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Gigatoken

Language model tokenization at GB/s

GitHub ↗MIT⚡ Inference

At a glance

Is this tool relevant to you?

What it does

Language model tokenization at GB/s

May suit

People who need to run, serve, or optimize AI models.

Before you try it

The repository reports a MIT license. Setup difficulty and device support still need to be checked upstream.

Evidence & freshness

What we know, and how recently we checked

Basic listing· 2026-10-04 09:17 UTC

This record comes from the wider automated directory. It has not yet passed the stronger catalog verification checks.

Source
Automated project sync
Checked
2026-10-04 09:17 UTC
Snapshot evidence level
Limited confidence
Maintenance signal
Watch55/100

Mixed maintenance signals. Review recent activity and the weaker areas before adopting it.

The health score is an automated maintenance signal, not a security audit or a guarantee that the tool fits your needs.

How verification and health scoring work

Catalog-verified records use a timestamped GitHub snapshot that passed source and completeness checks. Basic listings come from the wider automated sync and have not yet passed that stronger verification path.

Health combines recent activity, commit frequency, issue handling, contributor depth, release cadence, documentation, and community signals. Missing evidence lowers how much confidence you should place in the number.

Read the full methodology →
⭐
4.1K
Stars
🍴
216
Forks
👥
1
Contributors
💚
Watch55/100
Health Score

Star History

01.0K2.0K3.1K4.1K2026/8/102026/9/7

Health Score Breakdown

Star Momentum
71
Commit Frequency
82
Issue Health
80
Contributors
10
Release Cadence
10
Documentation
50
Community Signal
50

Project Info

Language
Rust
License
MIT
Last Commit
2026-09-02 06:03 UTC
Last Release
N/A
Open Issues
17
Bus Factor
1
Commits/Week
16.3
Avg Issue Close
3.2 days
llmnlptokenizationtokenizer

Project Badge

Embed a live health badge in a README or docs page.

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