Machine Learning Models: A Buyer's Checklist

TL;DR: A comprehensive 20-point checklist for buying ML models safely and ensuring you get what you pay for.

By

Escrozon Admin
·

A comprehensive 20-point checklist for buying ML models safely and ensuring you get what you pay for.

Use this checklist when buying an ML model on Escrozon to ensure you get exactly what you're paying for.

Model Files

  • [ ] Model weights file provided (.pt, .h5, .onnx, .safetensors)
  • [ ] Model architecture code or config
  • [ ] Tokenizer/preprocessor files (for NLP)
  • [ ] Label mapping (for classification)

Code & Documentation

  • [ ] Inference script with example usage
  • [ ] Requirements.txt or environment.yml
  • [ ] README with setup instructions
  • [ ] API documentation (if serving as API)
  • [ ] Training script (for fine-tuning)

Performance

  • [ ] Benchmark results on standard datasets
  • [ ] Comparison with baseline models
  • [ ] Latency measurements
  • [ ] Memory usage during inference

Legal & Licensing

  • [ ] Commercial use license included
  • [ ] Training data sources disclosed
  • [ ] No GPL/AGPL contamination (unless acceptable)
  • [ ] Third-party model dependencies documented

Support

  • [ ] Seller offers post-sale support
  • [ ] Update/bug fix policy documented
  • [ ] Contact information provided

Using Escrozon's AI Escrow

Complete this checklist before confirming receipt. If any item is missing, communicate with the seller in the deal chat. If the seller can't provide it, open a dispute. Escrozon's Phoenix AI can help mediate technical disputes and our moderators make fair decisions based on the evidence.

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Frequently Asked Questions

Escrozon is an AI Digital Escrow Marketplace. We enable safe buying and selling of digital products — websites, AI software, digital assets, social media accounts, and more — using AI-powered escrow protection. Funds are held securely until both parties confirm the transaction.