Initial commit: RunPod multi-modal AI orchestration stack
- Multi-modal AI infrastructure for RunPod RTX 4090 - Automatic model orchestration (text, image, music) - Text: vLLM + Qwen 2.5 7B Instruct - Image: Flux.1 Schnell via OpenEDAI - Music: MusicGen Medium via AudioCraft - Cost-optimized sequential loading on single GPU - Template preparation scripts for rapid deployment - Comprehensive documentation (README, DEPLOYMENT, TEMPLATE)
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model-orchestrator/Dockerfile
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model-orchestrator/Dockerfile
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FROM python:3.11-slim
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WORKDIR /app
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# Install system dependencies
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RUN apt-get update && apt-get install -y \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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# Copy requirements and install Python dependencies
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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# Copy application code
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COPY orchestrator.py .
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COPY models.yaml .
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# Expose port
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EXPOSE 9000
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# Run the orchestrator
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CMD ["python", "orchestrator.py"]
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