Recursive SI 发布首个模型 Flint,这是一个 40B MoE、2.5B 激活参数的本地编码模型,以 Apache 2.0 开源权重发布在 Hugging Face。
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.
推荐理由:Flint 以 40B MoE、2.5B 激活参数和 Apache 2.0 开源权重给出本地编码模型的速度与质量对照。