Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

corechan
/
MiniMax_H3_Torchao018

Text-to-Video
Diffusers
Safetensors
MiniMax H3
video-generation
quantized
torchao
nvfp4
int8
nf4
bitsandbytes
Model card Files Files and versions
xet
Community

Instructions to use corechan/MiniMax_H3_Torchao018 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use corechan/MiniMax_H3_Torchao018 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_Torchao018", 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
MiniMax_H3_Torchao018 / quantized /text_encoder-llm-tail
12.7 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
corechan's picture
corechan
Mark text_encoder-llm-tail complete
e65e83c verified 6 days ago
  • .complete
    112 Bytes
    Mark text_encoder-llm-tail complete 6 days ago
  • tail_int8.safetensors
    7.9 GB
    xet
    Add text_encoder LLM tail (int8, layers 51-63 + bf16 lm_head) for the prompt assistant 6 days ago
  • tail_nf4.safetensors
    4.83 GB
    xet
    Add text_encoder LLM tail (nf4, layers 51-63 + bf16 lm_head) for the prompt assistant 6 days ago