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  • Arcees new, open source Trinity-Large-Thinking is the rare . . .
    Arcee Trinity-Large-Thinking is the premier choice for organizations building autonomous agents; its sparse 400B architecture excels at "thinking" through multi-step logic, complex math, and long
  • Trinity-Large-Thinking: Scaling an Open Source Frontier Agent
    Trinity-Large-Thinking is live A frontier open reasoning model for complex, long-horizon agents and multi-turn tool calling released under Apache 2 0
  • Arcee AI releases Trinity-Large-Thinking, a 399B-parameter . . .
    Arcee AI releases Trinity-Large-Thinking, a 399B-parameter text-only reasoning model under an Apache 2 0 license, allowing full customization and commercial use — The baton of open source AI models has been passed on between several companies over the years since ChatGPT debuted in late 2022 …
  • Arcee AI Releases Trinity Large Thinking: An Apache 2. 0 Open . . .
    While proprietary ‘reasoning’ models have dominated the conversation, Arcee AI has released Trinity Large Thinking This release is an open-weight reasoning model distributed under the Apache 2 0 license, positioning it as a transparent alternative for developers building autonomous agents
  • Trinity-Large-Thinking by Arcee - completeaitraining. com
    About Trinity-Large-Thinking by Arcee Trinity-Large-Thinking by Arcee is a recently released open-weight large language model aimed at developers and researchers who want an inspectable and modifiable model
  • Trinity-Large-Thinking: Open-Source AI Model for Enterprises . . .
    The Future of Reasoning AI Trinity-Large-Thinking isn’t just a powerful model; it’s a signal It demonstrates that serious investment in reasoning-focused AI is paying off, and that open-source alternatives can compete with – and potentially surpass – closed-source offerings This is a space to watch closely
  • Arcee AI Releases Trinity-Large-Thinking Open-Source 399B
    Arcee AI, a San Francisco-based open-intelligence lab, has released Trinity-Large-Thinking, a 399-billion parameter reasoning model licensed under Apache 2 0 The model is a sparse Mixture-of-Experts architecture with roughly 13 billion active parameters per token, making it one of the most capable open-source models available for enterprise





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