Instructions to use DeepBeepMeep/MiniMax-H3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use DeepBeepMeep/MiniMax-H3 with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
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HyperFlow H3 Flash: low-rank down factors quantized to INT8 ConvRot (smaller files, faster steps); NOTICE updated
d1c34b0 verified Download HyperFlow-H3-Flash-NOTICE from DeepBeepMeep/MiniMax-H3: direct link, hf CLI and curl.
- Browser
- Download file 2.11 kB
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https://huggingface.co/DeepBeepMeep/MiniMax-H3/resolve/main/HyperFlow-H3-Flash-NOTICE
- Command line
-
hf download hf://DeepBeepMeep/MiniMax-H3/HyperFlow-H3-Flash-NOTICE
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curl -L -o HyperFlow-H3-Flash-NOTICE https://huggingface.co/DeepBeepMeep/MiniMax-H3/resolve/main/HyperFlow-H3-Flash-NOTICE
2.11 kB
| 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. | |
| - 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. | |
| Powered by MiniMax H3. | |
| --- | |
| Repacked for WanGP (2026): MiniMax-H3-FL2VA-HyperFlow-Flash-14B_int8_convrot.safetensors and | |
| MiniMax-H3-Ref2VA-HyperFlow-Flash-14B_int8_convrot.safetensors are fl2va_int8_convrot/ and ref2va_int8_convrot/ of | |
| https://huggingface.co/VideoRebirthAI/hyperflow-h3-flash (revision 9e9ed14b8be4b751d7517b8ca58dd199d509720c), each merged into | |
| one file. Modifications: tensor keys renamed to WanGP's MiniMax H3 names; the two row halves of each feed-forward input | |
| projection swapped (gate | value order); the INT8 weights and their scales stored as WanGP INT8 ConvRot tensors; the RoPE | |
| frequency buffer added; the low-rank down factors, stored in BF16 upstream, quantized to INT8 ConvRot (per-row | |
| scales, Hadamard groups of 256). Other tensor values are unchanged. The Agreement mentioned above is included here as HyperFlow-H3-Flash-LICENSE. | |