Guang Liang

This work presents ZGCM-1, a fully open 7B dense foundation model trained from scratch with extreme data, system, and algorithmic efficiency, and establishes an AI-native R&D workflow where agent swarms autonomously manage cluster operations, data curation, and rapid diagnostic evaluation.

You don't need a massive model to beat Gemini-2.5-Pro in real-world content moderation: Xuanwu VL-2B achieves superior recall on policy-violating text using only 2B parameters.

Quantizing Vision Transformers to 4-bit precision no longer requires a painful trade-off between accuracy, speed, and memory, thanks to a new activation-first training method that's 100x faster.