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gpt-oss-metal-kernels
kernels-community/gpt-oss-metal-kernels
gpt-oss-metal-kernels is a machine learning model from kernels-community. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for kernels. The card lists the license as mit.
[!CAUTION] Starting from September 13, 2026, we will be removing the "model" type repositories of kernels (e.g., kernels-community/flash-attn3). Make sure you're using a latest version of kernels. If you face any disr…
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.so2.1 MB · 82%
At a glance
- Library
- kernels
- License
- mit
- Access
- Public
- Created
- Oct 30, 2025
- Updated
- Sep 1, 2026
- SHA
- 9e86c1c0
Model card
From the Hugging Face model README
[!CAUTION] Starting from September 13, 2026, we will be removing the "model" type repositories of kernels (e.g., kernels-community/flash-attn3). Make sure you're using a latest version of kernels. If you face any disruption, please report them here: https://github.com/huggingface/kernels/issues/new.
This is the repository card of kernels-community/gpt-oss-metal-kernels that has been pushed on the Hub. It was built to be used with the kernels library. This card was automatically generated.
How to use
# make sure `kernels` is installed: `pip install -U kernels`
from kernels import get_kernel
kernel_module = get_kernel("kernels-community/gpt-oss-metal-kernels")
f32_bf16w_matmul = kernel_module.f32_bf16w_matmul
f32_bf16w_matmul(...)
Available functions
f32_bf16w_matmulbf16_f32_embeddingsf32_bf16w_rmsnormf32_bf16w_dense_matmul_qkvf32_bf16w_dense_matmul_attn_outputf32_bf16w_dense_matmul_mlp_gatef32_ropef32_bf16w_matmul_qkvf32_sdpaf32_topkexpert_routing_metadataf32_scatterf32_bf16w_matmul_add
Benchmarks
No benchmark available yet.
- Library
- kernels
- License
- mit
- Created
- Oct 30, 2025
- Updated
- Sep 1, 2026