Instructions to use lightweight/MiniMax-H3-Pruned-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lightweight/MiniMax-H3-Pruned-full with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lightweight/MiniMax-H3-Pruned-full", dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
MiniMax-H3-Pruned-full (self-contained mirror)
A self-contained re-packaging of the pruned MiniMax H3 checkpoint published by multimodalart, with the components that
the pruned index borrows from the base release copied in, so that one repository holds everything the diffusers modular
pipeline needs. This exists because some serving platforms mount exactly one Hugging Face repository per endpoint.
| Component | Source | Pinned commit |
|---|---|---|
text_encoder (Qwen3-VL, 51 layers), transformer, transformer_ref, remote code modeling_minimax_h3_pruned.py |
multimodalart/MiniMax-H3-Pruned |
1a0ef5e65b639e84af81d883817968532180e9c7 |
vae, audio_vae, tokenizer, processor, scheduler, audio_scheduler, LICENSE |
MiniMaxAI/MiniMax-H3 |
9ac0dd7aabc2c651fcf0ace4c00b2bffd9c8c8a6 |
modular_model_index.json is the upstream pruned index with every pretrained_model_name_or_path rewritten to
lightweight/MiniMax-H3-Pruned-full; no component resolves to another repository at load time. All weights are byte-identical to the sources.
Loading requires trust_remote_code=True (pruned transformer class). Upstream pruned model card: README_upstream_pruned.md.
License
Use is subject to the MiniMax H3 Community License Agreement (LICENSE), including its Acceptable Use Policy and its
territorial scope. Credit to MiniMax for the model and to multimodalart for the pruned checkpoint.
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Model tree for lightweight/MiniMax-H3-Pruned-full
Base model
MiniMaxAI/MiniMax-H3