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An error occurred when directly deploying the Qwen3-Next 80B-A3B-Thinking model saved by the save_pretrained of transformers using vllm. However, directly deploying the original model was normal #40968

@zhanlun150729

Description

@zhanlun150729

System Info

System Info

Who can help?

(zhihu_0210_bak_0403) root@nb-zhanlun-zl-0914-1-0:/home# python collect_env.py
Collecting environment information...

    System Info

==============================
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 3.28.3
Libc version : glibc-2.35

==============================
PyTorch Info

PyTorch version : 2.8.0+cu128
Is debug build : False
CUDA used to build PyTorch : 12.8
ROCM used to build PyTorch : N/A

==============================
Python Environment

Python version : 3.10.14 (main, May 6 2024, 19:42:50) [GCC 11.2.0] (64-bit runtime)
Python platform : Linux-5.4.0-42-generic-x86_64-with-glibc2.35

==============================
CUDA / GPU Info

Is CUDA available : True
CUDA runtime version : 12.4.99
CUDA_MODULE_LOADING set to : LAZY
GPU models and configuration :
GPU 0: NVIDIA A800-SXM4-80GB
GPU 1: NVIDIA A800-SXM4-80GB
GPU 2: NVIDIA A800-SXM4-80GB
GPU 3: NVIDIA A800-SXM4-80GB
GPU 4: NVIDIA A800-SXM4-80GB
GPU 5: NVIDIA A800-SXM4-80GB
GPU 6: NVIDIA A800-SXM4-80GB
GPU 7: NVIDIA A800-SXM4-80GB

Image

Information

  • The official example scripts
  • My own modified scripts

Tasks

  • An officially supported task in the examples folder (such as GLUE/SQuAD, ...)
  • My own task or dataset (give details below)

Reproduction

An error occurred when directly deploying the Qwen3-Next 80B-A3B-Thinking model saved by the save_pretrained of transformers using vllm. However, directly deploying the original model was normal

Image Image

Expected behavior

正常部署,实际报错

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