基于megatron-lm镜像进行模型转换的时候报错

在使用/workspace/Pai-Megatron-Patch/toolkits/model_checkpoints_convertor/qwen/进行模型转换时报错
转换的模型为qwen3-8b ,但是目前看导入包的时候就报错了
使用的镜像megatron-lm:maca.ai3.0.0.5-torch2.4-py310-ubuntu22.04-amd64
hf2mcore_qwen2_dense_and_moe_gqa.py
File "/workspace/Pai-Megatron-Patch/toolkits/model_checkpoints_convertor/qwen/hf2mcore_qwen2_dense_and_moe_gqa.py", line 12, in <module>
from transformers.modeling_utils import WEIGHTS_INDEX_NAME, WEIGHTS_NAME, shard_checkpoint, load_sharded_checkpoint
ImportError: cannot import name 'shard_checkpoint' from 'transformers.modeling_utils' (/opt/conda/lib/python3.10/site-packages/transformers/modeling_utils.py)
E0916 16:49:29.393000 140209256093504 torch/distributed/elastic/multiprocessing/api.py:833] failed (exitcode: 1) local_rank: 0 (pid: 407) of binary: /opt/conda/bin/python3.10

尊敬的开发者您好，麻烦您描述一下CPU型号，系统内核，mx-smi回显，Docker版本，镜像名称，容器启动命令，程序运行命令

mxc500 Ubuntu 22.04. docker 27.5.1
使用镜像megatron-lm:maca.ai3.0.0.5-torch2.4-py310-ubuntu22.04-amd64
启动命令
docker run -itd --device=/dev/dri --device=/dev/mxcd --group-add video -
-network=host --name megatron_lm --security-opt seccomp=unconfined --
security-opt apparmor=unconfined --shm-size 100gb --ulimit memlock=-1 -
v /data:/data
我理解我的问题和基础的环境均无关，是否是该镜像编译的时候少安装包了，导致镜像中执行脚本报错

尊敬的开发者您好，请更新transfomers版本