Models

Reasoning-optimized 398B MoE agent model with extended thinking for long-horizon and multi-turn tool use

Lightly post-trained 398B MoE chat model for creative work, long-context prompts, and tool-using agents

Experimental chat-tuned 6B MoE model with 1B active parameters for low-resource chat and instruction following

Reasoning-tuned 26B MoE model with 3B active parameters for agents, tools, and multi-step workloads

Virtuoso‑Large is Arcee's top‑tier general‑purpose LLM at 72 B parameters, tuned to tackle cross‑domain reasoning, creative writing and enterprise QA. Unlike many 70 B peers, it retains the 128 k...

Coder‑Large is a 32 B‑parameter offspring of Qwen 2.5‑Instruct that has been further trained on permissively‑licensed GitHub, CodeSearchNet and synthetic bug‑fix corpora. It supports a 32k context window, enabling multi‑file...