LingBot-Video: 30B Params with 3B Active for Embodied Video AI
alifcoder · x · 2026-07-21
LingBot-Video focuses on improving the efficiency of large video models rather than simply scaling them up. Its flagship MoE model has 30B total parameters but only activates 3B during generation.
- Performance: Delivers 3.18× the throughput of a Dense 30B model at 1M-token sequences.
- Training: Incorporates over 70,000 hours of embodied training data and a six-signal reward system.
- Benchmark: Achieves a reported 0.620 average score on RBench.
This approach offers an interesting direction for embodied AI video models by leveraging MoE architecture for better efficiency.
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