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Serpent-SSM is a production-ready implementation of Selective State Space Models, offering linear-time sequence modeling with constant memory usage. Built for long-context understanding, real-time processing, and efficient inference. Includes full PyTorch code, training examples, benchmarks, and CUDA kernels.