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可在项目文件夹 `/enginex` 下查看具体可支持模型文件的运行方式。
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支持模型列表:
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- deepseek-ai/Janus-Pro-7B
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- PaddlePaddle/PaddleOCR-VL
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- deepseek-ai/DeepSeek-OCR
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- Qwen/Qwen2.5-7B-instruct
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- Qwen/Qwen2-VL-2B-Instruct
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- ZhipuAI/glm-4v-9b
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10
enginex/Janus-Pro-7B.md
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10
enginex/Janus-Pro-7B.md
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# 运行方式
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```python
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docker pull git.modelhub.org.cn:9443/enginex-hygon/pytorch:2.3.0-ubuntu22.04-dtk24.04.3-py3.10
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docker run --shm-size 500g --network=host --name=Janus --privileged --device=/dev/kfd --device=/dev/dri --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -v 项目地址(绝对路径):/home/ -v /opt/hyhal:/opt/hyhal:ro -it bash
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cd ./code_path/
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pip install -r requirements.txt
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```
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@@ -1,7 +1,7 @@
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# 运行方式
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```python
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docker pull git.modelhub.org.cn:9443/enginex-hygon/git.modelhub.org.cn:9443/enginex-hygon/pytorch:2.1.0-ubuntu20.04-dtk24.04.2-py3.10
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docker pull git.modelhub.org.cn:9443/enginex-hygon/pytorch:2.1.0-ubuntu20.04-dtk24.04.2-py3.10
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docker run -it --shm-size=1024G -v /path/your_code_data/:/path/your_code_data/ -v /opt/hyhal:/opt/hyhal --privileged=true --device=/dev/kfd --device=/dev/dri/ --group-add video --name qwen2.5_72B_pytorch bash
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cd /path/your_code_data/
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cd LLaMA-Factory
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13
enginex/glm-4v-9b.md
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13
enginex/glm-4v-9b.md
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# 运行方式
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```python
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docker pull git.modelhub.org.cn:9443/enginex-hygon/pytorch:2.1.0-ubuntu20.04-dtk24.04.1-py3.10
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docker run -it -v /path/your_code_data/:/path/your_code_data/ -v /opt/hyhal/:/opt/hyhal/:ro --shm-size=64G --privileged=true --device=/dev/kfd --device=/dev/dri/ --group-add video --name glm-4v bash
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cd /path/your_code_data/
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pip install -r requirements.txt -i http://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com
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#开发者社区下载bitsandbytes
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pip install bitsandbytes-0.42.0+das1.1.gitce85679.abi1.dtk2404.torch2.1.0-py3-none-any.whl
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```
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