I built a 3B lease risk scanner that runs without an external LLM API
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Fine-tuning a 3B model for lease risk without external API is actionable for AI/ML practitioners.
Lease Lens is a contract risk scanner built with a fine-tuned Llama 3.2 3B model that runs entirely locally via Hugging Face Spaces or GGUF for Ollama, avoiding external LLM APIs to protect private lease data. The fine-tuned 3B model achieved a 0.406 F1 on CUAD extraction, outperforming both the base 3B (0.119) and an 8B fine-tune (0.357), while deterministic guards ensure extracted quotes appear verbatim in the source text. The app checks 11 risk categories, highlights exact language, and drafts negotiation emails without sending data to third-party services.