Kernels:

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MiniMaxAI

/

msa

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MiniMax 10.8k

This is the repository card of kernels-community/msa 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/msa", version=0)
sparse_atten_func = kernel_module.sparse_atten_func

sparse_atten_func(...)

Available functions

• sparse_atten_func
• sparse_atten_nvfp4_kv_func
• sparse_decode_atten_func
• SparseDecodePagedAttentionWrapper
• fp4_indexer_block_scores
• build_k2q_csr
• SparseK2qCsrBuilderSm100
• Nvfp4QuantizedTensor
• quantize_bf16_to_nvfp4_128x4
• quantize_kv_bf16_to_nvfp4_128x4
• dequantize_nvfp4_128x4_to_bf16
• swizzle_nvfp4_scale_to_128x4
• nvfp4_global_scale_from_amax

Benchmarks

No benchmark available yet.

Source code

Source code of this kernel originally comes from https://github.com/MiniMax-AI/MSA and it was repurposed for compatibility with kernels.