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Nex-N1: Agentic Models Trained via a Unified Ecosystem for Large-Scale Environment Construction
Paper • 2512.04987 • Published • 71 -
nex-agi/DeepSeek-V3.1-Nex-N1
Text Generation • 671B • Updated • 110 • 27 -
nex-agi/Qwen3-32B-Nex-N1
Text Generation • 33B • Updated • 44.8k • 14 -
nex-agi/Qwen3-30B-A3B-Nex-N1
31B • Updated • 337 • 14
AI & ML interests
AGI, Nex
Recent Activity
View all activity
Papers
Nex-N1: Agentic Models Trained via a Unified Ecosystem for Large-Scale Environment Construction
BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping
Organization Card
Nex-AGI是由上海创智学院发起的创新联盟,旨在建设一个可持续的能动性闭环开源生态
Nex-AGI, an innovation alliance initiated by the Shanghai Innovation Institute, aims to build a sustainable, agency-driven, closed-loop, open-source ecosystem.
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Nex-N1: Agentic Models Trained via a Unified Ecosystem for Large-Scale Environment Construction
Paper • 2512.04987 • Published • 71 -
nex-agi/DeepSeek-V3.1-Nex-N1
Text Generation • 671B • Updated • 110 • 27 -
nex-agi/Qwen3-32B-Nex-N1
Text Generation • 33B • Updated • 44.8k • 14 -
nex-agi/Qwen3-30B-A3B-Nex-N1
31B • Updated • 337 • 14