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CogVideoX runs a text-to-video model locally, with code and 2B weights under Apache 2.0
CogVideoX is the open-source counterpart of the model behind QingYing. Five checkpoints span 720 by 480 to 1360 by 768, memory needs fall from 18GB to 3.6GB with INT8, and the 2B weights share the code's Apache 2.0 licence.
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Wan walks from an 8.19 GB video model to a 27B dual-expert MoE, all in the open
Two experts of about 14B each add up to 27B, yet only one fires per step, so the cost stays near a single-expert model. A separate 5B branch keeps 720P at 24fps inside a single consumer card, and compression in the VAE is what buys the room.
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