Recursive Releases Flint, an Open-Weight 40B MoE Local Coding Model for Agents with 2.5B Active Params
Recursive Superintelligence has released Flint , its first model. The Recursive Flint local coding model is a mixture-of-experts (MoE) model with 40B total and 2.5B active parameters. Recursive team states that its Eureka Machine, an automated research system, helped build nearly every part of the stack. The weights are on Hugging Face under Apache 2.0. TL;DR Size: 39.8B total, about 2.5B active per token. Context: 262,144 tokens documented on the model card; the blog cites up to 512k....
Recursive Superintelligence has released Flint , its first model. The Recursive Flint local coding model is a mixture-of-experts (MoE) model with 40B total and 2.5B active parameters. Recursive team states that its Eureka Machine, an automated research system, helped build nearly every part of the stack. The weights are on Hugging Face under Apache 2.0. TL;DR Size: 39.8B total, about 2.5B active per token. Context: 262,144 tokens documented on the model card; the blog cites up to 512k....