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Forge — LLM training from scratch in pure C++20 + Metal on Apple Silicon.

The Instruments of LLM training — a native macOS cockpit for Forge. Train language models from scratch on Apple Silicon without a terminal.

🔥 Forge LLM training from scratch — pure C++20 + Metal on Apple Silicon No PyTorch. No MLX. No ML dependencies. Just C++, Metal kernels, and a JSON parser. 📄 Paper · 🔬 Research notes · 📐 Spec ✨ What this is A complet…

🔥 Forge Studio The Instruments of LLM training — a native macOS cockpit for Forge Train language models from scratch on Apple Silicon without ever opening a terminal. Pick a dataset, shape an architecture, hit Start — a…

…on). Validation — random 80/20 split, evaluation restricted to FSAs observed in training (out of support FE are not identified); leave one province out CV with province specific intercepts; Moran's I with row standardise…

…%+ on saturated benchmarks (zero discrimination), and fixed test sets leak into training data (contamination). LLM Index is engineered against both, from the psychometrics up: 🎯 IRT 2PL scoring Every item has a fitted d…

…rict organizing principle: Every architecture = rigorous equations + estimation/training algorithm + faithful graphical representation. Every single figure is drawn natively in TikZ/pgfplots — no imported images — so eac…

…els you ask for 📸 Screenshots Light — model library Dark — derived forge theme Training run — live loss curves, console, checkpoints Playground — streaming chat with live stats ⚡ Measured performance (M5 Max, 48 GB) Tas…