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  • Trinity-Large-Thinking | Arcee AI Documentation
    Overview Trinity-Large-Thinking is a reasoning-optimized variant of Arcee AI's Trinity-Large family — a 398B-parameter sparse Mixture-of-Experts (MoE) model with approximately 13B active parameters per token Built on Trinity-Large-Base and post-trained with extended chain-of-thought reasoning and agentic RL, Trinity-Large-Thinking delivers state-of-the-art performance on agentic benchmarks
  • Arcees new, open source Trinity-Large-Thinking is the rare . . .
    One answer: Arcee, a San Francisco based lab, which this week released AI Trinity-Large-Thinking —a 399-billion parameter text-only reasoning model released under the uncompromisingly open
  • Arcee AI Releases Trinity Large Thinking: An Apache 2. 0 Open . . .
    The landscape of open-source artificial intelligence has shifted from purely generative models toward systems capable of complex, multi-step reasoning While proprietary ‘reasoning’ models have dominated the conversation, Arcee AI has released Trinity Large Thinking This release is an open
  • Arcee AI Launches Trinity-Large-Thinking Open Reasoning Model
    The landscape of open-weights artificial intelligence has witnessed a decisive shift this week with the release of Arcee AI's latest model, Trinity-Large-Thinking Moving beyond the limitations of standard autoregressive chat models, Arcee AI has engineered a system specifically designed to handle complex, multi-step logical reasoning and autonomous tool use This release, distributed under
  • Arcee AI releases Trinity-Large-Thinking, a 399B-parameter . . .
    By Carl Franzen VentureBeat View the full context on Techmeme
  • Arcee AI: Trinity Large Thinking - AI Model Details Ben. . .
    Trinity Large Thinking is a powerful open source reasoning model from the team at Arcee AI It shows strong performance in PinchBench, agentic workloads, and reasoning tasks
  • Trinity Large Thinking | AI Model | Theres An AI For That
    Trinity-Large-Thinking is Arcee AI’s open-source reasoning model for long-horizon agents and multi-turn tool use It is built to improve context coherence, instruction following, and stability across extended agent loops, and is released under Apache 2 0 for developers and enterprises that want open weights they can inspect, host, and post-train





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