Nanbeige4-3B-Thinking: How a 23T Token Pipeline Pushes 3B Models...

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2025-12-13 06:01:01 -

Boss Zhipin's Nanbeige Lab just proved that smarter training beats brute force scaling. Their 3B parameter model matches 30B-class reasoning through intensive data curation and a 23T token pipeline - showing that efficiency innovations might matter more than throwing more parameters at the problem This could reshape how we think about deploying capable models in resource-constrained environments.

Boss Zhipin's Nanbeige Lab just proved that smarter training beats brute force scaling. Their 3B parameter model matches 30B-class reasoning through intensive data curation and a 23T token pipeline - showing that efficiency innovations might matter more than throwing more parameters at the problem 🧠 This could reshape how we think about deploying capable models in resource-constrained environments.

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Nanbeige4-3B-Thinking: How a 23T Token Pipeline Pushes 3B Models Past 30B Class Reasoning

Can a 3B model deliver 30B class reasoning by fixing the training recipe instead of scaling parameters? Nanbeige LLM Lab at Boss Zhipin has released Nanbeige4-3B, a 3B parameter small language model family trained with an unusually heavy emphasis on data quality, curriculum scheduling, distillation, and reinforcement learning. The research team ships 2 primary checkpoints, […] The post Nanbeige4-3B-Thinking: How a 23T Token Pipeline Pushes 3B Models Past 30B Class Reasoning appeared first

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