Instructions to use kernels-community/triton-layer-norm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use kernels-community/triton-layer-norm with Kernels:
# !pip install kernels from kernels import get_kernel # a version (or an explicit revision) is required; see the "Files and versions" tab for the available ones kernel = get_kernel("kernels-community/triton-layer-norm", version=1) - Notebooks
- Google Colab
- Kaggle
Commit History
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Add model repository removal notice
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Update tag
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Build
229047c -
Sync with upstream, add tests
bbbdefe
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Generate README
9b61b27 -
Update build
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Update flake
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Update build.toml
042f669 -
Add top-level `layer_norm` wrapper with docs
80b5db1
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fix: adjust typo
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feat: add tag for hfjob build
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Make `RMSNorm` layer pure, rename to `LlamaRMSNorm`
4a07eb0
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feat: update to include rev in kernel for reproducible symbols
drbh1e347f0
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Build
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black
15057d1 -
Use `torch.amp` rather than deprecated `torch.cuda.amp`
02598b2 -
Move `RMSNorm` to `layers`
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Build
5fdbebc -
Add Triton-based layer norm from flash-attention
0f75957