Tiktoken.Encodings.Abstractions 2.2.0

.NET 8.0 This package targets .NET 8.0. The package is compatible with this framework or higher. .NET Standard 2.0 This package targets .NET Standard 2.0. The package is compatible with this framework or higher. .NET Framework 4.6.2 This package targets .NET Framework 4.6.2. The package is compatible with this framework or higher. 
dotnet add package Tiktoken.Encodings.Abstractions --version 2.2.0                

                    
                

            
NuGet\Install-Package Tiktoken.Encodings.Abstractions -Version 2.2.0
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package. 
<PackageReference Include="Tiktoken.Encodings.Abstractions" Version="2.2.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add Tiktoken.Encodings.Abstractions --version 2.2.0                

                    
                

            
#r "nuget: Tiktoken.Encodings.Abstractions, 2.2.0"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package. 
// Install Tiktoken.Encodings.Abstractions as a Cake Addin
#addin nuget:?package=Tiktoken.Encodings.Abstractions&version=2.2.0

// Install Tiktoken.Encodings.Abstractions as a Cake Tool
#tool nuget:?package=Tiktoken.Encodings.Abstractions&version=2.2.0

Tiktoken

Nuget package dotnet License: MIT Discord

This implementation aims for maximum performance, especially in the token count operation.
There's also a benchmark console app here for easy tracking of this.
We will be happy to accept any PR.

Implemented encodings

  • o200k_base
  • cl100k_base
  • r50k_base
  • p50k_base
  • p50k_edit

Usage

using Tiktoken;

var encoder = ModelToEncoder.For("gpt-4o"); // or explicitly using new Encoder(new O200KBase())
var tokens = encoder.Encode("hello world"); // [15339, 1917]
var text = encoder.Decode(tokens); // hello world
var numberOfTokens = encoder.CountTokens(text); // 2
var stringTokens = encoder.Explore(text); // ["hello", " world"]

Benchmarks

You can view the reports for each version here


BenchmarkDotNet v0.14.0, macOS Sequoia 15.1 (24B83) [Darwin 24.1.0]
Apple M1 Pro, 1 CPU, 10 logical and 10 physical cores
.NET SDK 9.0.100
  [Host]     : .NET 9.0.0 (9.0.24.52809), Arm64 RyuJIT AdvSIMD
  DefaultJob : .NET 9.0.0 (9.0.24.52809), Arm64 RyuJIT AdvSIMD
Method Categories Data Mean Ratio Gen0 Gen1 Allocated Alloc Ratio
SharpTokenV2_0_3_ CountTokens 1. (...)57. [19866] 567,130.0 ns 1.00 2.9297 - 20115 B 1.00
TiktokenSharpV1_1_5_ CountTokens 1. (...)57. [19866] 483,976.7 ns 0.85 64.4531 5.8594 404648 B 20.12
MicrosoftMLTokenizerV1_0_0_ CountTokens 1. (...)57. [19866] 427,733.2 ns 0.75 - - 297 B 0.01
TokenizerLibV1_3_3_ CountTokens 1. (...)57. [19866] 773,467.5 ns 1.36 246.0938 83.9844 1547675 B 76.94
Tiktoken_ CountTokens 1. (...)57. [19866] 271,564.3 ns 0.48 23.4375 - 148313 B 7.37
SharpTokenV2_0_3_ CountTokens Hello, World! 380.0 ns 1.00 0.0405 - 256 B 1.00
TiktokenSharpV1_1_5_ CountTokens Hello, World! 263.8 ns 0.69 0.0505 - 320 B 1.25
MicrosoftMLTokenizerV1_0_0_ CountTokens Hello, World! 305.7 ns 0.80 0.0153 - 96 B 0.38
TokenizerLibV1_3_3_ CountTokens Hello, World! 509.6 ns 1.34 0.2356 0.0010 1480 B 5.78
Tiktoken_ CountTokens Hello, World! 175.7 ns 0.46 0.0191 - 120 B 0.47
SharpTokenV2_0_3_ CountTokens King(...)edy. [275] 5,990.7 ns 1.00 0.0763 - 520 B 1.00
TiktokenSharpV1_1_5_ CountTokens King(...)edy. [275] 4,516.5 ns 0.75 0.8011 - 5064 B 9.74
MicrosoftMLTokenizerV1_0_0_ CountTokens King(...)edy. [275] 3,871.2 ns 0.65 0.0153 - 96 B 0.18
TokenizerLibV1_3_3_ CountTokens King(...)edy. [275] 7,465.8 ns 1.25 3.0823 0.1373 19344 B 37.20
Tiktoken_ CountTokens King(...)edy. [275] 2,744.5 ns 0.46 0.3128 - 1976 B 3.80
SharpTokenV2_0_3_Encode Encode 1. (...)57. [19866] 568,150.3 ns 1.00 2.9297 - 20115 B 1.00
TiktokenSharpV1_1_5_Encode Encode 1. (...)57. [19866] 444,972.1 ns 0.78 64.4531 5.8594 404649 B 20.12
MicrosoftMLTokenizerV1_0_0_Encode Encode 1. (...)57. [19866] 410,970.9 ns 0.72 10.2539 0.4883 66137 B 3.29
TokenizerLibV1_3_3_Encode Encode 1. (...)57. [19866] 770,068.9 ns 1.36 246.0938 90.8203 1547675 B 76.94
Tiktoken_Encode Encode 1. (...)57. [19866] 290,030.9 ns 0.51 33.6914 1.4648 214465 B 10.66
SharpTokenV2_0_3_Encode Encode Hello, World! 381.2 ns 1.00 0.0405 - 256 B 1.00
TiktokenSharpV1_1_5_Encode Encode Hello, World! 260.2 ns 0.68 0.0505 - 320 B 1.25
MicrosoftMLTokenizerV1_0_0_Encode Encode Hello, World! 325.1 ns 0.85 0.0267 - 168 B 0.66
TokenizerLibV1_3_3_Encode Encode Hello, World! 511.6 ns 1.34 0.2356 - 1480 B 5.78
Tiktoken_Encode Encode Hello, World! 241.4 ns 0.63 0.0801 - 504 B 1.97
SharpTokenV2_0_3_Encode Encode King(...)edy. [275] 5,957.3 ns 1.00 0.0763 - 520 B 1.00
TiktokenSharpV1_1_5_Encode Encode King(...)edy. [275] 4,523.8 ns 0.76 0.8011 - 5064 B 9.74
MicrosoftMLTokenizerV1_0_0_Encode Encode King(...)edy. [275] 4,069.8 ns 0.68 0.1144 - 744 B 1.43
TokenizerLibV1_3_3_Encode Encode King(...)edy. [275] 7,207.8 ns 1.21 3.0823 0.1373 19344 B 37.20
Tiktoken_Encode Encode King(...)edy. [275] 2,945.7 ns 0.49 0.4654 - 2936 B 5.65

Support

Priority place for bugs: https://github.com/tryAGI/LangChain/issues
Priority place for ideas and general questions: https://github.com/tryAGI/LangChain/discussions
Discord: https://discord.gg/Ca2xhfBf3v

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 is compatible.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed.  net9.0 is compatible. 
.NET Core netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 is compatible.  netstandard2.1 is compatible. 
.NET Framework net461 was computed.  net462 is compatible.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen40 was computed.  tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

  • .NETFramework 4.6.2

    • No dependencies.

  • .NETStandard 2.0

    • No dependencies.

  • .NETStandard 2.1

    • No dependencies.

  • net8.0

    • No dependencies.

  • net9.0

    • No dependencies.

NuGet packages (5)

Showing the top 5 NuGet packages that depend on Tiktoken.Encodings.Abstractions:

Package Downloads
Tiktoken.Encodings.o200k

The fastest tokenizer for GPT-3.5 and GPT-4 inspired by Tiktoken.
Tiktoken.Core

The fastest tokenizer for GPT-3.5 and GPT-4 inspired by Tiktoken.
Tiktoken.Encodings.cl100k

The fastest tokenizer for GPT-3.5 and GPT-4 inspired by Tiktoken.
Tiktoken.Encodings.r50k

The fastest tokenizer for GPT-3.5 and GPT-4 inspired by Tiktoken.
Tiktoken.Encodings.p50k

The fastest tokenizer for GPT-3.5 and GPT-4 inspired by Tiktoken.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
2.2.0 1,486 11/15/2024
2.1.1 1,079 11/9/2024
2.1.0 368 11/9/2024
2.0.3 87,658 7/10/2024
2.0.2 26,395 5/19/2024
2.0.1 311 5/18/2024
2.0.0 1,766 5/15/2024