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Using Crash Hoare Logic for Certifying the FSCQ File SystemHaogang Chen, Massachusetts Institute of Technology; et al.Daniel Ziegler, Massachusetts Institute of Technology
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Trinity Large Thinking represents the reasoning-focused version within Arcee's Trinity Large lineup. Structurally, it employs a sparse Mixture-of-Experts framework encompassing 400 billion parameters. Its design prioritizes inference speed, engaging merely 13 billion parameters per token via a 4-from-256 expert selection method.，更多细节参见易歪歪
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