Tiny classifier face-off: Vega runs on CPU, phone, browser at 75ms on M5
alexcovo_eth · x · 2026-10-16
A comparison of the vega, jev, and laya small classifier models. Vega can run on a CPU, smartphone, or in-browser at the edge, hitting 75 ms inference on an Apple M5 with 16GB RAM—positioned for lightweight on-device deployment.
More from Models
- NVIDIA Nemotron 3.5 Super VL lands in Perplexity for Pro/Max and Agent API — perplexity_ai · 2026-10-16
- Meta's 816B open-weight Muse Spark Open hits Groq preview at 350+ tokens/sec — GroqLLC · 2026-10-16
- User evals: Opus 5.5 still leads on price-quality-speed, Sol for daily use — dreamwieber · 2026-10-16
- First hands-on with Gemini 4 Argon: standout writing beats Opus 5.5 and GPT 6 Astra — soumitrashukla9 · 2026-10-16
- Two prompts: Gemini 4 Argon turns a single-player game into full multiplayer — chongdashu · 2026-10-16
- Polymarket gives Meta just 3% to lead AI by year-end; Anthropic at 44% — Polymarket · 2026-10-16