MODEL PROFILE

pdmd_2NFE_lora

pdmd2026 · pdmd_2NFE_lora

This repository holds the **LoRA adapter** of a 2-step (2 NFE) student distilled from MiniMax-H3 with **Projected Distribution Matching Distillation (PDMD)**. PDMD projects the DMD update onto the subspace orthogonal to the student–critic endpoint residual; it is a one-line change to DMD with no auxiliary loss, extra network, extra model pass, or extra training stage. The adapter is applied to the transformer (`MiniMaxH3Transformer3DModel`) of the base model. Every other component (VAE, audio VAE, schedulers, text encoder, processor) is unchanged and comes from the base model. Tensor keys have the form `transformer. .lora_A.weight` / `transformer. .lora_B.weight`, where ` .weight` is the corresponding parameter of `MiniMaxH3Transformer3DModel`. Fusing rule (also stored in the safetensors metadata):

Video generationlicense:apache-2.0
Context windowNot disclosed
Input → OutputText → Video
Model weightsNot verified
Profile updated2026/11/2 19:15:48
OVERVIEW

Model overview

This repository holds the **LoRA adapter** of a 2-step (2 NFE) student distilled from MiniMax-H3 with **Projected Distribution Matching Distillation (PDMD)**. PDMD projects the DMD update onto the subspace orthogonal to the student–critic endpoint residual; it is a one-line change to DMD with no auxiliary loss, extra network, extra model pass, or extra training stage. The adapter is applied to the transformer (`MiniMaxH3Transformer3DModel`) of the base model. Every other component (VAE, audio VAE, schedulers, text encoder, processor) is unchanged and comes from the base model. Tensor keys have the form `transformer. .lora_A.weight` / `transformer. .lora_B.weight`, where ` .weight` is the corresponding parameter of `MiniMaxH3Transformer3DModel`. Fusing rule (also stored in the safetensors metadata):

Key features

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Limitations & considerations

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PRICING & COST

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

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Frequently asked questions

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Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。