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yitongl
/
sparse_quant_exp

Diffusers
Safetensors
Model card Files Files and versions
xet
Community

Instructions to use yitongl/sparse_quant_exp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use yitongl/sparse_quant_exp with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("yitongl/sparse_quant_exp", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
sparse_quant_exp
16.6 GB
Ctrl+K
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  • 1 contributor
History: 13 commits

This model has 1 file scanned as unsafe.

yitongl's picture
yitongl
Upload 700-step sparse FP4 resume checkpoint
2e53641 verified 7 days ago
  • backend_snapshot
    Remove checkpoint-750 inference script 11 days ago
  • sfp4_v4_sparse09_hpo_on_ours_p_init2050_checkpoint_700
    Upload 700-step sparse FP4 resume checkpoint 7 days ago
  • standalone_inference
    Add standalone inference helper for sfp4 checkpoint-700 11 days ago
  • transformer
    Replace sfp4 checkpoint-750 with checkpoint-700 11 days ago
  • .gitattributes
    1.52 kB
    initial commit 16 days ago
  • README.md
    1.81 kB
    Document standalone inference helper 11 days ago
  • release_pack.tar.gz
    5.27 GB
    xet
    Update release_pack.tar.gz 16 days ago