Arcee unveils AFM-4.5B, the first of its foundation models
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- x.com
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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!
Context
Arcee introduced the Arcee Foundation Models (AFM), a family it says is built for enterprise deployment rather than chasing the largest possible scale. Its first release, AFM-4.5B, is a 4.5-billion-parameter model that Arcee describes as accurate, compliant, and inexpensive enough to run on a smartphone, at the network edge, or in the cloud.
Developers can test the model in Arcee's own playground or on Together AI's playground before deciding whether to deploy it, and Arcee published a companion technical post detailing its training pipeline and results alongside the launch.
Arcee also said that, with AFM now its primary focus, it would begin opening access to language models it had previously kept closed-source.
- benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.
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