Category: Arcee models

This category contains 6 pages.

• AFM-4.5B · The first from-scratch Arcee Foundation Model: a 4.5B-parameter enterprise-focused open-weight LLM trained on 8 trillion tokens, later extended to a 64K context window.
• Trinity (model family) · Arcee AI's open-weight sparse mixture-of-experts line: edge-scale Nano, agent-focused Mini, the 400B Trinity Large, and a Thinking reasoning branch.
• Trinity Large · Arcee AI's 400B-parameter sparse mixture-of-experts flagship, trained from scratch on 17 trillion tokens and released in January 2026; widely described as the largest open-weight model from a US lab to that date.
• Trinity Large Thinking · Arcee AI's April 2026 open-weight reasoning model: an Apache 2.0 variant of the 400B-parameter Trinity Large, post-trained with SFT and RL for long-horizon agent and tool-use workloads.
• Trinity Mini · Arcee AI's 26B-parameter sparse mixture-of-experts model (3B active) for agents and tool orchestration, released open-weight under Apache 2.0 in December 2025.
• Trinity Nano · Arcee AI's 6B-parameter sparse mixture-of-experts model (about 1B active per token) with a 128K context window, aimed at edge, embedded, and offline deployments.