Tiktoken is BPE tokenizer from OpenAI used with their GPT models. This is a wrapper around it aimed primarily at enabling accurate counts of GPT model tokens used.
I can't really put substantial time into maintaining this. Probably nothing more than a couple hours every few months. If you have experience maintaining ruby gems and would like to lend a hand please send me an email or reply to this issue
Install the gem and add to the application's Gemfile by executing:
$ bundle add tiktoken_ruby
If bundler is not being used to manage dependencies, install the gem by executing:
$ gem install tiktoken_ruby
Usage should be very similar to the python library. Here's a simple example
Encode and decode text
require 'tiktoken_ruby'
enc = Tiktoken.get_encoding("cl100k_base")
enc.decode(enc.encode("hello world")) #=> "hello world"Encoders can also be retrieved by model name
require 'tiktoken_ruby'
enc = Tiktoken.encoding_for_model("gpt-4")
enc.encode("hello world").length #=> 2After checking out the repo, run bin/setup to install dependencies. Then, run rake spec to run the tests. You can also run bin/console for an interactive prompt that will allow you to experiment.
To install this gem onto your local machine, run bundle exec rake install. To release a new version, update the version number in version.rb, and then run bundle exec rake release, which will create a git tag for the version, push git commits and the created tag, and push the .gem file to rubygems.org.
Bug reports and pull requests are welcome on GitHub at https://github.com/iapark/tiktoken_ruby.
To get started with development:
git clone https://github.com/IAPark/tiktoken_ruby.git
cd tiktoken_ruby
bundle install
bundle exec rake compile
bundle exec rake specThe gem is available as open source under the terms of the MIT License.