I ran Qwen3.5 35B on my iPhone at 5.6 tok/SEC
Runs 19.5GB Qwen3.5 on 12GB RAM iPhone via memory swapping.
Jax implementation of the PGE algorithm (Prioritized Grammar Enumeration)
Pure JAX pipeline enables GPU acceleration where previous Python implementations stalled.
Data scientists and researchers in symbolic regression
gplearn · PySR · pypge
Runs 19.5GB Qwen3.5 on 12GB RAM iPhone via memory swapping.
Kernel ttm.pages_limit workaround unlocks 16GB UMA for Vulkan inference on repurposed crypto hardware.
Side-by-side snippets (old hack → modern CSS) with difficulty, browser-compat scores and a playground make this an instant lookup for refactors. The curation is pragmatic — examples like translate-centering → place-items, scrollbar-gutter, and OKLCH color swaps show you exactly what to replace and why. I’d love inline live sandboxes and per-browser caveats for tricky edge cases, but the site already shaves hours off common CSS archaeology.
Bypasses NVIDIA's artificial FP4 lock—122B MoE on single desktop GPU at 31 tok/s.
FSI German course with modern UX, but only Unit 1 is available right now.
Mac lid-closed awake toggle, but Amphetamine already does this better.