Unsloth AI(@UnslothAI):Run Flint locally on 24GB RAM via Unsloth Dynamic GGUFs! Flint is the strongest MoE model under 50B parameters. Recursive’s Apache-2.0 model has 39.8B parameters (2.5B active). Run at 125 t/s on Mac, 150 on RTX Spark GGUF: https://t.co/pRwTciriIR Guide: https://t.co/mdBniK8VSO

2026.10.21 23:13

Run Flint locally on 24GB RAM via Unsloth Dynamic GGUFs! Flint is the strongest MoE model under 50B parameters. Recursive’s Apache-2.0 model has 39.8B parameters (2.5B active). Run at 125 t/s on Mac, 150 on RTX Spark GGUF: Guide:

Richard Socher@RichardSocher

2026.10.21 16:29

Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine. • Best-in-class fast local coding • Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark • Built from scratch in under 4 months Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.