Tencent Hunyuan Reveals Optimal Scaling Laws for Native Multimodal Pretraining

A new paper by Tencent Hunyuan systematically investigates optimal scaling laws for native multimodal pretraining from scratch. The findings reveal that the minimum loss follows predictable compute laws, guiding resource allocation for vision-language models under fixed compute budgets.

2026-07-27 ~ 2026-07-28 · 2 related posts

• Tencent Hunyuan maps scaling laws for native multimodal pretraining from scratch — Tencent-Hunyuan · 2026-07-27
• New paper maps compute-optimal scaling laws for native multimodal pre-training — burny_tech · 2026-07-28