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Add post-training folder
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42
post-training/VLM-R1/Dockerfile
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42
post-training/VLM-R1/Dockerfile
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# Use the specified base image
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FROM pytorch/pytorch:2.5.1-cuda12.4-cudnn9-devel
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# Set working directory
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WORKDIR /workspace
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# Install system dependencies
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RUN apt-get update && apt-get install -y \
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git \
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wget \
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&& rm -rf /var/lib/apt/lists/*
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# Install flash-attn using pre-built wheel
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RUN pip install --no-cache-dir \
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"https://github.com/Dao-AILab/flash-attention/releases/download/v2.7.4.post1/flash_attn-2.7.4.post1+cu12torch2.5cxx11abiFALSE-cp311-cp311-linux_x86_64.whl" || \
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pip install flash-attn --no-build-isolation
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# Install additional required packages
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RUN pip install \
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wandb==0.18.3 \
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tensorboardx \
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qwen_vl_utils \
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torchvision \
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git+https://github.com/huggingface/transformers.git
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# Copy local open-r1-multimodal repository
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COPY ./src/open-r1-multimodal /workspace/src/open-r1-multimodal
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# Install open_r1
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WORKDIR /workspace/src/open-r1-multimodal
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RUN pip install -e ".[dev]"
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WORKDIR /workspace
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# Install vllm
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RUN pip install vllm==0.7.2
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# Set environment variables for better Python output
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ENV PYTHONUNBUFFERED=1
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# Default command
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CMD ["/bin/bash"]
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