Harness-S：从兄弟 Harness 中学习以实现通用智能体训练
Harness-S: Learning from Sibling Harnesses for Generalizable Agent Training
Harness-S 通过从兄弟 Harness 中学习，实现了通用智能体训练。该模型在 MMLU 评测中达到 82.5 分，比基线模型快 3.2 倍，上下文长度为 128k tokens，参数规模为 175B。模型已开源，可通过 API 调用。
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来源: Hugging Face Daily Papers · huggingface.co