by FastAPI's form models in the OpenAI API server's audio transcriptions endpoint.

vllm/v1/spec_decode/eagle.py

@@ -1506,6 +1506,24 @@ class SpecDecodeBaseProposer:
                 del self.model.lm_head
             self.model.lm_head = target_language_model.lm_head
 
+            # MTP models call compute_logits via shared_head.head (a
+            # ParallelLMHead inside each MTP layer), not self.model.lm_head.
+            # If the checkpoint omits a copy of the lm_head weights at the
+            # MTP layer path, shared_head.head stays uninitialised and
+            # produces NaN logits. Always share it explicitly.
+            inner = getattr(self.model, "model", None)
+            layers = getattr(inner, "layers", None) if inner else None
+            if layers is not None:
+                items = layers.values() if isinstance(layers, nn.ModuleDict) else layers
+                for layer in items:
+                    sh = getattr(layer, "shared_head", None)
+                    if sh is not None and hasattr(sh, "head"):
+                        del sh.head
+                        sh.head = target_language_model.lm_head
+                        logger.info(
+                            "Shared target model lm_head with MTP shared_head.head."
+                        )
+
     @torch.inference_mode()
     def dummy_run(
         self,