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---
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license: mit
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---
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Hello, this is TimeCapsule V0.5
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This is a language model trained entirely on texts from 1800-1875 London. The goal is to eliminate modern bias, right now this model is trained on roughly 435MB but I hope to continue expanding the dataset.
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## How to run this model?
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First download the hugface folder, inside you'll find everything you need
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Disclaimer: Most of the python files in this folder are from nanoGPT by Andrej Karpathy, some of them are slightly modified.
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If you plan on training your own model please visit: https://github.com/karpathy/nanoGPT
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## Step 1: Download the repository
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Download the repo or clone it up to you
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sample.py
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ckpt.pt
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config.json
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meta.pkl
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tokenizer_london/vocab.json
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tokenizer_london/merges.txt
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model.py
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configurator.py
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# Step 2: Make sure you have requirements installed
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Make sure you have this installed: pip install tokenizers torch
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## Step 3: Run the model
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python3 sample.py --out_dir=. --start="Put prompt here!"
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## Optional control settings
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Go to sample.py and change the command line arguments to control generation settings
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For more info on this project go to my github: https://github.com/haykgrigo3/TimeCapsuleLLM/blob/main/README.md
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