The fastest tokenizer for GPT-3.5 and GPT-4 inspired by Tiktoken.
$ dotnet add package TiktokenDue to the lack of a C# version of cl100k_base encoding (gpt-3.5-turbo), I have implemented a basic solution with encoding and decoding methods based on the official Rust implementation.
Currently, cl100k_base p50k_base has been implemented. Other encodings will be added in future submissions. If you encounter any issues or have questions, please feel free to submit them on the lssues."
using Tiktoken;
var encoding = Encoding.ForModel("gpt-3.5-turbo");
var tokens = encoding.Encode("hello world"); // [15339, 1917]
var text = encoding.Decode(tokens); // hello world
var encoding = Encoding.Get("cl100k_base");
var tokens = encoding.Encode("hello world"); // [15339, 1917]
var text = encoding.Decode(tokens); // hello world
When using a new encoder for the first time, the required tiktoken files for the encoder will be downloaded from the internet. This may take some time. Once the download is successful, subsequent uses will not require downloading again. You can set TikToken.PBEFileDirectory before using the encoder to modify the storage path of the downloaded tiktoken files, or you can pre-download the files to avoid network issues causing download failures.
Why are the tiktoken files not integrated into the package? On one hand, this would make the package size larger. On the other hand, I want to stay as consistent as possible with OpenAI's official Python code.
Below are the file download links: p50k_base.tiktoken cl100k_base.tiktoken
You can view the reports for each version here
<!--BENCHMARKS_START-->
BenchmarkDotNet=v0.13.5, OS=macOS Ventura 13.3.1 (a) (22E772610a) [Darwin 22.4.0]
Apple M1 Pro, 1 CPU, 10 logical and 10 physical cores
.NET SDK=7.0.203
[Host] : .NET 7.0.5 (7.0.523.17405), Arm64 RyuJIT AdvSIMD
Job-ZISPEC : .NET 7.0.5 (7.0.523.17405), Arm64 RyuJIT AdvSIMD DEBUG
BuildConfiguration=Debug
<!--BENCHMARKS_END-->| Method | Data | Mean | Error | StdDev | Median | Ratio | RatioSD | Gen0 | Gen1 | Allocated | Alloc Ratio |
|---|---|---|---|---|---|---|---|---|---|---|---|
| SharpTokenV1_0_28 | Hello, World! | 3.293 μs | 0.0422 μs | 0.0394 μs | 3.325 μs | 1.00 | 0.00 | 0.6752 | 0.0038 | 4.14 KB | 1.00 |
| TiktokenSharpV1_0_5 | Hello, World! | 6.652 μs | 0.0300 μs | 0.0281 μs | 6.643 μs | 2.02 | 0.03 | 2.1820 | 0.0458 | 13.41 KB | 3.24 |
| Tiktoken | Hello, World! | 6.360 μs | 0.0137 μs | 0.0129 μs | 6.364 μs | 1.93 | 0.02 | 2.1820 | 0.0458 | 13.41 KB | 3.24 |
| SharpTokenV1_0_28 | King(...)edy. [275] | 62.972 μs | 0.3329 μs | 0.2951 μs | 62.912 μs | 1.00 | 0.00 | 8.5449 | 0.4883 | 52.89 KB | 1.00 |
| TiktokenSharpV1_0_5 | King(...)edy. [275] | 21.692 μs | 0.0669 μs | 0.0593 μs | 21.698 μs | 0.34 | 0.00 | 5.0964 | 0.3052 | 31.34 KB | 0.59 |
| Tiktoken | King(...)edy. [275] | 20.063 μs | 0.1374 μs | 0.1148 μs | 20.033 μs | 0.32 | 0.00 | 5.7678 | 0.3357 | 35.38 KB | 0.67 |