Model v4

Model v4 — Diverse Augmentation

Training data now uses real-world package names from PyPI (800+), npm (1300+), crates.io (500+), plus curated docker images, repo names, and system packages. No more myapp hallucinations.

Improvements

• pytohn → python — previously hallucinated myapp:v1.0, now correct
• rm mydir/ → rm -rf mydir/ — previously garbled, now correct
• pip install on PEP 668 — now suggests uvx, pipx, and venv creation
• docker ps permission — now suggests both sudo and usermod -aG docker
• All v3 fixes retained (clean EOS stopping, multi-alt where appropriate)

Stats

• 60K training examples with 2600+ unique package/project names
• No single placeholder exceeds 0.1% of training data (was 7% for myapp)
• Train loss: 0.099, eval loss: 0.068