MP-Sparse-Attn provides Triton kernels for Diagonal-Tiled Mixed-Precision Attention, targeting efficient low-bit MXFP inference for Transformer models. It combines tile-level mixed-precision computation and kernel fusion to accelerate attention on modern GPUs.

Rust-native single-binary MLX inference + conversion backend for Apple Silicon