feat(docker-images): add vLLM-based Nanonets-OCR2-3B image, Qwen3-VL Ollama image and refactor build/docs/tests to use new runtime/layout

Dockerfile_minicpm45v_ollama_gpu_VRAM9GB

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+# MiniCPM-V 4.5 GPU Variant
+# Vision-Language Model with NVIDIA GPU support
+FROM ollama/ollama:latest
+
+LABEL maintainer="Task Venture Capital GmbH <hello@task.vc>"
+LABEL description="MiniCPM-V 4.5 Vision-Language Model - GPU optimized"
+LABEL org.opencontainers.image.source="https://code.foss.global/host.today/ht-docker-ai"
+
+# Environment configuration
+ENV MODEL_NAME="minicpm-v"
+ENV OLLAMA_HOST="0.0.0.0"
+ENV OLLAMA_ORIGINS="*"
+
+# Copy and setup entrypoint
+COPY image_support_files/minicpm45v_entrypoint.sh /usr/local/bin/docker-entrypoint.sh
+RUN chmod +x /usr/local/bin/docker-entrypoint.sh
+
+# Expose Ollama API port
+EXPOSE 11434
+
+# Health check
+HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
+    CMD curl -f http://localhost:11434/api/tags || exit 1
+
+ENTRYPOINT ["/usr/local/bin/docker-entrypoint.sh"]