Reproduce “Sol-H3: Recursive Self-Improvement for MiniMax-H3 Inference Acceleration on Sol-Engine across Cloud and Edge” on OpenResearch
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About this paper
Yitong Li, Jincheng Yu, Junsong Chen, Haopeng Li, Shuchen Xue, Haozhe Liu, Ping Luo, Song Han and 1 more
Sol-H3 addresses slow inference and memory limits for MiniMax-H3 by drafting four updates at 672×384, translating and upscaling its latent, then refining with LTX-2.5 for three updates at 1344×768, avoiding a VAE decode/re-encode. On GB200, this five-second run takes 6.852 seconds versus 152.3 seconds for SGLang, a 22.2× speedup, but uses a changed pipeline rather than an identical 49-step H3 trajectory.
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