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tiktoken: Haskell implementation of tiktoken

[ bsd3, library, unclassified ] [ Propose Tags ]

This packages only implements tokenization. In other words, given an existing encoding (cl100k_base) you can tokenize an input.

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Versions [RSS] 1.0.0, 1.0.1, 1.0.2, 1.0.3
Change log CHANGELOG.md
Dependencies base (>=4.18.0.0 && <5), base64 (>=1.0 && <1.1), bytestring (>=0.11.3.0), containers (>=0.5.0.0), deepseq (>=1.4.0.0), filepath, megaparsec (<9.7), pcre-light (>=0.2), raw-strings-qq, text, transformers (>=0.2.0.0), unordered-containers, vector (<0.14) [details]
License BSD-3-Clause
Author Gabriella Gonzalez
Maintainer GenuineGabriella@gmail.com
Uploaded by GabrielGonzalez at 2024-08-31T19:05:00Z
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Downloads 91 total (24 in the last 30 days)
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Status Docs available [build log]
All reported builds failed as of 2024-08-31 [all 1 reports]

Readme for tiktoken-1.0.0

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tiktoken

This is a Haskell implementation of tiktoken, but just the tokenization logic. In other words, given an existing encoding (like cl100k_base) you can tokenize a string (into smaller strings or token ranks).

This means that you can't (yet) use this package to create your own new encodings, but you can use it to consume encodings. In particular, this comes in handy for prompt engineering where you want to use as much of the available prompt tokens as possible (which requires accurately counting tokens).

Encoding speed is ≈2.6-3.1 MB/s on an M1 MacBook Pro (using only one core since this package does not yet support parallel tokenization):

All
  Encode 10 MB of Wikipedia
    r50k_base:   OK (23.88s)
      3.356 s ± 151 ms
    p50k_base:   OK (10.39s)
      3.445 s ±  31 ms
    p50k_edit:   OK (11.13s)
      3.693 s ± 240 ms
    cl100k_base: OK (11.16s)
      3.685 s ± 143 ms
    o200k_base:  OK (11.01s)
      3.648 s ± 134 ms