AI 精选动态
智能评分 95
Agentic Coding Milestone
AI 推荐理由
数据验证多模式对比，建议持续优化计算资源分配核心解读
Ornith-1.0-397B achieves record scores in agentic coding, outperforming previous leaders with optimized frameworks.
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New open-source SOTA on agentic coding! 🚀
Ornith-1.0-397B achieves 82.4 on SWE-bench Verified and 77.5 on Terminal-Bench 2.1, topping every open model in its class and beating Claude Opus 4.7 on both.
🤖 https://t.co/C18SvXPPDn
📦 Four sizes (9B to 397B-MoE), post-trained on Gemma 4 / Qwen 3.5, MIT licensed and globally accessible.
✨ Notably, Ornith uses RL to generate not just solution rollouts but also the scaffold that drives them. By jointly optimizing both, the model discovers better search trajectories and produces higher-quality solutions.
⚙️ Deployable on a single 8×80GB node, with vLLM and SGLang recipes in the model card.
