text: Title: [Bug][V1]: allenai/OLMo-2-0325-32B-Instruct - unexpected keyword argument 'inputs_embeds'
  Body: ### Your current environment
  
  <details>
  INFO 03-17 17:57:21 [__init__.py:256] Automatically detected platform cuda.
  Collecting environment information...
  PyTorch version: 2.5.1+cu124
  Is debug build: False
  CUDA used to build PyTorch: 12.4
  ROCM used to build PyTorch: N/A
  
  OS: Ubuntu 22.04.4 LTS (x86_64)
  GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
  Clang version: 14.0.0-1ubuntu1.1
  CMake version: version 3.30.4
  Libc version: glibc-2.35
  
  Python version: 3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0] (64-bit runtime)
  Python platform: Linux-6.5.0-35-generic-x86_64-with-glibc2.35
  Is CUDA available: True
  CUDA runtime version: 12.5.82
  CUDA_MODULE_LOADING set to: LAZY
  GPU models and configuration:
  GPU 0: NVIDIA H100 80GB HBM3
  GPU 1: NVIDIA H100 80GB HBM3
  GPU 2: NVIDIA H100 80GB HBM3
  GPU 3: NVIDIA H100 80GB HBM3
  GPU 4: NVIDIA H100 80GB HBM3
  GPU 5: NVIDIA H100 80GB HBM3
  GPU 6: NVIDIA H100 80GB HBM3
  GPU 7: NVIDIA H100 80GB HBM3
  
  Nvidia driver version: 555.42.02
  cuDNN version: Probably one of the following:
  /usr/lib/x86_64-linux-gnu/libcudnn.so.9.2.1
  /usr/lib/x86_64-linux-gnu/libcudnn_adv.so.9.2.1
  /usr/lib/x86_64-linux-gnu/libcudnn_cnn.so.9.2.1
  /usr/lib/x86_64-linux-gnu/libcudnn_engines_precompiled.so.9.2.1
  /usr/lib/x86_64-linux-gnu/libcudnn_engines_runtime_compiled.so.9.2.1
  /usr/lib/x86_64-linux-gnu/libcudnn_graph.so.9.2.1
  /usr/lib/x86_64-linux-gnu/libcudnn_heuristic.so.9.2.1
  /usr/lib/x86_64-linux-gnu/libcudnn_ops.so.9.2.1
  HIP runtime version: N/A
  MIOpen runtime version: N/A
  Is XNNPACK available: True
  
  CPU:
  Architecture:                       x86_64
  CPU op-mode(s):                     32-bit, 64-bit
  Address sizes:                      46 bits physical, 57 bits virtual
  Byte Order:                         Little Endian
  CPU(s):                             128
  On-line CPU(s) list:                0-127
  Vendor ID:                          GenuineIntel
  Model name:                         Intel(R) Xeon(R) Platinum 8462Y+
  CPU family:                         6
  Model:                              143
  Thread(s) per core:                 2
  Core(s) per socket:                 32
  Socket(s):                          2
  Stepping:                           8
  CPU max MHz:                        4100.0000
  CPU min MHz:                        800.0000
  BogoMIPS:                           5600.00
  Flags:                              fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cat_l2 cdp_l3 invpcid_single intel_ppin cdp_l2 ssbd mba ibrs ibpb stibp ibrs_enhanced tpr_shadow flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb intel_pt avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local split_lock_detect avx_vnni avx512_bf16 wbnoinvd dtherm ida arat pln pts hfi vnmi avx512vbmi umip pku ospke waitpkg avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg tme avx512_vpopcntdq la57 rdpid bus_lock_detect cldemote movdiri movdir64b enqcmd fsrm md_clear serialize tsxldtrk pconfig arch_lbr ibt amx_bf16 avx512_fp16 amx_tile amx_int8 flush_l1d arch_capabilities
  Virtualization:                     VT-x
  L1d cache:                          3 MiB (64 instances)
  L1i cache:                          2 MiB (64 instances)
  L2 cache:                           128 MiB (64 instances)
  L3 cache:                           120 MiB (2 instances)
  NUMA node(s):                       2
  NUMA node0 CPU(s):                  0-31,64-95
  NUMA node1 CPU(s):                  32-63,96-127
  Vulnerability Gather data sampling: Not affected
  Vulnerability Itlb multihit:        Not affected
  Vulnerability L1tf:                 Not affected
  Vulnerability Mds:                  Not affected
  Vulnerability Meltdown:             Not affected
  Vulnerability Mmio stale data:      Not affected
  Vulnerability Retbleed:             Not affected
  Vulnerability Spec rstack overflow: Not affected
  Vulnerability Spec store bypass:    Mitigation; Speculative Store Bypass disabled via prctl
  Vulnerability Spectre v1:           Mitigation; usercopy/swapgs barriers and __user pointer sanitization
  Vulnerability Spectre v2:           Mitigation; Enhanced / Automatic IBRS; IBPB conditional; RSB filling; PBRSB-eIBRS SW sequence; BHI BHI_DIS_S
  Vulnerability Srbds:                Not affected
  Vulnerability Tsx async abort:      Not affected
  
  Versions of relevant libraries:
  [pip3] mypy==1.11.1
  [pip3] mypy-extensions==1.0.0
  [pip3] numpy==1.26.4
  [pip3] nvidia-cublas-cu12==12.4.5.8
  [pip3] nvidia-cuda-cupti-cu12==12.4.127
  [pip3] nvidia-cuda-nvrtc-cu12==12.4.127
  [pip3] nvidia-cuda-runtime-cu12==12.4.127
  [pip3] nvidia-cudnn-cu12==9.1.0.70
  [pip3] nvidia-cufft-cu12==11.2.1.3
  [pip3] nvidia-curand-cu12==10.3.5.147
  [pip3] nvidia-cusolver-cu12==11.6.1.9
  [pip3] nvidia-cusparse-cu12==12.3.1.170
  [pip3] nvidia-ml-py==12.560.30
  [pip3] nvidia-nccl-cu12==2.21.5
  [pip3] nvidia-nvjitlink-cu12==12.4.127
  [pip3] nvidia-nvtx-cu12==12.4.127
  [pip3] onnx==1.14.1
  [pip3] onnxruntime==1.18.1
  [pip3] pyzmq==26.2.1
  [pip3] sentence-transformers==3.2.1
  [pip3] torch==2.5.1
  [pip3] torchaudio==2.5.1
  [pip3] torchvision==0.20.1
  [pip3] transformers==4.48.3
  [pip3] transformers-stream-generator==0.0.5
  [pip3] triton==3.1.0
  [pip3] tritonclient==2.51.0
  [pip3] vector-quantize-pytorch==1.21.2
  [conda] Could not collect
  ROCM Version: Could not collect
  Neuron SDK Version: N/A
  vLLM Version: 0.7.4.dev448+g977a16772.d20250314
  vLLM Build Flags:
  CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled
  GPU Topology:
  GPU0    GPU1    GPU2    GPU3    GPU4    GPU5    GPU6    GPU7    NIC0    NIC1    NIC2    NIC3    NIC4    NIC5    NIC6    NIC7    CPU AffinityNUMA Affinity    GPU NUMA ID
  GPU0     X      NV18    NV18    NV18    NV18    NV18    NV18    NV18    PIX     NODE    NODE    NODE    SYS     SYS     SYS     SYS     0-31,64-95   0               N/A
  GPU1    NV18     X      NV18    NV18    NV18    NV18    NV18    NV18    NODE    PIX     NODE    NODE    SYS     SYS     SYS     SYS     0-31,64-95   0               N/A
  GPU2    NV18    NV18     X      NV18    NV18    NV18    NV18    NV18    NODE    NODE    PIX     NODE    SYS     SYS     SYS     SYS     0-31,64-95   0               N/A
  GPU3    NV18    NV18    NV18     X      NV18    NV18    NV18    NV18    NODE    NODE    NODE    PIX     SYS     SYS     SYS     SYS     0-31,64-95   0               N/A
  GPU4    NV18    NV18    NV18    NV18     X      NV18    NV18    NV18    SYS     SYS     SYS     SYS     PIX     NODE    NODE    NODE    32-63,96-127 1               N/A
  GPU5    NV18    NV18    NV18    NV18    NV18     X      NV18    NV18    SYS     SYS     SYS     SYS     NODE    PIX     NODE    NODE    32-63,96-127 1               N/A
  GPU6    NV18    NV18    NV18    NV18    NV18    NV18     X      NV18    SYS     SYS     SYS     SYS     NODE    NODE    PIX     NODE    32-63,96-127 1               N/A
  GPU7    NV18    NV18    NV18    NV18    NV18    NV18    NV18     X      SYS     SYS     SYS     SYS     NODE    NODE    NODE    PIX     32-63,96-127 1               N/A
  NIC0    PIX     NODE    NODE    NODE    SYS     SYS     SYS     SYS      X      NODE    NODE    NODE    SYS     SYS     SYS     SYS
  NIC1    NODE    PIX     NODE    NODE    SYS     SYS     SYS     SYS     NODE     X      NODE    NODE    SYS     SYS     SYS     SYS
  NIC2    NODE    NODE    PIX     NODE    SYS     SYS     SYS     SYS     NODE    NODE     X      NODE    SYS     SYS     SYS     SYS
  NIC3    NODE    NODE    NODE    PIX     SYS     SYS     SYS     SYS     NODE    NODE    NODE     X      SYS     SYS     SYS     SYS
  NIC4    SYS     SYS     SYS     SYS     PIX     NODE    NODE    NODE    SYS     SYS     SYS     SYS      X      NODE    NODE    NODE
  NIC5    SYS     SYS     SYS     SYS     NODE    PIX     NODE    NODE    SYS     SYS     SYS     SYS     NODE     X      NODE    NODE
  NIC6    SYS     SYS     SYS     SYS     NODE    NODE    PIX     NODE    SYS     SYS     SYS     SYS     NODE    NODE     X      NODE
  NIC7    SYS     SYS     SYS     SYS     NODE    NODE    NODE    PIX     SYS     SYS     SYS     SYS     NODE    NODE    NODE     X
  
  Legend:
  
    X    = Self
    SYS  = Connection traversing PCIe as well as the SMP interconnect between NUMA nodes (e.g., QPI/UPI)
    NODE = Connection traversing PCIe as well as the interconnect between PCIe Host Bridges within a NUMA node
    PHB  = Connection traversing PCIe as well as a PCIe Host Bridge (typically the CPU)
    PXB  = Connection traversing multiple PCIe bridges (without traversing the PCIe Host Bridge)
    PIX  = Connection traversing at most a single PCIe bridge
    NV#  = Connection traversing a bonded set of # NVLinks
  
  NIC Legend:
  
    NIC0: mlx5_0
    NIC1: mlx5_1
    NIC2: mlx5_2
    NIC3: mlx5_3
    NIC4: mlx5_4
    NIC5: mlx5_5
    NIC6: mlx5_6
    NIC7: mlx5_7
  
  CUDA_HOME=/usr/local/cuda
  CUDA_HOME=/usr/local/cuda
  CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda
  LD_LIBRARY_PATH=:/usr/local/cuda/lib64
  NCCL_CUMEM_ENABLE=0
  TORCHINDUCTOR_COMPILE_THREADS=1
  CUDA_MODULE_LOADING=LAZY
  
  </details>
  
  ### 🐛 Describe the bug
  
  I am hitting the following 
  ```
  ERROR 03-17 17:56:39 [core.py:340] TypeError: Olmo2ForCausalLM.forward() got an unexpected keyword argument 'inputs_embeds'
  ```
  When running `vllm serve allenai/OLMo-2-0325-32B-Instruct --tensor-parallel-size 2` in V1. V0 is fine:
  
  ```
  ERROR 03-17 17:56:39 [core.py:340] EngineCore hit an exception: Traceback (most recent call last):
  ERROR 03-17 17:56:39 [core.py:340]   File "/home/tms/vllm/vllm/v1/engine/core.py", line 332, in run_engine_core
  ERROR 03-17 17:56:39 [core.py:340]     engine_core = EngineCoreProc(*args, **kwargs)
  ERROR 03-17 17:56:39 [core.py:340]   File "/home/tms/vllm/vllm/v1/engine/core.py", line 287, in __init__
  ERROR 03-17 17:56:39 [core.py:340]     super().__init__(vllm_config, executor_class, log_stats)
  ERROR 03-17 17:56:39 [core.py:340]   File "/home/tms/vllm/vllm/v1/engine/core.py", line 62, in __init__
  ERROR 03-17 17:56:39 [core.py:340]     num_gpu_blocks, num_cpu_blocks = self._initialize_kv_caches(
  ERROR 03-17 17:56:39 [core.py:340]   File "/home/tms/vllm/vllm/v1/engine/core.py", line 121, in _initialize_kv_caches
  ERROR 03-17 17:56:39 [core.py:340]     available_gpu_memory = self.model_executor.determine_available_memory()
  ERROR 03-17 17:56:39 [core.py:340]   File "/home/tms/vllm/vllm/v1/executor/abstract.py", line 66, in determine_available_memory
  ERROR 03-17 17:56:39 [core.py:340]     output = self.collective_rpc("determine_available_memory")
  ERROR 03-17 17:56:39 [core.py:340]   File "/home/tms/vllm/vllm/v1/executor/multiproc_executor.py", line 133, in collective_rpc
  ERROR 03-17 17:56:39 [core.py:340]     raise e
  ERROR 03-17 17:56:39 [core.py:340]   File "/home/tms/vllm/vllm/v1/executor/multiproc_executor.py", line 122, in collective_rpc
  ERROR 03-17 17:56:39 [core.py:340]     raise result
  ERROR 03-17 17:56:39 [core.py:340] TypeError: Olmo2ForCausalLM.forward() got an unexpected keyword argument 'inputs_embeds'
  ERROR 03-17 17:56:39 [core.py:340]
  CRITICAL 03-17 17:56:39 [core_client.py:269] Got fatal signal from worker processes, shutting down. See stack trace above for root cause issue.
  ```
  
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