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
- Google Colab
- Kaggle
Add H3 Veda T2VA and R2VA predictors in BF16 and INT8 ConvRot
Browse filesPrepared WanGP predictor modules for full and pruned H3 variants. BF16 weights preserve upstream dequantization; INT8 files use the shared ConvRot format. Source revisions and tile plans are retained in checkpoint metadata.
minimax_h3/minimax_h3_r2va_veda_predictor_bf16.safetensors
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version https://git-lfs.github.com/spec/v1
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size 551328056
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minimax_h3/minimax_h3_r2va_veda_predictor_int8_convrot.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:222be84ea4717959f88e7222cdba7e3ce4530e881a9bed0a44cdf7299cc1f924
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size 280726347
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minimax_h3/minimax_h3_t2va_veda_predictor_bf16.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:88bab248be01b706e09923075578b14feb817baccf50cf0114f016f97800715d
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size 551327960
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minimax_h3/minimax_h3_t2va_veda_predictor_int8_convrot.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:21600e9c9007409d55ca6e9f65e373d95f5113cbb3939560feaf1bef3c9b389c
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size 280726251
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