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[Bug]: OLMo 2 models fail to load/run #18503

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#18504
Closed
[Bug]: OLMo 2 models fail to load/run#18503
#18504
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bugSomething isn't working
@2015aroras

Description

@2015aroras
2015aroras
opened on May 21, 2025

Your current environment

The output of python collect_env.py 
INFO 05-21 20:04:05 [__init__.py:248] Automatically detected platform cuda.
Collecting environment information...
==============================
        System Info
==============================
OS                           : Ubuntu 22.04.5 LTS (x86_64)
GCC version                  : (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version                : Could not collect
CMake version                : Could not collect
Libc version                 : glibc-2.35

==============================
       PyTorch Info
==============================
PyTorch version              : 2.7.0+cu126
Is debug build               : False
CUDA used to build PyTorch   : 12.6
ROCM used to build PyTorch   : N/A

==============================
      Python Environment
==============================
Python version               : 3.12.9 | packaged by Anaconda, Inc. | (main, Feb  6 2025, 18:56:27) [GCC 11.2.0] (64-bit runtime)
Python platform              : Linux-5.15.0-136-generic-x86_64-with-glibc2.35

==============================
       CUDA / GPU Info
==============================
Is CUDA available            : True
CUDA runtime version         : Could not collect
CUDA_MODULE_LOADING set to   : LAZY
GPU models and configuration : GPU 0: NVIDIA RTX A6000
Nvidia driver version        : 570.124.06
cuDNN version                : Could not collect
HIP runtime version          : N/A
MIOpen runtime version       : N/A
Is XNNPACK available         : True

==============================
          CPU Info
==============================
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):                               112
On-line CPU(s) list:                  0-111
Vendor ID:                            GenuineIntel
Model name:                           Intel(R) Xeon(R) Gold 6348 CPU @ 2.60GHz
CPU family:                           6
Model:                                106
Thread(s) per core:                   2
Core(s) per socket:                   28
Socket(s):                            2
Stepping:                             6
CPU max MHz:                          3500.0000
CPU min MHz:                          800.0000
BogoMIPS:                             5200.00
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 pni pclmulqdq dtes64 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 invpcid_single intel_ppin ssbd mba ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi 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 wbnoinvd dtherm ida arat pln pts hwp hwp_act_window hwp_epp hwp_pkg_req avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg tme avx512_vpopcntdq la57 rdpid fsrm md_clear pconfig flush_l1d arch_capabilities
Virtualization:                       VT-x
L1d cache:                            2.6 MiB (56 instances)
L1i cache:                            1.8 MiB (56 instances)
L2 cache:                             70 MiB (56 instances)
L3 cache:                             84 MiB (2 instances)
NUMA node(s):                         4
NUMA node0 CPU(s):                    0-13,56-69
NUMA node1 CPU(s):                    14-27,70-83
NUMA node2 CPU(s):                    28-41,84-97
NUMA node3 CPU(s):                    42-55,98-111
Vulnerability Gather data sampling:   Mitigation; Microcode
Vulnerability Itlb multihit:          Not affected
Vulnerability L1tf:                   Not affected
Vulnerability Mds:                    Not affected
Vulnerability Meltdown:               Not affected
Vulnerability Mmio stale data:        Mitigation; Clear CPU buffers; SMT vulnerable
Vulnerability Reg file data sampling: Not affected
Vulnerability Retbleed:               Not affected
Vulnerability Spec rstack overflow:   Not affected
Vulnerability Spec store bypass:      Mitigation; Speculative Store Bypass disabled via prctl and seccomp
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 SW loop, KVM SW loop
Vulnerability Srbds:                  Not affected
Vulnerability Tsx async abort:        Not affected

==============================
Versions of relevant libraries
==============================
[pip3] numpy==2.2.6
[pip3] nvidia-cublas-cu12==12.6.4.1
[pip3] nvidia-cuda-cupti-cu12==12.6.80
[pip3] nvidia-cuda-nvrtc-cu12==12.6.77
[pip3] nvidia-cuda-runtime-cu12==12.6.77
[pip3] nvidia-cudnn-cu12==9.5.1.17
[pip3] nvidia-cufft-cu12==11.3.0.4
[pip3] nvidia-cufile-cu12==1.11.1.6
[pip3] nvidia-curand-cu12==10.3.7.77
[pip3] nvidia-cusolver-cu12==11.7.1.2
[pip3] nvidia-cusparse-cu12==12.5.4.2
[pip3] nvidia-cusparselt-cu12==0.6.3
[pip3] nvidia-nccl-cu12==2.26.2
[pip3] nvidia-nvjitlink-cu12==12.6.85
[pip3] nvidia-nvtx-cu12==12.6.77
[pip3] pyzmq==26.4.0
[pip3] torch==2.7.0
[pip3] torchaudio==2.7.0
[pip3] torchvision==0.22.0
[pip3] transformers==4.52.2
[pip3] triton==3.3.0
[conda] numpy                     2.2.6                    pypi_0    pypi
[conda] nvidia-cublas-cu12        12.6.4.1                 pypi_0    pypi
[conda] nvidia-cuda-cupti-cu12    12.6.80                  pypi_0    pypi
[conda] nvidia-cuda-nvrtc-cu12    12.6.77                  pypi_0    pypi
[conda] nvidia-cuda-runtime-cu12  12.6.77                  pypi_0    pypi
[conda] nvidia-cudnn-cu12         9.5.1.17                 pypi_0    pypi
[conda] nvidia-cufft-cu12         11.3.0.4                 pypi_0    pypi
[conda] nvidia-cufile-cu12        1.11.1.6                 pypi_0    pypi
[conda] nvidia-curand-cu12        10.3.7.77                pypi_0    pypi
[conda] nvidia-cusolver-cu12      11.7.1.2                 pypi_0    pypi
[conda] nvidia-cusparse-cu12      12.5.4.2                 pypi_0    pypi
[conda] nvidia-cusparselt-cu12    0.6.3                    pypi_0    pypi
[conda] nvidia-nccl-cu12          2.26.2                   pypi_0    pypi
[conda] nvidia-nvjitlink-cu12     12.6.85                  pypi_0    pypi
[conda] nvidia-nvtx-cu12          12.6.77                  pypi_0    pypi
[conda] pyzmq                     26.4.0                   pypi_0    pypi
[conda] torch                     2.7.0                    pypi_0    pypi
[conda] torchaudio                2.7.0                    pypi_0    pypi
[conda] torchvision               0.22.0                   pypi_0    pypi
[conda] transformers              4.52.2                   pypi_0    pypi
[conda] triton                    3.3.0                    pypi_0    pypi

==============================
         vLLM Info
==============================
ROCM Version                 : Could not collect
Neuron SDK Version           : N/A
vLLM Version                 : 0.9.0
vLLM Build Flags:
  CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled
GPU Topology:
        GPU0    CPU Affinity    NUMA Affinity   GPU NUMA ID
GPU0     X      0-13,56-69      0               N/A

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

==============================
     Environment Variables
==============================
NVIDIA_VISIBLE_DEVICES=all
NVIDIA_REQUIRE_CUDA=cuda>=12.8 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551 brand=unknown,driver>=560,driver<561 brand=grid,driver>=560,driver<561 brand=tesla,driver>=560,driver<561 brand=nvidia,driver>=560,driver<561 brand=quadro,driver>=560,driver<561 brand=quadrortx,driver>=560,driver<561 brand=nvidiartx,driver>=560,driver<561 brand=vapps,driver>=560,driver<561 brand=vpc,driver>=560,driver<561 brand=vcs,driver>=560,driver<561 brand=vws,driver>=560,driver<561 brand=cloudgaming,driver>=560,driver<561 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566
NVIDIA_DRIVER_CAPABILITIES=graphics,utility,compute
CUDA_VERSION=12.8.0
LD_LIBRARY_PATH=/usr/local/cuda/lib:/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
NCCL_CUMEM_ENABLE=0
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1
CUDA_MODULE_LOADING=LAZY

🐛 Describe the bug

Trying to load an OLMo 2 model as below leads to a ValueError.

from vllm.entrypoints.llm import LLM

model = LLM("allenai/OLMo-2-0425-1B")

Error:

INFO 05-21 20:01:47 [default_loader.py:279] Loading weights took 0.72 seconds
ERROR 05-21 20:01:47 [core.py:493] EngineCore failed to start.
ERROR 05-21 20:01:47 [core.py:493] Traceback (most recent call last):
ERROR 05-21 20:01:47 [core.py:493]   File "/weka/oe-training-default/shanea/vllm/vllm/v1/engine/core.py", line 484, in run_engine_core
ERROR 05-21 20:01:47 [core.py:493]     engine_core = EngineCoreProc(*args, **kwargs)
ERROR 05-21 20:01:47 [core.py:493]                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 05-21 20:01:47 [core.py:493]   File "/weka/oe-training-default/shanea/vllm/vllm/v1/engine/core.py", line 383, in __init__
ERROR 05-21 20:01:47 [core.py:493]     super().__init__(vllm_config, executor_class, log_stats,
ERROR 05-21 20:01:47 [core.py:493]   File "/weka/oe-training-default/shanea/vllm/vllm/v1/engine/core.py", line 71, in __init__
ERROR 05-21 20:01:47 [core.py:493]     self.model_executor = executor_class(vllm_config)
ERROR 05-21 20:01:47 [core.py:493]                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 05-21 20:01:47 [core.py:493]   File "/weka/oe-training-default/shanea/vllm/vllm/executor/executor_base.py", line 52, in __init__
ERROR 05-21 20:01:47 [core.py:493]     self._init_executor()
ERROR 05-21 20:01:47 [core.py:493]   File "/weka/oe-training-default/shanea/vllm/vllm/executor/uniproc_executor.py", line 47, in _init_executor
ERROR 05-21 20:01:47 [core.py:493]     self.collective_rpc("load_model")
ERROR 05-21 20:01:47 [core.py:493]   File "/weka/oe-training-default/shanea/vllm/vllm/executor/uniproc_executor.py", line 56, in collective_rpc
ERROR 05-21 20:01:47 [core.py:493]     answer = run_method(self.driver_worker, method, args, kwargs)
ERROR 05-21 20:01:47 [core.py:493]              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 05-21 20:01:47 [core.py:493]   File "/weka/oe-training-default/shanea/vllm/vllm/utils.py", line 2598, in run_method
ERROR 05-21 20:01:47 [core.py:493]     return func(*args, **kwargs)
ERROR 05-21 20:01:47 [core.py:493]            ^^^^^^^^^^^^^^^^^^^^^
ERROR 05-21 20:01:47 [core.py:493]   File "/weka/oe-training-default/shanea/vllm/vllm/v1/worker/gpu_worker.py", line 163, in load_model
ERROR 05-21 20:01:47 [core.py:493]     self.model_runner.load_model()
ERROR 05-21 20:01:47 [core.py:493]   File "/weka/oe-training-default/shanea/vllm/vllm/v1/worker/gpu_model_runner.py", line 1517, in load_model
ERROR 05-21 20:01:47 [core.py:493]     self.model = get_model(vllm_config=self.vllm_config)
ERROR 05-21 20:01:47 [core.py:493]                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 05-21 20:01:47 [core.py:493]   File "/weka/oe-training-default/shanea/vllm/vllm/model_executor/model_loader/__init__.py", line 52, in get_model
ERROR 05-21 20:01:47 [core.py:493]     return loader.load_model(vllm_config=vllm_config)
ERROR 05-21 20:01:47 [core.py:493]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 05-21 20:01:47 [core.py:493]   File "/weka/oe-training-default/shanea/vllm/vllm/model_executor/model_loader/default_loader.py", line 288, in load_model
ERROR 05-21 20:01:47 [core.py:493]     raise ValueError(
ERROR 05-21 20:01:47 [core.py:493] ValueError: Following weights were not initialized from checkpoint: {'model.embed_tokens.weight', 'model.layers.11.self_attn.k_norm.weight', 'model.layers.15.mlp.gate_up_proj.weight', 'model.layers.13.mlp.down_proj.weight',
...

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