Instructions to use moonbox-dev/hyperflow-h3-flash-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use moonbox-dev/hyperflow-h3-flash-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download moonbox-dev/hyperflow-h3-flash-MLX --local-dir hyperflow-h3-flash-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 1,452 Bytes
d0016e2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | MiniMax H3 is licensed under the MiniMax H3 Community License Agreement, Copyright © 2026 MiniMax. All Rights Reserved.
The HyperFlow H3 Flash weights in this repository are a Model Derivative of MiniMax-H3
(https://huggingface.co/MiniMaxAI/MiniMax-H3) as defined in Section I.11 of that Agreement. Video Rebirth created these
weights (Copyright 2026 Video Rebirth) and distributes them under the same MiniMax H3 Community License Agreement. A
copy of the Agreement is included in this repository as LICENSE.
Modifications from MiniMax H3 (Section III.2):
- fl2va_int8_convrot/ and ref2va_int8_convrot/: The transformer weights are pruned, low-rank factored, and quantized to
rotated W8A8 INT8.
- fl2va_gguf/ and ref2va_gguf/: The compressed transformer weights are converted to the stable-diffusion.cpp tensor
layout and quantized to GGUF.
- fl2va_int8_convrot_comfyui/ and ref2va_int8_convrot_comfyui/: The INT8 convrot transformers are converted to the
ComfyUI tensor layout. The INT8 codes and scales are unchanged.
- hyperflow_h3_flash_transformer.py: Modified from the diffusers MiniMax-H3 transformer (paired with
hyperflow_h3_flash_int8.py for rotated INT8 linear layers).
- The upstream text encoder, VAEs, tokenizer, and processor are not redistributed here and remain the official
MiniMax-H3 files.
HyperFlow H3 Flash is not an official MiniMax product and is not affiliated with or endorsed by MiniMax.
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