This repository implements multi-layer RNNs including LSTM and GRU variants for character-level language modeling in Lua/Torch. The model trains on a text file to predict the next character in a sequence, then generates new text by sampling character-by-character that resembles the training corpus. It supports GPU acceleration, mini-batches, and model checkpointing.