Files
runpod/scripts/download-models.sh
Sebastian Krüger 9ee626a78e feat: implement Ansible-based process architecture for RunPod
Major architecture overhaul to address RunPod Docker limitations:

Core Infrastructure:
- Add base_service.py: Abstract base class for all AI services
- Add service_manager.py: Process lifecycle management
- Add core/requirements.txt: Core dependencies

Model Services (Standalone Python):
- Add models/vllm/server.py: Qwen 2.5 7B text generation
- Add models/flux/server.py: Flux.1 Schnell image generation
- Add models/musicgen/server.py: MusicGen Medium music generation
- Each service inherits from GPUService base class
- OpenAI-compatible APIs
- Standalone execution support

Ansible Deployment:
- Add playbook.yml: Comprehensive deployment automation
- Add ansible.cfg: Ansible configuration
- Add inventory.yml: Localhost inventory
- Tags: base, python, dependencies, models, tailscale, validate, cleanup

Scripts:
- Add scripts/install.sh: Full installation wrapper
- Add scripts/download-models.sh: Model download wrapper
- Add scripts/start-all.sh: Start orchestrator
- Add scripts/stop-all.sh: Stop all services

Documentation:
- Update ARCHITECTURE.md: Document distributed VPS+GPU architecture

Benefits:
- No Docker: Avoids RunPod CAP_SYS_ADMIN limitations
- Fully reproducible via Ansible
- Extensible: Add models in 3 steps
- Direct Python execution (no container overhead)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-21 15:37:18 +01:00

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Bash

#!/bin/bash
#
# Download AI Models
# Wrapper for Ansible models tag
#
set -e
cd "$(dirname "$0")/.."
echo "========================================="
echo " Downloading AI Models (~37GB)"
echo "========================================="
echo ""
# Source .env if it exists
if [ -f .env ]; then
set -a
source .env
set +a
fi
# Check HF_TOKEN
if [ -z "$HF_TOKEN" ]; then
echo "Error: HF_TOKEN not set"
echo "Add HF_TOKEN to .env file"
exit 1
fi
# Run Ansible with models tag
ansible-playbook playbook.yml --tags models
echo ""
echo "========================================="
echo " Model download complete!"
echo "========================================="