Today, we’re thrilled to unveil the @arcee_ai Foundation Models, a new family of GenAI models designed from the ground up for enterprise reality.
The first release—AFM-4.5B—is a 4.5-billion-parameter frontier model that delivers excellent accuracy, strict compliance, and very high cost efficiency.
In short: enterprise-grade intelligence that can run anywhere—on a smartphone, at the edge, or in the cloud.
For a quick taste, you can test AFM-4.5B in our playground and on https://t.co/GlP5HPmyNA.
For a deeper dive into the model’s training pipeline and benchmarks, details are available in our technical blog post.
➡️ Arcee AI playground: https://t.co/WhULvvyE9G
➡️ @togethercompute playground: https://t.co/3qweIql3SA
➡️ Launch blog post: https://t.co/VxV7AG9D1q
➡️ Technical blog post: https://t.co/UUDfZJzecJ
PS: As we’ll now focus on our AFM foundation models, and because we love open-source, we're opening up access to our previously closed-source language models. Details in the tech blog post!
benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.
Why it matters
A 4.5B model built to run on phone, edge or cloud gives you an option when a hosted frontier model is too expensive or cannot leave your infrastructure, and it is testable in a playground first.
