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corechan
/
MiniMax-H3_nvfp4

Text Generation
Diffusers
text-to-video
video-generation
quantized
nvfp4
bitsandbytes
Model card Files Files and versions
xet
Community

Instructions to use corechan/MiniMax-H3_nvfp4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use corechan/MiniMax-H3_nvfp4 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("corechan/MiniMax-H3_nvfp4", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Hi, what can you help me with?"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
MiniMax-H3_nvfp4 / quantized /transformer_ref-nvfp4
19.9 GB
Ctrl+K
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  • 1 contributor
History: 1 commit
corechan's picture
corechan
quantized transformer_ref (nvfp4) from memory
950bb53 verified about 1 month ago
  • .complete
    96 Bytes
    quantized transformer_ref (nvfp4) from memory about 1 month ago
  • config.json
    1.46 kB
    quantized transformer_ref (nvfp4) from memory about 1 month ago
  • diffusion_pytorch_model-00001-of-00003.bin
    9.87 GB
    xet
    quantized transformer_ref (nvfp4) from memory about 1 month ago
  • diffusion_pytorch_model-00002-of-00003.bin
    9.96 GB
    xet
    quantized transformer_ref (nvfp4) from memory about 1 month ago
  • diffusion_pytorch_model-00003-of-00003.bin
    60.6 MB
    xet
    quantized transformer_ref (nvfp4) from memory about 1 month ago
  • diffusion_pytorch_model.bin.index.json
    59.4 kB
    quantized transformer_ref (nvfp4) from memory about 1 month ago