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Update README.md

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@@ -76,13 +76,13 @@ FlagEval (Libra)** is a comprehensive evaluation system and open platform for la
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  ```python
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  pip install modelscope
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- modelscope download --model BAAI/RoboBrain2.0-7B --local_dir /nfs/RoboBrain2.0-7B
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  ```
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  ### Download FlagOS Image
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  ```python
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- docker pull flagrelease-registry.cn-beijing.cr.aliyuncs.com/flagrelease/flagrelease:flagrelease_nv_robobrain2_7B
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  ```
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  ### Start the inference service
@@ -97,10 +97,10 @@ docker run --rm --init --detach \
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  --ulimit memlock=-1 \
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  --ulimit nofile=1048576:1048576 \
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  --shm-size=32G \
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- -v /nfs:/nfs \
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  --gpus all \
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  --name flagos \
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- flagrelease-registry.cn-beijing.cr.aliyuncs.com/flagrelease/flagrelease:flagrelease_nv_robobrain2_7B \
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  sleep infinity
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  docker exec -it flagos bash
@@ -168,7 +168,7 @@ for item in response:
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  ### Q1: What should I do if the model fails to load?
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  - Check if the model weight path is correct.
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- - Ensure the Qwen3-4B model files are present in the `/share` directory inside the container.
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  - Check the container logs: `docker logs flagos`.
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  ### Q2: API call returns a timeout error. What should I do?
 
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  ```python
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  pip install modelscope
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+ modelscope download --model FlagRelease/RoboBrain2.0-7B-FlagOS --local_dir /data/RoboBrain2.0-7B
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  ```
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  ### Download FlagOS Image
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  ```python
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+ docker pull harbor.baai.ac.cn/flagrelease-public/flagrelease-nvidia-release-model_minimax-m2-tree_none-gems_3.0-scale_0.8.0-cx_none-python_3.12.3-torch_2.8.0a0_5228986c39.nv25.6-pcp_cuda12.9-gpu_nvidia003-arc_amd64-driver_570.158.01:2511041437
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  ```
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  ### Start the inference service
 
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  --ulimit memlock=-1 \
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  --ulimit nofile=1048576:1048576 \
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  --shm-size=32G \
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+ -v /data:/share/models \
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  --gpus all \
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  --name flagos \
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+ harbor.baai.ac.cn/flagrelease-public/flagrelease-nvidia-release-model_minimax-m2-tree_none-gems_3.0-scale_0.8.0-cx_none-python_3.12.3-torch_2.8.0a0_5228986c39.nv25.6-pcp_cuda12.9-gpu_nvidia003-arc_amd64-driver_570.158.01:2511041437 \
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  sleep infinity
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  docker exec -it flagos bash
 
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  ### Q1: What should I do if the model fails to load?
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  - Check if the model weight path is correct.
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+ - Ensure the model files are present in the `/share/models` directory inside the container.
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  - Check the container logs: `docker logs flagos`.
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  ### Q2: API call returns a timeout error. What should I do?