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vllm - 💡(How to fix) Fix [Bug]: vllm/vllm-openai:nightly-18013df6ae27c3fb941307c46c975227126d641f Missing pandas package [1 participants]

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vllm-project/vllm#40144•Fetched 2026-04-18 05:52:23
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Error Message

When I deployed Qwen3 using the latest official Docker image of vllm, an error occurred： Traceback (most recent call last):

RAW_BUFFERClick to expand / collapse

Your current environment

docker run -d
--name vllm
--runtime nvidia
--gpus '"device=0,1,2,3,4,5,6,7"'
--shm-size 64g
-p 5678:8000
-v /root/.cache/huggingface:/root/.cache/huggingface
-e VLLM_ALLOW_LONG_MAX_MODEL_LEN=1
--entrypoint bash
vllm/vllm-openai:nightly
-c "vllm serve global_step_70/actor
--host 0.0.0.0
--port 8000
--served-model-name qwen3-rl-latest
--trust-remote-code
--dtype bfloat16
--max-model-len 81920
--tensor-parallel-size 1
--data-parallel-size 8
--max-num-seqs 24
--max-num-batched-tokens 163840
--gpu-memory-utilization 0.95
--enable-chunked-prefill
--enable-prefix-caching"

🐛 Describe the bug

When I deployed Qwen3 using the latest official Docker image of vllm, an error occurred： Traceback (most recent call last): File "/usr/local/bin/vllm", line 4, in <module> from vllm.entrypoints.cli.main import main File "/usr/local/lib/python3.12/dist-packages/vllm/entrypoints/cli/init.py", line 4, in <module> from vllm.entrypoints.cli.benchmark.mm_processor import ( File "/usr/local/lib/python3.12/dist-packages/vllm/entrypoints/cli/benchmark/mm_processor.py", line 5, in <module> from vllm.benchmarks.mm_processor import add_cli_args, main File "/usr/local/lib/python3.12/dist-packages/vllm/benchmarks/mm_processor.py", line 25, in <module> from vllm.benchmarks.datasets import ( File "/usr/local/lib/python3.12/dist-packages/vllm/benchmarks/datasets/init.py", line 4, in <module> from vllm.benchmarks.datasets.datasets import ( File "/usr/local/lib/python3.12/dist-packages/vllm/benchmarks/datasets/datasets.py", line 45, in <module> from vllm.lora.utils import get_adapter_absolute_path File "/usr/local/lib/python3.12/dist-packages/vllm/lora/utils.py", line 18, in <module> from vllm.lora.layers import ( File "/usr/local/lib/python3.12/dist-packages/vllm/lora/layers/init.py", line 4, in <module> from vllm.lora.layers.column_parallel_linear import ( File "/usr/local/lib/python3.12/dist-packages/vllm/lora/layers/column_parallel_linear.py", line 13, in <module> from vllm.model_executor.layers.linear import ( File "/usr/local/lib/python3.12/dist-packages/vllm/model_executor/layers/linear.py", line 28, in <module> from vllm.model_executor.layers.utils import ( File "/usr/local/lib/python3.12/dist-packages/vllm/model_executor/layers/utils.py", line 11, in <module> from vllm._aiter_ops import rocm_aiter_ops File "/usr/local/lib/python3.12/dist-packages/vllm/_aiter_ops.py", line 6, in <module> import pandas as pd ModuleNotFoundError: No module named 'pandas'

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extent analysis

TL;DR

The error is likely due to the missing pandas library, which is required by the vllm package.

Guidance

  • The error message ModuleNotFoundError: No module named 'pandas' indicates that the pandas library is not installed in the Docker container.
  • To fix this, you can add pip install pandas to the Dockerfile or install it manually in the container before running the vllm command.
  • Verify that the pandas library is installed by running pip list pandas in the container.
  • If you are using a Docker Compose file, you can add a pip install command to the command section to install the required library.

Example

You can add the following line to your Dockerfile to install the pandas library:

RUN pip install pandas

Notes

This solution assumes that the pandas library is compatible with the Python version used in the vllm package.

Recommendation

Apply workaround: Install the pandas library manually or add it to the Dockerfile, as it is not included in the official vllm Docker image.

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