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pararnn-torch


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Author: Daniil Sereda
License: MIT License Copyright (c) 2026 Daniil Sereda Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to dea...
Summary: Train nonlinear RNNs in parallel (Newton+scan); decode one step at a time.
Latest version: 0.17.4
Required dependencies: numpy | safetensors | torch | triton
Optional dependencies: datasets | flashrnn | mlflow | tokenizers | vllm

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