TokenMonster Ungreedy Subword Tokenizer V4: Enables Models to be 4x Smaller and Whilst Achieving Higher Chr/Token (With Evidence) [P]

[GitHub](https://github.com/alasdairforsythe/tokenmonster) | [Interactive Benchmark](https://bot.co/tokenmonster/benchmark.html) | [Live Tokenizer](https://bot.co/tokenmonster)

TokenMonster is an ungreedy subword tokenizer and vocabulary trainer for Python, Go & Javascript. You can use one of my pretrained vocabularies or generate your own with the included tools.

TokenMonster can tokenize text more efficiently than other tokenization methods, even when using a much smaller vocabulary. Here is a size 24000 TokenMonster vocabulary benchmarked against tiktoken cl100k\_base (100256) and LLaMa (32000) ([link to interactive benchmark](https://bot.co/tokenmonster/benchmark.html?a=tiktoken%20cl100k_base&b=llama%20tokenmonster&c=englishcode-24000-unfiltered-v1)):

https://preview.redd.it/o16a9tbrurbb1.png?width=1506&format=png&auto=webp&s=66c11d2b8defd634c86756064125b70e8e5cb6d6

Unlike previously versions of TokenMonster, the …

javascript machinelearning python text token tokens tools trainer words