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Junrulu

Junrulu
tencent
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https://www.linkedin.com/in/junrulu/

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upvoted a paper about 1 hour ago
Youtu-Agent: Scaling Agent Productivity with Automated Generation and Hybrid Policy Optimization
posted an update about 18 hours ago
We are pleased to introduce a brand-new lightweight LLM, Youtu-LLM: (1) Youtu-LLM has a total of 2B parameters, employing a 32-layer dense MLA architecture and equipped with an innovative STEM- and agentic-oriented vocabulary; (2) Based on approximately 11T tokens of pre-training, particularly with native 128k long context extension and native agentic mid-training, Youtu-LLM-2B is comparable to Qwen3-4B in general and agent capabilities; (3) We have open-sourced the Base/Instruct versions, as well as the evaluation code for reproducing the test metrics. In the technical report, we share our experience of native agentic pre-training in detail. Youtu-LLM-2B is very suitable as a starting point for exploring on-device agent practice. Meanwhile, we are currently extending this paradigm to larger-scale explorations. We welcome more discussion and collaboration! 🔗 Check the project here: https://github.com/TencentCloudADP/youtu-tip/tree/master/youtu-llm 🤗 Check the models here: https://huggingface.co/collections/tencent/youtu
updated a model about 22 hours ago
tencent/Youtu-LLM-2B
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