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Description
Checklist
- 1. I have searched related issues but cannot get the expected help.
- 2. The bug has not been fixed in the latest version.
- 3. Please note that if the bug-related issue you submitted lacks corresponding environment info and a minimal reproducible demo, it will be challenging for us to reproduce and resolve the issue, reducing the likelihood of receiving feedback.
Describe the bug
root@ubuntu:/workspace/.cache/modelscope/hub/models/Qwen/Qwen3-0___6B# lmdeploy chat .
2025-10-03 08:00:59,565 - lmdeploy - WARNING - archs.py:49 - Fallback to pytorch engine because turbomind engine is not installed correctly. If you insist to use turbomind engine, you may need to reinstall lmdeploy from pypi or build from source and try again.
2025-10-03 08:01:03,375 - lmdeploy - WARNING - triton.py:24 - PytorchEngine has not been tested on triton>3.4.0.
2025-10-03 08:01:03,375 - lmdeploy - WARNING - transformers.py:22 - LMDeploy requires transformers version: [4.33.0 ~ 4.56.1], but found version: 4.56.2
2025-10-03 08:01:03,379 - lmdeploy - WARNING - model.py:58 - Device does not support bfloat16.
Loading weights from safetensors: 100%|█████████████████████████████████████████████████████████████████████| 1/1 [00:00<00:00, 1.83it/s]
double enter to end input >>> 你是谁
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double enter to end input >>>
Reproduction
感谢支持AMD显卡,之前都没机会测试
Environment
使用官方教程部署#The recommended way is to use the official ROCm PyTorch Docker image with pre-installed dependencies:
docker run -it \
--cap-add=SYS_PTRACE \
--security-opt seccomp=unconfined \
--device=/dev/kfd \
--device=/dev/dri \
--group-add video \
--ipc=host \
--network=host \
--shm-size 32G \
-v /root:/workspace \
rocm/pytorch:latest
#Once inside the container, install LMDeploy with ROCm support:
LMDEPLOY_TARGET_DEVICE=rocm pip install git+https://github.com/InternLM/lmdeploy.git