Show HN: Open-source engine running Gemma 4 26B in 2 GB RAM on any M-series Mac
AI Hot frames this as an actionable signal for AI agents, AI coding, or LLM release decisions — not a general news recap.
What happened
Hi HN, I built a specialized inference engine for running 4-bit Gemma 4 26B-A4B-IT on any M-series Mac using about 2 GB of RAM. It is called TurboFieldfare and is written in Swift and Metal. I have always adored on-device AI. It feels like magic that you can run a powerful NN on your Mac or iPhone.
Why it matters
This AIitem is part of today's AI agents / AI coding / LLM releases signal feed. It is worth checking because it may affect product decisions, developer workflows, model choices, market timing, or policy risk. Open the original source for full context and verification.
Who should care
builders, founders, and product people who need a quick read on today’s AI shifts.
What to do next
Use this as a AI decision signal: compare it with your agent workflow, coding stack, model watchlist, or launch roadmap; then save or share it if it changes a build, buy, or positioning decision.
Original sources
AI Hot summarizes public source material and links back for verification. Use the original source for full reporting, quotes, and context.