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WEO-SAS/mamba-ssm
mamba-ssm is a machine learning model from WEO-SAS. 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 apache-2.0.
This is a compiled CUDA kernel package, not a model. It provides the Mamba selective-scan operation (selectivescanfn, Mamba, Mamba2, etc.) for use with the Hugging Face kernels library. WEO-SAS built it to support the…
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Updated Jul 24, 2026
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From the Hugging Face model README
This is a compiled CUDA kernel package, not a model. It provides the Mamba selective-scan operation (selective_scan_fn, Mamba, Mamba2, etc.) for use with the Hugging Face kernels library. WEO-SAS built it to support the mamba-* variants of sen2sr, which need a compiled selective-scan kernel for their Mamba/Swin2SR backbone. This is an internal/experimental build — it has not been validated for production use.
This is the repository card of kernels-community/mamba-ssm that has been pushed on the Hub. It was built to be used with the kernels library. This card was automatically generated.
# make sure `kernels` is installed: `pip install -U kernels`
from kernels import get_kernel
kernel_module = get_kernel("WEO-SAS/mamba-ssm")
selective_scan_fn = kernel_module.selective_scan_fn
selective_scan_fn(...)
selective_scan_fnmamba_inner_fnfalcon_mamba_inner_fnselective_state_updatemamba_chunk_scan_combinedmamba_split_conv1d_scan_combinedMambaMamba2MambaLMHeadModelNo benchmark available yet.