Instructions to use woodfireind/MiniMax-H3-GGUF-MiniStack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use woodfireind/MiniMax-H3-GGUF-MiniStack with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("woodfireind/MiniMax-H3-GGUF-MiniStack", 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 GGUF MiniStack: pruned Q4 DiT + distilled 4B student TE (+adapter/tokenizer) + stock video VAE, audio VAE dropped
977f488 verified Download text_encoders/te_adapter_v1.safetensors from woodfireind/MiniMax-H3-GGUF-MiniStack: direct link, hf CLI and curl.
- Browser
- Download file 126 MB
-
https://huggingface.co/woodfireind/MiniMax-H3-GGUF-MiniStack/resolve/main/text_encoders/te_adapter_v1.safetensors
- Command line
-
hf download hf://woodfireind/MiniMax-H3-GGUF-MiniStack/text_encoders/te_adapter_v1.safetensors
-
curl -L -o te_adapter_v1.safetensors https://huggingface.co/woodfireind/MiniMax-H3-GGUF-MiniStack/resolve/main/text_encoders/te_adapter_v1.safetensors
126 MB
- Xet hash:
- b4c06440e820edea880a0b7bf50acb5f736610976eb67e29177efbddccf103f6
- Size of remote file:
- 126 MB
- SHA256:
- ef2060e1a277820416d895812dd580234d3c2760af8e6d203b38e3df2e0952b0
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