Instructions to use corechan/MiniMax-H3_NF4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use corechan/MiniMax-H3_NF4 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_NF4", dtype=torch.bfloat16, device_map="cuda") prompt = "Hi, what can you help me with?" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download quantized/text_encoder-int8/pytorch_model.bin from corechan/MiniMax-H3_NF4: direct link, hf CLI and curl.
- Browser
- Download file 27.6 GB
-
https://huggingface.co/corechan/MiniMax-H3_NF4/resolve/main/quantized/text_encoder-int8/pytorch_model.bin
- Command line
-
hf download hf://corechan/MiniMax-H3_NF4/quantized/text_encoder-int8/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/corechan/MiniMax-H3_NF4/resolve/main/quantized/text_encoder-int8/pytorch_model.bin
27.6 GB
- Xet hash:
- 77a4dcabf329ae627cc1b65445ddce8f143316170c45eff296d3749b85770d79
- Size of remote file:
- 27.6 GB
- SHA256:
- 1131b16dac6c4e04fc87144081eb812bd6c77eace06c6413bf303a05885068e7
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