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[GH-ISSUE #351] Can not load DeepSeek-R1-Distill-Llama-70B with VLLM #272

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opened 2026-10-26 21:18:27 +00:00 by bsakaguchi · 4 comments
bsakaguchi commented 2026-10-26 21:18:27 +00:00
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Originally created by @Tian14267 on GitHub (Feb 10, 2025).
Original GitHub issue: https://github.com/deepseek-ai/DeepSeek-R1/issues/351

大神们好，
我用vllm部署DeepSeek-R1-Distill-Llama-70B，一直报错。

我的命令：
vllm serve deepseek-ai/DeepSeek-R1-Distill-Llama-70B --tensor-parallel-size 4 --max-model-len 4096 --enforce-eager --port 8001

服务器的信息：

Collecting environment information...
PyTorch version: 2.4.1+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
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: Could not collect
CMake version: version 3.30.0
Libc version: glibc-2.35

Python version: 3.10.16 (main, Dec 11 2024, 16:24:50) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-5.15.0-107-generic-x86_64-with-glibc2.35
Is CUDA available: True
CUDA runtime version: 12.5.40
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: 
GPU 0: NVIDIA A800 80GB PCIe
GPU 1: NVIDIA A800 80GB PCIe
GPU 2: NVIDIA A800 80GB PCIe
GPU 3: NVIDIA A800 80GB PCIe

Nvidia driver version: 555.42.02
cuDNN version: Could not collect
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:                      52 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 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 avx_vnni avx512_bf16 wbnoinvd dtherm ida arat pln pts hwp hwp_act_window hwp_epp hwp_pkg_req 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 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 and seccomp
Vulnerability Spectre v1:           Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2:           Mitigation; Enhanced 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] numpy==1.26.4
[pip3] nvidia-cublas-cu12==12.1.3.1
[pip3] nvidia-cuda-cupti-cu12==12.1.105
[pip3] nvidia-cuda-nvrtc-cu12==12.1.105
[pip3] nvidia-cuda-runtime-cu12==12.1.105
[pip3] nvidia-cudnn-cu12==9.1.0.70
[pip3] nvidia-cufft-cu12==11.0.2.54
[pip3] nvidia-curand-cu12==10.3.2.106
[pip3] nvidia-cusolver-cu12==11.4.5.107
[pip3] nvidia-cusparse-cu12==12.1.0.106
[pip3] nvidia-ml-py==12.570.86
[pip3] nvidia-nccl-cu12==2.20.5
[pip3] nvidia-nvjitlink-cu12==12.4.127
[pip3] nvidia-nvtx-cu12==12.1.105
[pip3] pyzmq==26.2.1
[pip3] torch==2.4.1
[pip3] torchaudio==2.4.1
[pip3] torchvision==0.19.1
[pip3] transformers==4.46.3
[pip3] triton==3.0.0
[conda] numpy                     1.26.4                   pypi_0    pypi
[conda] nvidia-cublas-cu12        12.1.3.1                 pypi_0    pypi
[conda] nvidia-cuda-cupti-cu12    12.1.105                 pypi_0    pypi
[conda] nvidia-cuda-nvrtc-cu12    12.1.105                 pypi_0    pypi
[conda] nvidia-cuda-runtime-cu12  12.1.105                 pypi_0    pypi
[conda] nvidia-cudnn-cu12         9.1.0.70                 pypi_0    pypi
[conda] nvidia-cufft-cu12         11.0.2.54                pypi_0    pypi
[conda] nvidia-curand-cu12        10.3.2.106               pypi_0    pypi
[conda] nvidia-cusolver-cu12      11.4.5.107               pypi_0    pypi
[conda] nvidia-cusparse-cu12      12.1.0.106               pypi_0    pypi
[conda] nvidia-ml-py              12.570.86                pypi_0    pypi
[conda] nvidia-nccl-cu12          2.20.5                   pypi_0    pypi
[conda] nvidia-nvjitlink-cu12     12.4.127                 pypi_0    pypi
[conda] nvidia-nvtx-cu12          12.1.105                 pypi_0    pypi
[conda] pyzmq                     26.2.1                   pypi_0    pypi
[conda] torch                     2.4.1                    pypi_0    pypi
[conda] torchaudio                2.4.1                    pypi_0    pypi
[conda] torchvision               0.19.1                   pypi_0    pypi
[conda] transformers              4.46.3                   pypi_0    pypi
[conda] triton                    3.0.0                    pypi_0    pypi
ROCM Version: Could not collect
Neuron SDK Version: N/A
vLLM Version: 0.7.1
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled
GPU Topology:
GPU0	GPU1	GPU2	GPU3	NIC0	NIC1	CPU Affinity	NUMA Affinity	GPU NUMA ID
GPU0	 X 	PXB	PXB	PXB	NODE	NODE	0-31,64-95	0		N/A
GPU1	PXB	 X 	PXB	PXB	NODE	NODE	0-31,64-95	0		N/A
GPU2	PXB	PXB	 X 	PXB	NODE	NODE	0-31,64-95	0		N/A
GPU3	PXB	PXB	PXB	 X 	NODE	NODE	0-31,64-95	0		N/A
NIC0	NODE	NODE	NODE	NODE	 X 	PIX				
NIC1	NODE	NODE	NODE	NODE	PIX	 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

LD_LIBRARY_PATH=/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/cv2/../../lib64:/usr/local/cuda/lib64::/usr/local/cuda-12.2/lib64
CUDA_HOME=/usr/local/cuda
CUDA_HOME=/usr/local/cuda
NCCL_CUMEM_ENABLE=0
TORCHINDUCTOR_COMPILE_THREADS=1
CUDA_MODULE_LOADING=LAZY

tokenizers                        0.20.3
tomli                             2.2.1
torch                             2.4.1
torchaudio                        2.4.1
torchvision                       0.19.1
tqdm                              4.67.1
transformers                      4.46.3
triton                            3.0.0
typing_extensions                 4.12.2
urllib3                           2.3.0
uvicorn                           0.34.0
uvloop                            0.21.0
virtualenv                        20.29.1
vllm                              0.7.1

报错信息：

(VllmWorkerProcess pid=252469) INFO 02-07 08:53:57 model_runner.py:1111] Starting to load model deepseek-ai/DeepSeek-R1-Distill-Llama-70B...
(VllmWorkerProcess pid=252470) INFO 02-07 08:53:57 model_runner.py:1111] Starting to load model deepseek-ai/DeepSeek-R1-Distill-Llama-70B...
(VllmWorkerProcess pid=252471) INFO 02-07 08:53:57 model_runner.py:1111] Starting to load model deepseek-ai/DeepSeek-R1-Distill-Llama-70B...
Loading safetensors checkpoint shards:   0% Completed | 0/16 [00:00<?, ?it/s]
Loading safetensors checkpoint shards:   6% Completed | 1/16 [00:01<00:20,  1.36s/it]
Loading safetensors checkpoint shards:  12% Completed | 2/16 [00:02<00:20,  1.45s/it]
Loading safetensors checkpoint shards:  19% Completed | 3/16 [00:04<00:18,  1.41s/it]
Loading safetensors checkpoint shards:  25% Completed | 4/16 [00:06<00:19,  1.66s/it]
Loading safetensors checkpoint shards:  31% Completed | 5/16 [00:08<00:19,  1.78s/it]
Loading safetensors checkpoint shards:  38% Completed | 6/16 [00:09<00:17,  1.75s/it]
Loading safetensors checkpoint shards:  44% Completed | 7/16 [00:11<00:16,  1.79s/it]
Loading safetensors checkpoint shards:  50% Completed | 8/16 [00:13<00:13,  1.74s/it]
Loading safetensors checkpoint shards:  56% Completed | 9/16 [00:15<00:12,  1.72s/it]
Loading safetensors checkpoint shards:  62% Completed | 10/16 [00:16<00:10,  1.75s/it]
Loading safetensors checkpoint shards:  69% Completed | 11/16 [00:18<00:08,  1.80s/it]
Loading safetensors checkpoint shards:  75% Completed | 12/16 [00:19<00:05,  1.35s/it]
Loading safetensors checkpoint shards:  81% Completed | 13/16 [00:21<00:04,  1.49s/it]
Loading safetensors checkpoint shards:  88% Completed | 14/16 [00:21<00:02,  1.29s/it]
Loading safetensors checkpoint shards:  94% Completed | 15/16 [00:22<00:01,  1.12s/it]
Loading safetensors checkpoint shards: 100% Completed | 16/16 [00:23<00:00,  1.01it/s]
Loading safetensors checkpoint shards: 100% Completed | 16/16 [00:23<00:00,  1.45s/it]

ERROR 02-07 08:54:39 engine.py:387] Following weights were not initialized from checkpoint: {'model.layers.47.mlp.gate_up_proj.weight', 'model.layers.49.input_layernorm.weight', 'model.layers.45.mlp.gate_up_proj.weight', 'model.layers.48.mlp.down_proj.weight', 'model.layers.48.self_attn.qkv_proj.weight', 'model.layers.46.input_layernorm.weight', 'model.layers.47.self_attn.o_proj.weight', 'model.layers.46.self_attn.qkv_proj.weight', 'model.layers.45.self_attn.o_proj.weight', 'model.layers.49.self_attn.qkv_proj.weight', 'model.layers.46.mlp.down_proj.weight', 'model.layers.48.self_attn.o_proj.weight', 'model.layers.49.mlp.gate_up_proj.weight', 'model.layers.46.mlp.gate_up_proj.weight', 'model.layers.47.post_attention_layernorm.weight', 'model.layers.49.mlp.down_proj.weight', 'model.layers.46.self_attn.o_proj.weight', 'model.layers.49.self_attn.o_proj.weight', 'model.layers.47.input_layernorm.weight', 'model.layers.47.mlp.down_proj.weight', 'model.layers.45.post_attention_layernorm.weight', 'model.layers.45.mlp.down_proj.weight', 'model.layers.49.post_attention_layernorm.weight', 'model.layers.46.post_attention_layernorm.weight', 'model.layers.48.post_attention_layernorm.weight', 'model.layers.47.self_attn.qkv_proj.weight', 'model.layers.45.input_layernorm.weight', 'model.layers.48.mlp.gate_up_proj.weight', 'model.layers.48.input_layernorm.weight'}
ERROR 02-07 08:54:39 engine.py:387] Traceback (most recent call last):
ERROR 02-07 08:54:39 engine.py:387]   File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/engine/multiprocessing/engine.py", line 378, in run_mp_engine
ERROR 02-07 08:54:39 engine.py:387]     engine = MQLLMEngine.from_engine_args(engine_args=engine_args,
ERROR 02-07 08:54:39 engine.py:387]   File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/engine/multiprocessing/engine.py", line 121, in from_engine_args
ERROR 02-07 08:54:39 engine.py:387]     return cls(ipc_path=ipc_path,
ERROR 02-07 08:54:39 engine.py:387]   File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/engine/multiprocessing/engine.py", line 73, in __init__
ERROR 02-07 08:54:39 engine.py:387]     self.engine = LLMEngine(*args, **kwargs)
ERROR 02-07 08:54:39 engine.py:387]   File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/engine/llm_engine.py", line 271, in __init__
ERROR 02-07 08:54:39 engine.py:387]     self.model_executor = executor_class(vllm_config=vllm_config, )
ERROR 02-07 08:54:39 engine.py:387]   File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/executor/executor_base.py", line 260, in __init__
ERROR 02-07 08:54:39 engine.py:387]     super().__init__(*args, **kwargs)
ERROR 02-07 08:54:39 engine.py:387]   File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/executor/executor_base.py", line 49, in __init__
ERROR 02-07 08:54:39 engine.py:387]     self._init_executor()
ERROR 02-07 08:54:39 engine.py:387]   File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/executor/mp_distributed_executor.py", line 123, in _init_executor
ERROR 02-07 08:54:39 engine.py:387]     self._run_workers("load_model",
ERROR 02-07 08:54:39 engine.py:387]   File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/executor/mp_distributed_executor.py", line 183, in _run_workers
ERROR 02-07 08:54:39 engine.py:387]     driver_worker_output = run_method(self.driver_worker, sent_method,
ERROR 02-07 08:54:39 engine.py:387]   File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/utils.py", line 2208, in run_method
ERROR 02-07 08:54:39 engine.py:387]     return func(*args, **kwargs)
ERROR 02-07 08:54:39 engine.py:387]   File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/worker/worker.py", line 182, in load_model
ERROR 02-07 08:54:39 engine.py:387]     self.model_runner.load_model()
ERROR 02-07 08:54:39 engine.py:387]   File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/worker/model_runner.py", line 1113, in load_model
ERROR 02-07 08:54:39 engine.py:387]     self.model = get_model(vllm_config=self.vllm_config)
ERROR 02-07 08:54:39 engine.py:387]   File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/model_executor/model_loader/__init__.py", line 12, in get_model
ERROR 02-07 08:54:39 engine.py:387]     return loader.load_model(vllm_config=vllm_config)
ERROR 02-07 08:54:39 engine.py:387]   File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/model_executor/model_loader/loader.py", line 387, in load_model
ERROR 02-07 08:54:39 engine.py:387]     raise ValueError(
ERROR 02-07 08:54:39 engine.py:387] ValueError: Following weights were not initialized from checkpoint: {'model.layers.47.mlp.gate_up_proj.weight', 'model.layers.49.input_layernorm.weight', 'model.layers.45.mlp.gate_up_proj.weight', 'model.layers.48.mlp.down_proj.weight', 'model.layers.48.self_attn.qkv_proj.weight', 'model.layers.46.input_layernorm.weight', 'model.layers.47.self_attn.o_proj.weight', 'model.layers.46.self_attn.qkv_proj.weight', 'model.layers.45.self_attn.o_proj.weight', 'model.layers.49.self_attn.qkv_proj.weight', 'model.layers.46.mlp.down_proj.weight', 'model.layers.48.self_attn.o_proj.weight', 'model.layers.49.mlp.gate_up_proj.weight', 'model.layers.46.mlp.gate_up_proj.weight', 'model.layers.47.post_attention_layernorm.weight', 'model.layers.49.mlp.down_proj.weight', 'model.layers.46.self_attn.o_proj.weight', 'model.layers.49.self_attn.o_proj.weight', 'model.layers.47.input_layernorm.weight', 'model.layers.47.mlp.down_proj.weight', 'model.layers.45.post_attention_layernorm.weight', 'model.layers.45.mlp.down_proj.weight', 'model.layers.49.post_attention_layernorm.weight', 'model.layers.46.post_attention_layernorm.weight', 'model.layers.48.post_attention_layernorm.weight', 'model.layers.47.self_attn.qkv_proj.weight', 'model.layers.45.input_layernorm.weight', 'model.layers.48.mlp.gate_up_proj.weight', 'model.layers.48.input_layernorm.weight'}
ERROR 02-07 08:54:41 multiproc_worker_utils.py:122] Worker VllmWorkerProcess pid 252471 died, exit code: -15
INFO 02-07 08:54:41 multiproc_worker_utils.py:126] Killing local vLLM worker processes
Process SpawnProcess-1:
Traceback (most recent call last):
  File "/data/miniconda3/envs/fffan_py310/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap
    self.run()
  File "/data/miniconda3/envs/fffan_py310/lib/python3.10/multiprocessing/process.py", line 108, in run
    self._target(*self._args, **self._kwargs)
  File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/engine/multiprocessing/engine.py", line 389, in run_mp_engine
    raise e
  File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/engine/multiprocessing/engine.py", line 378, in run_mp_engine
    engine = MQLLMEngine.from_engine_args(engine_args=engine_args,
  File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/engine/multiprocessing/engine.py", line 121, in from_engine_args
    return cls(ipc_path=ipc_path,
  File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/engine/multiprocessing/engine.py", line 73, in __init__
    self.engine = LLMEngine(*args, **kwargs)
  File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/engine/llm_engine.py", line 271, in __init__
    self.model_executor = executor_class(vllm_config=vllm_config, )
  File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/executor/executor_base.py", line 260, in __init__
    super().__init__(*args, **kwargs)
  File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/executor/executor_base.py", line 49, in __init__
    self._init_executor()
  File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/executor/mp_distributed_executor.py", line 123, in _init_executor
    self._run_workers("load_model",
  File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/executor/mp_distributed_executor.py", line 183, in _run_workers
    driver_worker_output = run_method(self.driver_worker, sent_method,
  File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/utils.py", line 2208, in run_method
    return func(*args, **kwargs)
  File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/worker/worker.py", line 182, in load_model
    self.model_runner.load_model()
  File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/worker/model_runner.py", line 1113, in load_model
    self.model = get_model(vllm_config=self.vllm_config)
  File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/model_executor/model_loader/__init__.py", line 12, in get_model
    return loader.load_model(vllm_config=vllm_config)
  File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/model_executor/model_loader/loader.py", line 387, in load_model
    raise ValueError(
ValueError: Following weights were not initialized from checkpoint: {'model.layers.47.mlp.gate_up_proj.weight', 'model.layers.49.input_layernorm.weight', 'model.layers.45.mlp.gate_up_proj.weight', 'model.layers.48.mlp.down_proj.weight', 'model.layers.48.self_attn.qkv_proj.weight', 'model.layers.46.input_layernorm.weight', 'model.layers.47.self_attn.o_proj.weight', 'model.layers.46.self_attn.qkv_proj.weight', 'model.layers.45.self_attn.o_proj.weight', 'model.layers.49.self_attn.qkv_proj.weight', 'model.layers.46.mlp.down_proj.weight', 'model.layers.48.self_attn.o_proj.weight', 'model.layers.49.mlp.gate_up_proj.weight', 'model.layers.46.mlp.gate_up_proj.weight', 'model.layers.47.post_attention_layernorm.weight', 'model.layers.49.mlp.down_proj.weight', 'model.layers.46.self_attn.o_proj.weight', 'model.layers.49.self_attn.o_proj.weight', 'model.layers.47.input_layernorm.weight', 'model.layers.47.mlp.down_proj.weight', 'model.layers.45.post_attention_layernorm.weight', 'model.layers.45.mlp.down_proj.weight', 'model.layers.49.post_attention_layernorm.weight', 'model.layers.46.post_attention_layernorm.weight', 'model.layers.48.post_attention_layernorm.weight', 'model.layers.47.self_attn.qkv_proj.weight', 'model.layers.45.input_layernorm.weight', 'model.layers.48.mlp.gate_up_proj.weight', 'model.layers.48.input_layernorm.weight'}
[rank0]:[W207 08:54:41.589588204 ProcessGroupNCCL.cpp:1250] Warning: WARNING: process group has NOT been destroyed before we destruct ProcessGroupNCCL. On normal program exit, the application should call destroy_process_group to ensure that any pending NCCL operations have finished in this process. In rare cases this process can exit before this point and block the progress of another member of the process group. This constraint has always been present,  but this warning has only been added since PyTorch 2.4 (function operator())
Traceback (most recent call last):
  File "/data/miniconda3/envs/fffan_py310/bin/vllm", line 8, in <module>
    sys.exit(main())
  File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/scripts.py", line 202, in main
    args.dispatch_function(args)
  File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/scripts.py", line 42, in serve
    uvloop.run(run_server(args))
  File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/uvloop/__init__.py", line 82, in run
    return loop.run_until_complete(wrapper())
  File "uvloop/loop.pyx", line 1518, in uvloop.loop.Loop.run_until_complete
  File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/uvloop/__init__.py", line 61, in wrapper
    return await main
  File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/entrypoints/openai/api_server.py", line 873, in run_server
    async with build_async_engine_client(args) as engine_client:
  File "/data/miniconda3/envs/fffan_py310/lib/python3.10/contextlib.py", line 199, in __aenter__
    return await anext(self.gen)
  File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/entrypoints/openai/api_server.py", line 134, in build_async_engine_client
    async with build_async_engine_client_from_engine_args(
  File "/data/miniconda3/envs/fffan_py310/lib/python3.10/contextlib.py", line 199, in __aenter__
    return await anext(self.gen)
  File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/entrypoints/openai/api_server.py", line 228, in build_async_engine_client_from_engine_args
    raise RuntimeError(
RuntimeError: Engine process failed to start. See stack trace for the root cause.
/data/miniconda3/envs/fffan_py310/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 3 leaked semaphore objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
/data/miniconda3/envs/fffan_py310/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 1 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
Originally created by @Tian14267 on GitHub (Feb 10, 2025). Original GitHub issue: https://github.com/deepseek-ai/DeepSeek-R1/issues/351 大神们好， 我用vllm部署DeepSeek-R1-Distill-Llama-70B，一直报错。 我的命令： `vllm serve deepseek-ai/DeepSeek-R1-Distill-Llama-70B --tensor-parallel-size 4 --max-model-len 4096 --enforce-eager --port 8001` 服务器的信息： ``` Collecting environment information... PyTorch version: 2.4.1+cu121 Is debug build: False CUDA used to build PyTorch: 12.1 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: Could not collect CMake version: version 3.30.0 Libc version: glibc-2.35 Python version: 3.10.16 (main, Dec 11 2024, 16:24:50) [GCC 11.2.0] (64-bit runtime) Python platform: Linux-5.15.0-107-generic-x86_64-with-glibc2.35 Is CUDA available: True CUDA runtime version: 12.5.40 CUDA_MODULE_LOADING set to: LAZY GPU models and configuration: GPU 0: NVIDIA A800 80GB PCIe GPU 1: NVIDIA A800 80GB PCIe GPU 2: NVIDIA A800 80GB PCIe GPU 3: NVIDIA A800 80GB PCIe Nvidia driver version: 555.42.02 cuDNN version: Could not collect 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: 52 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 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 avx_vnni avx512_bf16 wbnoinvd dtherm ida arat pln pts hwp hwp_act_window hwp_epp hwp_pkg_req 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 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 and seccomp Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization Vulnerability Spectre v2: Mitigation; Enhanced 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] numpy==1.26.4 [pip3] nvidia-cublas-cu12==12.1.3.1 [pip3] nvidia-cuda-cupti-cu12==12.1.105 [pip3] nvidia-cuda-nvrtc-cu12==12.1.105 [pip3] nvidia-cuda-runtime-cu12==12.1.105 [pip3] nvidia-cudnn-cu12==9.1.0.70 [pip3] nvidia-cufft-cu12==11.0.2.54 [pip3] nvidia-curand-cu12==10.3.2.106 [pip3] nvidia-cusolver-cu12==11.4.5.107 [pip3] nvidia-cusparse-cu12==12.1.0.106 [pip3] nvidia-ml-py==12.570.86 [pip3] nvidia-nccl-cu12==2.20.5 [pip3] nvidia-nvjitlink-cu12==12.4.127 [pip3] nvidia-nvtx-cu12==12.1.105 [pip3] pyzmq==26.2.1 [pip3] torch==2.4.1 [pip3] torchaudio==2.4.1 [pip3] torchvision==0.19.1 [pip3] transformers==4.46.3 [pip3] triton==3.0.0 [conda] numpy 1.26.4 pypi_0 pypi [conda] nvidia-cublas-cu12 12.1.3.1 pypi_0 pypi [conda] nvidia-cuda-cupti-cu12 12.1.105 pypi_0 pypi [conda] nvidia-cuda-nvrtc-cu12 12.1.105 pypi_0 pypi [conda] nvidia-cuda-runtime-cu12 12.1.105 pypi_0 pypi [conda] nvidia-cudnn-cu12 9.1.0.70 pypi_0 pypi [conda] nvidia-cufft-cu12 11.0.2.54 pypi_0 pypi [conda] nvidia-curand-cu12 10.3.2.106 pypi_0 pypi [conda] nvidia-cusolver-cu12 11.4.5.107 pypi_0 pypi [conda] nvidia-cusparse-cu12 12.1.0.106 pypi_0 pypi [conda] nvidia-ml-py 12.570.86 pypi_0 pypi [conda] nvidia-nccl-cu12 2.20.5 pypi_0 pypi [conda] nvidia-nvjitlink-cu12 12.4.127 pypi_0 pypi [conda] nvidia-nvtx-cu12 12.1.105 pypi_0 pypi [conda] pyzmq 26.2.1 pypi_0 pypi [conda] torch 2.4.1 pypi_0 pypi [conda] torchaudio 2.4.1 pypi_0 pypi [conda] torchvision 0.19.1 pypi_0 pypi [conda] transformers 4.46.3 pypi_0 pypi [conda] triton 3.0.0 pypi_0 pypi ROCM Version: Could not collect Neuron SDK Version: N/A vLLM Version: 0.7.1 vLLM Build Flags: CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled GPU Topology: GPU0 GPU1 GPU2 GPU3 NIC0 NIC1 CPU Affinity NUMA Affinity GPU NUMA ID GPU0 X PXB PXB PXB NODE NODE 0-31,64-95 0 N/A GPU1 PXB X PXB PXB NODE NODE 0-31,64-95 0 N/A GPU2 PXB PXB X PXB NODE NODE 0-31,64-95 0 N/A GPU3 PXB PXB PXB X NODE NODE 0-31,64-95 0 N/A NIC0 NODE NODE NODE NODE X PIX NIC1 NODE NODE NODE NODE PIX 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 LD_LIBRARY_PATH=/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/cv2/../../lib64:/usr/local/cuda/lib64::/usr/local/cuda-12.2/lib64 CUDA_HOME=/usr/local/cuda CUDA_HOME=/usr/local/cuda NCCL_CUMEM_ENABLE=0 TORCHINDUCTOR_COMPILE_THREADS=1 CUDA_MODULE_LOADING=LAZY ``` ``` tokenizers 0.20.3 tomli 2.2.1 torch 2.4.1 torchaudio 2.4.1 torchvision 0.19.1 tqdm 4.67.1 transformers 4.46.3 triton 3.0.0 typing_extensions 4.12.2 urllib3 2.3.0 uvicorn 0.34.0 uvloop 0.21.0 virtualenv 20.29.1 vllm 0.7.1 ``` 报错信息： ``` (VllmWorkerProcess pid=252469) INFO 02-07 08:53:57 model_runner.py:1111] Starting to load model deepseek-ai/DeepSeek-R1-Distill-Llama-70B... (VllmWorkerProcess pid=252470) INFO 02-07 08:53:57 model_runner.py:1111] Starting to load model deepseek-ai/DeepSeek-R1-Distill-Llama-70B... (VllmWorkerProcess pid=252471) INFO 02-07 08:53:57 model_runner.py:1111] Starting to load model deepseek-ai/DeepSeek-R1-Distill-Llama-70B... Loading safetensors checkpoint shards: 0% Completed | 0/16 [00:00<?, ?it/s] Loading safetensors checkpoint shards: 6% Completed | 1/16 [00:01<00:20, 1.36s/it] Loading safetensors checkpoint shards: 12% Completed | 2/16 [00:02<00:20, 1.45s/it] Loading safetensors checkpoint shards: 19% Completed | 3/16 [00:04<00:18, 1.41s/it] Loading safetensors checkpoint shards: 25% Completed | 4/16 [00:06<00:19, 1.66s/it] Loading safetensors checkpoint shards: 31% Completed | 5/16 [00:08<00:19, 1.78s/it] Loading safetensors checkpoint shards: 38% Completed | 6/16 [00:09<00:17, 1.75s/it] Loading safetensors checkpoint shards: 44% Completed | 7/16 [00:11<00:16, 1.79s/it] Loading safetensors checkpoint shards: 50% Completed | 8/16 [00:13<00:13, 1.74s/it] Loading safetensors checkpoint shards: 56% Completed | 9/16 [00:15<00:12, 1.72s/it] Loading safetensors checkpoint shards: 62% Completed | 10/16 [00:16<00:10, 1.75s/it] Loading safetensors checkpoint shards: 69% Completed | 11/16 [00:18<00:08, 1.80s/it] Loading safetensors checkpoint shards: 75% Completed | 12/16 [00:19<00:05, 1.35s/it] Loading safetensors checkpoint shards: 81% Completed | 13/16 [00:21<00:04, 1.49s/it] Loading safetensors checkpoint shards: 88% Completed | 14/16 [00:21<00:02, 1.29s/it] Loading safetensors checkpoint shards: 94% Completed | 15/16 [00:22<00:01, 1.12s/it] Loading safetensors checkpoint shards: 100% Completed | 16/16 [00:23<00:00, 1.01it/s] Loading safetensors checkpoint shards: 100% Completed | 16/16 [00:23<00:00, 1.45s/it] ERROR 02-07 08:54:39 engine.py:387] Following weights were not initialized from checkpoint: {'model.layers.47.mlp.gate_up_proj.weight', 'model.layers.49.input_layernorm.weight', 'model.layers.45.mlp.gate_up_proj.weight', 'model.layers.48.mlp.down_proj.weight', 'model.layers.48.self_attn.qkv_proj.weight', 'model.layers.46.input_layernorm.weight', 'model.layers.47.self_attn.o_proj.weight', 'model.layers.46.self_attn.qkv_proj.weight', 'model.layers.45.self_attn.o_proj.weight', 'model.layers.49.self_attn.qkv_proj.weight', 'model.layers.46.mlp.down_proj.weight', 'model.layers.48.self_attn.o_proj.weight', 'model.layers.49.mlp.gate_up_proj.weight', 'model.layers.46.mlp.gate_up_proj.weight', 'model.layers.47.post_attention_layernorm.weight', 'model.layers.49.mlp.down_proj.weight', 'model.layers.46.self_attn.o_proj.weight', 'model.layers.49.self_attn.o_proj.weight', 'model.layers.47.input_layernorm.weight', 'model.layers.47.mlp.down_proj.weight', 'model.layers.45.post_attention_layernorm.weight', 'model.layers.45.mlp.down_proj.weight', 'model.layers.49.post_attention_layernorm.weight', 'model.layers.46.post_attention_layernorm.weight', 'model.layers.48.post_attention_layernorm.weight', 'model.layers.47.self_attn.qkv_proj.weight', 'model.layers.45.input_layernorm.weight', 'model.layers.48.mlp.gate_up_proj.weight', 'model.layers.48.input_layernorm.weight'} ERROR 02-07 08:54:39 engine.py:387] Traceback (most recent call last): ERROR 02-07 08:54:39 engine.py:387] File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/engine/multiprocessing/engine.py", line 378, in run_mp_engine ERROR 02-07 08:54:39 engine.py:387] engine = MQLLMEngine.from_engine_args(engine_args=engine_args, ERROR 02-07 08:54:39 engine.py:387] File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/engine/multiprocessing/engine.py", line 121, in from_engine_args ERROR 02-07 08:54:39 engine.py:387] return cls(ipc_path=ipc_path, ERROR 02-07 08:54:39 engine.py:387] File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/engine/multiprocessing/engine.py", line 73, in __init__ ERROR 02-07 08:54:39 engine.py:387] self.engine = LLMEngine(*args, **kwargs) ERROR 02-07 08:54:39 engine.py:387] File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/engine/llm_engine.py", line 271, in __init__ ERROR 02-07 08:54:39 engine.py:387] self.model_executor = executor_class(vllm_config=vllm_config, ) ERROR 02-07 08:54:39 engine.py:387] File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/executor/executor_base.py", line 260, in __init__ ERROR 02-07 08:54:39 engine.py:387] super().__init__(*args, **kwargs) ERROR 02-07 08:54:39 engine.py:387] File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/executor/executor_base.py", line 49, in __init__ ERROR 02-07 08:54:39 engine.py:387] self._init_executor() ERROR 02-07 08:54:39 engine.py:387] File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/executor/mp_distributed_executor.py", line 123, in _init_executor ERROR 02-07 08:54:39 engine.py:387] self._run_workers("load_model", ERROR 02-07 08:54:39 engine.py:387] File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/executor/mp_distributed_executor.py", line 183, in _run_workers ERROR 02-07 08:54:39 engine.py:387] driver_worker_output = run_method(self.driver_worker, sent_method, ERROR 02-07 08:54:39 engine.py:387] File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/utils.py", line 2208, in run_method ERROR 02-07 08:54:39 engine.py:387] return func(*args, **kwargs) ERROR 02-07 08:54:39 engine.py:387] File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/worker/worker.py", line 182, in load_model ERROR 02-07 08:54:39 engine.py:387] self.model_runner.load_model() ERROR 02-07 08:54:39 engine.py:387] File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/worker/model_runner.py", line 1113, in load_model ERROR 02-07 08:54:39 engine.py:387] self.model = get_model(vllm_config=self.vllm_config) ERROR 02-07 08:54:39 engine.py:387] File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/model_executor/model_loader/__init__.py", line 12, in get_model ERROR 02-07 08:54:39 engine.py:387] return loader.load_model(vllm_config=vllm_config) ERROR 02-07 08:54:39 engine.py:387] File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/model_executor/model_loader/loader.py", line 387, in load_model ERROR 02-07 08:54:39 engine.py:387] raise ValueError( ERROR 02-07 08:54:39 engine.py:387] ValueError: Following weights were not initialized from checkpoint: {'model.layers.47.mlp.gate_up_proj.weight', 'model.layers.49.input_layernorm.weight', 'model.layers.45.mlp.gate_up_proj.weight', 'model.layers.48.mlp.down_proj.weight', 'model.layers.48.self_attn.qkv_proj.weight', 'model.layers.46.input_layernorm.weight', 'model.layers.47.self_attn.o_proj.weight', 'model.layers.46.self_attn.qkv_proj.weight', 'model.layers.45.self_attn.o_proj.weight', 'model.layers.49.self_attn.qkv_proj.weight', 'model.layers.46.mlp.down_proj.weight', 'model.layers.48.self_attn.o_proj.weight', 'model.layers.49.mlp.gate_up_proj.weight', 'model.layers.46.mlp.gate_up_proj.weight', 'model.layers.47.post_attention_layernorm.weight', 'model.layers.49.mlp.down_proj.weight', 'model.layers.46.self_attn.o_proj.weight', 'model.layers.49.self_attn.o_proj.weight', 'model.layers.47.input_layernorm.weight', 'model.layers.47.mlp.down_proj.weight', 'model.layers.45.post_attention_layernorm.weight', 'model.layers.45.mlp.down_proj.weight', 'model.layers.49.post_attention_layernorm.weight', 'model.layers.46.post_attention_layernorm.weight', 'model.layers.48.post_attention_layernorm.weight', 'model.layers.47.self_attn.qkv_proj.weight', 'model.layers.45.input_layernorm.weight', 'model.layers.48.mlp.gate_up_proj.weight', 'model.layers.48.input_layernorm.weight'} ERROR 02-07 08:54:41 multiproc_worker_utils.py:122] Worker VllmWorkerProcess pid 252471 died, exit code: -15 INFO 02-07 08:54:41 multiproc_worker_utils.py:126] Killing local vLLM worker processes Process SpawnProcess-1: Traceback (most recent call last): File "/data/miniconda3/envs/fffan_py310/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/data/miniconda3/envs/fffan_py310/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/engine/multiprocessing/engine.py", line 389, in run_mp_engine raise e File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/engine/multiprocessing/engine.py", line 378, in run_mp_engine engine = MQLLMEngine.from_engine_args(engine_args=engine_args, File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/engine/multiprocessing/engine.py", line 121, in from_engine_args return cls(ipc_path=ipc_path, File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/engine/multiprocessing/engine.py", line 73, in __init__ self.engine = LLMEngine(*args, **kwargs) File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/engine/llm_engine.py", line 271, in __init__ self.model_executor = executor_class(vllm_config=vllm_config, ) File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/executor/executor_base.py", line 260, in __init__ super().__init__(*args, **kwargs) File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/executor/executor_base.py", line 49, in __init__ self._init_executor() File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/executor/mp_distributed_executor.py", line 123, in _init_executor self._run_workers("load_model", File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/executor/mp_distributed_executor.py", line 183, in _run_workers driver_worker_output = run_method(self.driver_worker, sent_method, File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/utils.py", line 2208, in run_method return func(*args, **kwargs) File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/worker/worker.py", line 182, in load_model self.model_runner.load_model() File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/worker/model_runner.py", line 1113, in load_model self.model = get_model(vllm_config=self.vllm_config) File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/model_executor/model_loader/__init__.py", line 12, in get_model return loader.load_model(vllm_config=vllm_config) File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/model_executor/model_loader/loader.py", line 387, in load_model raise ValueError( ValueError: Following weights were not initialized from checkpoint: {'model.layers.47.mlp.gate_up_proj.weight', 'model.layers.49.input_layernorm.weight', 'model.layers.45.mlp.gate_up_proj.weight', 'model.layers.48.mlp.down_proj.weight', 'model.layers.48.self_attn.qkv_proj.weight', 'model.layers.46.input_layernorm.weight', 'model.layers.47.self_attn.o_proj.weight', 'model.layers.46.self_attn.qkv_proj.weight', 'model.layers.45.self_attn.o_proj.weight', 'model.layers.49.self_attn.qkv_proj.weight', 'model.layers.46.mlp.down_proj.weight', 'model.layers.48.self_attn.o_proj.weight', 'model.layers.49.mlp.gate_up_proj.weight', 'model.layers.46.mlp.gate_up_proj.weight', 'model.layers.47.post_attention_layernorm.weight', 'model.layers.49.mlp.down_proj.weight', 'model.layers.46.self_attn.o_proj.weight', 'model.layers.49.self_attn.o_proj.weight', 'model.layers.47.input_layernorm.weight', 'model.layers.47.mlp.down_proj.weight', 'model.layers.45.post_attention_layernorm.weight', 'model.layers.45.mlp.down_proj.weight', 'model.layers.49.post_attention_layernorm.weight', 'model.layers.46.post_attention_layernorm.weight', 'model.layers.48.post_attention_layernorm.weight', 'model.layers.47.self_attn.qkv_proj.weight', 'model.layers.45.input_layernorm.weight', 'model.layers.48.mlp.gate_up_proj.weight', 'model.layers.48.input_layernorm.weight'} [rank0]:[W207 08:54:41.589588204 ProcessGroupNCCL.cpp:1250] Warning: WARNING: process group has NOT been destroyed before we destruct ProcessGroupNCCL. On normal program exit, the application should call destroy_process_group to ensure that any pending NCCL operations have finished in this process. In rare cases this process can exit before this point and block the progress of another member of the process group. This constraint has always been present, but this warning has only been added since PyTorch 2.4 (function operator()) Traceback (most recent call last): File "/data/miniconda3/envs/fffan_py310/bin/vllm", line 8, in <module> sys.exit(main()) File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/scripts.py", line 202, in main args.dispatch_function(args) File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/scripts.py", line 42, in serve uvloop.run(run_server(args)) File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/uvloop/__init__.py", line 82, in run return loop.run_until_complete(wrapper()) File "uvloop/loop.pyx", line 1518, in uvloop.loop.Loop.run_until_complete File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/uvloop/__init__.py", line 61, in wrapper return await main File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/entrypoints/openai/api_server.py", line 873, in run_server async with build_async_engine_client(args) as engine_client: File "/data/miniconda3/envs/fffan_py310/lib/python3.10/contextlib.py", line 199, in __aenter__ return await anext(self.gen) File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/entrypoints/openai/api_server.py", line 134, in build_async_engine_client async with build_async_engine_client_from_engine_args( File "/data/miniconda3/envs/fffan_py310/lib/python3.10/contextlib.py", line 199, in __aenter__ return await anext(self.gen) File "/data/miniconda3/envs/fffan_py310/lib/python3.10/site-packages/vllm/entrypoints/openai/api_server.py", line 228, in build_async_engine_client_from_engine_args raise RuntimeError( RuntimeError: Engine process failed to start. See stack trace for the root cause. /data/miniconda3/envs/fffan_py310/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 3 leaked semaphore objects to clean up at shutdown warnings.warn('resource_tracker: There appear to be %d ' /data/miniconda3/envs/fffan_py310/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 1 leaked shared_memory objects to clean up at shutdown warnings.warn('resource_tracker: There appear to be %d ' ```
bsakaguchi 2026-10-26 21:18:27 +00:00
bsakaguchi commented 2026-10-26 21:18:28 +00:00
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@sander-1105 commented on GitHub (Feb 18, 2025):

update the torch and vllm version,and retry it.
pip3 install vllm==0.7.2
pip3 install torch==2.5.1+cu121 --index-url https://download.pytorch.org/whl/cu121

<!-- gh-comment-id:2664966930 --> @sander-1105 commented on GitHub (Feb 18, 2025): update the torch and vllm version,and retry it. pip3 install vllm==0.7.2 pip3 install torch==2.5.1+cu121 --index-url https://download.pytorch.org/whl/cu121
bsakaguchi commented 2026-10-26 21:18:28 +00:00
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@samucc commented on GitHub (Feb 24, 2025):

Your package.json has a parameter for starting 4-bit quantization, so the .weight weight file cannot be found. You need to download the model files of awq and gptq, and start using the corresponding model files. This quantization model will be associated with the original model and can be started. Has your problem been solved before? I haven't updated for a long time.

<!-- gh-comment-id:2677642488 --> @samucc commented on GitHub (Feb 24, 2025): Your package.json has a parameter for starting 4-bit quantization, so the .weight weight file cannot be found. You need to download the model files of awq and gptq, and start using the corresponding model files. This quantization model will be associated with the original model and can be started. Has your problem been solved before? I haven't updated for a long time.
bsakaguchi commented 2026-10-26 21:18:28 +00:00
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@github-actions[bot] commented on GitHub (Apr 30, 2025):

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. If you believe this issue is still relevant, please leave a comment to keep it open. Thank you for your contributions!

<!-- gh-comment-id:2840499829 --> @github-actions[bot] commented on GitHub (Apr 30, 2025): This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. If you believe this issue is still relevant, please leave a comment to keep it open. Thank you for your contributions!
bsakaguchi commented 2026-10-26 21:18:28 +00:00
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@github-actions[bot] commented on GitHub (May 30, 2025):

false

<!-- gh-comment-id:2920855706 --> @github-actions[bot] commented on GitHub (May 30, 2025): false
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