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ModelScope
@ModelScope2022
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China Telecom open-sources Xing4.0-29B-A4B, a 29B MoE model that activates just 4B parameters for long-horizon agents.📜 Apache 2.0. 🤖 📄 📄 🏆 Leads both comparison models on Claw-Eval, Terminal-Bench 2.1, and DeepresearchBII, while reaching 75.0 on SWE-bench Verified. 🧠 mHC + MLA + MTP supports multi-step planning, tool use, and stable execution across 256K context, expandable to 512K. ⚡ End-to-end training on domestic computing infrastructure, with system optimizations boosting throughput by about 96%. 🛠️ Supports major training, inference, and Agent frameworks, plus cross-architecture deployment and lightweight adaptation for private-domain tasks.
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