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h100-fp8-wheels
afridi26/h100-fp8-wheels
h100-fp8-wheels is a machine learning model from afridi26. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
Compiled CUDA extensions. ONLY valid for this exact stack:
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Updated Aug 5, 2026
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1.2 GB
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.whl1.2 GB · 100%
At a glance
- License
- other
- Access
- Public
- Created
- Aug 4, 2026
- Updated
- Aug 5, 2026
- SHA
- c62687f4
Model card
From the Hugging Face model README
Prebuilt FA3 + TransformerEngine wheels (H100)
Compiled CUDA extensions. ONLY valid for this exact stack:
| Python | 3.10 |
| torch | 2.6.0 |
| CUDA | 12.8 |
| arch | sm90 (H100 80GB HBM3) |
On a mismatch you get an import error or, worse, silent misbehaviour. torch version is the binding constraint: flash_attn_3 is tagged abi3 so it tolerates newer Pythons, but it is still linked against torch 2.6.0 C++ ABI. transformer_engine is cp310-locked.
- flash_attn_3-3.0.0 from Dao-AILab/flash-attention @ df61ab6, hopper/ subdir (BSD-3)
- transformer_engine-2.17.0+b82e7442 from NVIDIA/TransformerEngine @ b82e7442, stable branch (Apache-2.0), built with NVTE_WITH_NCCL_EP=0 and CMAKE_BUILD_WITH_INSTALL_RPATH=ON
Consumed automatically by Bria-AI/bria-video-eraser branch ali/fp8 via setup_h100.sh, which discovers these filenames from the HF API. Saves ~45 min of compiling per fresh box (flash-attn-3 alone is ~30 min).
- License
- other
- Created
- Aug 4, 2026
- Updated
- Aug 5, 2026