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Intel AI

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Published tasks: Text to video.

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Models

Model · Text to video

MiniMax-H3-MXFP8-CT-AutoRound

Intel AI

An MXFP8 (OCP microscaling FP8) weight-quantized build of MiniMaxAI/MiniMax-H3 — the omni-modal (video + native stereo audio) generative DiT — produced with both diffusion transformers and the Qwen3-VL text encoder are quantized to MXFP8. (The companion repo MiniMax-H3-mxfp8-native quantizes only the two DiTs and keeps the text encoder in BF16 — see "Relationship to the other variants".) The large AdaLN branch of each DiT is deliberately kept in BF16. - Each DiT ~62 GB (bf16) → ~43.65 GB (≈0.71×, −29 %); AdaLN (≈13 B params/DiT) stays BF16. - Text encoder (Qwen3-VL, 64 decoder layers) ~63 GB (bf16) → ~34 GB (≈0.54×, −46 %): the model.languagemodel.layers linears are MXFP8 (448 × F8E4M3 +…

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