LLMSharp.Anthropic.Tokenizer 2.0.2

LLMSharp Tokenizers

• LLMSharp.Anthropic.Tokenizer : Unofficial implementation of tokenizer for Anthropic claude in dotnet. Install this nuget package for Encoding using Claude Tokenizer.
• LLMSharp.OpenAi.Tokenizer : Unofficial implementation of tokenizer for GPT-3.5/GPT-4 models in dotnet. Install this nuget package for Encoding using GPT Chat Completions Model Tokenizer.

Usage

• Install the latest version of nuget package

dotnet add package LLMSharp.Anthropic.Tokenizer

dotnet add package LLMSharp.OpenAi.Tokenizer

• Create an instance of the tokenizer

// Claude Tokenizer
using LLMSharp.Anthropic.Tokenizer;

var tokenizer = new ClaudeTokenizer();


// OpenAi ChatCompletion Models Tokenizer
using LLMSharp.OpenAi.Tokenizer;

var tokenizer = new OpenAiChatCompletionsTokenizer();

• Encode : tokenizes a given text, this is the default implementation that throws an exception if the text contains any special tokens

var encodedTokens = tokenizer.Encode("hello world");

• CountTokens : count tokens in a given text, this is the default implementation that throws an exception if the text contains any special tokens

var tokenCount = tokenizer.CountTokens("hello world");

• EncodeWithSpecialTokens : tokenizes a given text, including all or specific special tokens

// passing 'null' for allowedSpecial , will help tokenize all special tokens
var encodedBytes = tokenizer.EncodeWithSpecialTokens(
    text:"<META_START>some data<META_END>",
    allowedSpecial: null,
    disallowedSpecial: null);


// passing an array of strings for allowedSpecial , will help tokenize only those special tokens
// any other special tokens found in the text will throw an exception
var encodedBytes = tokenizer.EncodeWithSpecialTokens(
    text:"<META_START>some data<META_END>",
    allowedSpecial: new string[]{"<META_START>", "<META_END>"},
    disallowedSpecial: null);

• CountWithSpecialTokens : count tokens in a given text, including all or specific special tokens

var tokenCount = tokenizer.CountWithSpecialTokens(
    text:"<META_START>some data<META_END>",
    allowedSpecial: new string[]{"<META_START>", "<META_END>"},
    disallowedSpecial: null);

Benchmarks

Encoding and CountTokens for 4200 tokens (~16 KB) of text

Linux

BenchmarkDotNet v0.13.7, Ubuntu 22.04.3 LTS (Jammy Jellyfish)
Intel Xeon Platinum 8370C CPU 2.80GHz, 1 CPU, 1 logical core and 1 physical core
.NET SDK 7.0.110
  [Host]   : .NET 7.0.10 (7.0.1023.36801), X64 RyuJIT AVX2
  .NET 6.0 : .NET 6.0.21 (6.0.2123.36801), X64 RyuJIT AVX2
  .NET 7.0 : .NET 7.0.10 (7.0.1023.36801), X64 RyuJIT AVX2

macOS

BenchmarkDotNet v0.13.7, macOS Ventura 13.4.1 (c) (22F770820d) [Darwin 22.5.0]
Apple M2, 1 CPU, 8 logical and 8 physical cores
.NET SDK 7.0.304
  [Host]   : .NET 7.0.7 (7.0.723.27404), Arm64 RyuJIT AdvSIMD
  .NET 6.0 : .NET 6.0.21 (6.0.2123.36311), Arm64 RyuJIT AdvSIMD
  .NET 7.0 : .NET 7.0.7 (7.0.723.27404), Arm64 RyuJIT AdvSIMD

Windows

BenchmarkDotNet v0.13.7, Windows 11 (10.0.22621.2134/22H2/2022Update/SunValley2)
Intel Core i7-9700K CPU 3.60GHz (Coffee Lake), 1 CPU, 8 logical and 8 physical cores
.NET SDK 7.0.400
  [Host]   : .NET 7.0.10 (7.0.1023.36312), X64 RyuJIT AVX2
  .NET 6.0 : .NET 6.0.21 (6.0.2123.36311), X64 RyuJIT AVX2
  .NET 7.0 : .NET 7.0.10 (7.0.1023.36312), X64 RyuJIT AVX2