README.md

metadata

title: Construction Code-Citation Model
emoji: 🏗️
colorFrom: blue
colorTo: yellow
sdk: gradio
sdk_version: 4.44.1
python_version: '3.12'
app_file: app.py
pinned: false
license: mit
short_description: Llama 4 Scout 17B MoE for OSHA hazard + citation

Construction Code-Citation Model (v3 · Llama 4 Scout · AutoScientist)

Llama 4 Scout 17B-16E MoE fine-tuned by AutoScientist for construction-safety incident classification and OSHA 29 CFR 1926 citation grounding. 82% win rate on our task vs base Llama 4 Scout, and 72% win rate on the broader Governance benchmark — no specialization trade-off.

Inference goes through Together AI's hosted endpoint. v2 (Llama 3.2 3B) auto-falls-back if the Together endpoint is unavailable, so the demo cannot go dark.

• v3 (primary): rigidhat/llama-4-scout-17b-construction-codecite-v3 — 82% task, 72% Governance
• v2 (fallback): rigidhat/llama-3.2-3b-construction-codecite-v2 — 77% task
• Dataset: rigidhat/construction-code-corpus-v1
• Baseline (Qwen 2.5 1.5B QLoRA): rigidhat/qwen-2.5-construction-codecite-v1

Built for the Adaption Labs AutoScientist Challenge, "All Other Domains" category. Credit to Adaptive Data by Adaption.