I used this this implementation:
https://github.com/jcjohnson/torch-rnn

and these install instructions:
http://www.jeffreythompson.org/blog/2016/03/25/torch-rnn-mac-install/

to preprocess your training text (FILENAME):
python scripts/preprocess.py --input_txt data/FILENAME.txt --output_h5 data/FILENAME.h5 --output_json data/FILENAME.json

to train it on a machine without a graphics card:
time th FILENAME.lua -input_h5 data/FILENAME.h5 -input_json data/FILENAME.json -batch_size 1 -seq_length 50 -gpu -1

to generate text, find the highest-numbered checkpoint in the cv directiory and replace CHECKPOINT with it here:
th sample.lua -checkpoint cv/CHECKPOINT -length 2000 -gpu -1





Below is sample output from the algorithm trained to 50 epochs on all content from the pads:



[house@Granu]:~/torch/torch-rnn$ th sample.lua -checkpoint cv/checkpoint_324150.t7 -length 10000 -gpu -1
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[house@Granu]:~/torch/torch-rnn$ th sample.lua -checkpoint cv/checkpoint_324150.t7 -length 10000 -gpu -1
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