Foundation Models

MemT-1.0: Towards Memory-Native Evolution featured image

MemT-1.0: Towards Memory-Native Evolution

ArXiv 2026. Team contribution (led the RL stage). 100K+ downloads within one week of release.

memtensor-team
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MemT-1.0: Towards Memory-Native Evolution featured image

MemT-1.0: Towards Memory-Native Evolution

ArXiv 2026. Team contribution (led the RL stage). 100K+ downloads within one week of release.

memtensor-team
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MemT-1.0 featured image

MemT-1.0

技术顾问 · 负责强化学习 — 记忆原生基座模型(Nano 36B-A3B / Flash 288B-A17B),开源一周下载 10 万+

MemT-1.0 featured image

MemT-1.0

Technical Advisor · RL Lead — memory-native foundation models (Nano 36B-A3B / Flash 288B-A17B); 100K+ downloads in the first week

MiniCPM5 (1B / 2B) featured image

MiniCPM5 (1B / 2B)

智能体能力负责人 — 开源端侧大模型(1B / 2B),我端到端构建了其智能体能力;累计下载 690 万+

MiniCPM5 (1B / 2B) featured image

MiniCPM5 (1B / 2B)

Agent Capability Lead — open-source on-device LLMs (1B / 2B) whose agentic capabilities I built end to end; 6.9M+ downloads

MiniCPM4: Ultra-Efficient LLMs on End Devices featured image

MiniCPM4: Ultra-Efficient LLMs on End Devices

ArXiv 2025. Team contribution (led MCP agent capabilities). 10,700+ GitHub Stars.

minicpm-team
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MiniCPM4: Ultra-Efficient LLMs on End Devices featured image

MiniCPM4: Ultra-Efficient LLMs on End Devices

ArXiv 2025. Team contribution (led MCP agent capabilities). 10,700+ GitHub Stars.

minicpm-team
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