alibaba-pai/MiniMax-H3-Acc-LoRAs
text-to-video model by alibaba-pai
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Model card & documentation
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We apply Parallel Decoding Distillation (PDD) 1 to MiniMax-H3, enabling efficient video generation in only a few inference steps. For more details, please refer to our GitHub repo. Set modelpath and pddlorapath to the MiniMax-H3 model and the matching acceleration LoRA checkpoint in predictt2v.py for FL2VA or predictref2v.py for Ref2VA, then run the corresponding…
Read the full model card ↗ · Preview checked 2026-10-28T02:50:55.647Z
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Model overview
alibaba-pai/MiniMax-H3-Acc-LoRAs is a text-to-video model repository published by alibaba-pai on Hugging Face. The source reports the videox_fun library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-to-video
- Library
- videox_fun
- Recent downloads (30 days)
- 50,829
- Cumulative likes
- 278
- Hugging Face trending score
- 3
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-08-26T03:48:27.000Z
- Last modified
- 2026-08-27T06:13:51.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: alibaba-pai/MiniMax-H3-Acc-LoRAs, MiniMaxAI/MiniMax-H3
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:32.159Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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