Develop the foundational legal intelligence model utilizing 0G AIOS for distributed computation and IPFS for model storage and data management, ensuring decentralized operation of the legal intelligence system.

1. Distributed Model Architecture

   • Integration with 0G AIOS for distributed model training and inference
   • IPFS-based model weights and architecture storage
   • Decentralized model versioning system
   • Model checkpoint management across storage networks

2. Training Infrastructure

   • Distributed training pipeline using 0G AIOS compute resources
   • Data ingestion from IPFS and other storage providers
   • Model parameter synchronization across nodes
   • Training progress tracking and metrics storage

3. Model Storage & Distribution

   • Model weights storage on IPFS
   • Efficient model loading from distributed storage
   • Version control for model updates
   • Redundancy across storage providers

4. Integration Components

   • Interface with decentralized-storage-layer adapters
   • 0G AIOS compute resource management
   • Cross-node model synchronization
   • Fallback mechanisms for compute and storage