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weikaih/slat-vq-tokenizers-512
slat-vq-tokenizers-512 is a machine learning model from weikaih. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for trellis. The card lists the license as other.
Three frozen VQ tokenizers over TRELLIS.2 SLAT latents (Kyvo-style densify + 3D-conv + VQ), 512 codes/section. Used by weikaih/3d-vlm-stage1-v2.2. Load via torch.load(...) - ck['args'], ck['model'], ck['mean'], ck['st…
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Updated Jul 10, 2026
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From the Hugging Face model README
Three frozen VQ tokenizers over TRELLIS.2 SLAT latents (Kyvo-style densify + 3D-conv + VQ),
512 codes/section. Used by weikaih/3d-vlm-stage1-v2.2. Load via torch.load(...) -> ck['args'], ck['model'],
ck['mean'], ck['std']. Code: https://github.com/weikaih04/3d_vlm