Richard Socher· @RichardSocher · X·· 3 小时前AI 评分58
AI 导读
Recursive_SI 发布首个模型 Flint，一个快速本地编码模型，由其自动化研究系统 Eureka Machine 从零构建，用时不到 4 个月。MacBook Pro 上达 125+ tokens/sec，RTX Spark 上 150+ tokens/sec，号称比同类模型快至多 2 倍。开放权重已上架 Hugging Face，可本地运行，也可在 opencode 或 pidotdev 免费试用。
正文 · 原文
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.
来源：Richard Socher · x.com