head to head · open source
GPT4All vs trnrt
GPT4All has 77,353 GitHub stars, 8,259 forks, 771 open issues and last shipped 1.5 years ago. trnrt has 1,317 stars, 12 forks, 10 open issues and last shipped yesterday. GPT4All leads on adoption by 5,773% (77,353 vs 1,317 stars). GPT4All is written in C++ under MIT; trnrt is written in Python under Apache-2.0. GPT4All has attracted 11% as many forks as stars, trnrt 1%. trnrt was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| GPT4All | trnrt | |
|---|---|---|
| GitHub stars | ★ 77K | ★ 1.3K |
| License | MIT | Apache-2.0 |
| Written in | C++ | Python |
| Last push | 2025-05-27 | 2026-11-11 |
| Forks | ⑂ 8.3K | ⑂ 12 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick GPT4All if
- You weight community size — 77K stars and counting
- You want the MIT license terms
- Your stack matches C++
- You value the larger contributor base for long-term maintenance
pick trnrt if
- You want the trnrt feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and trnrt fits your workflow better
About GPT4All
GPT4All Now with support for DeepSeek R1 Distillations Website • Documentation • Discord • YouTube Tutorial GPT4All runs large language models (LLMs) privately on everyday desktops & laptops. No API calls or GPUs required you can just download the application and get started . Read about what's new in our blog . Subscribe to the newsletter GPT4All is made possible by our compute partner Paperspace . Download Links — Windows Installer — — Windows ARM Installer — — macOS Installer — — Ubuntu Installer — The Windows and Linux builds require Intel Core…
read the full GPT4All overview →
About trnrt
Quickstart · Benchmarks · Docs · Kernels · Blog post · runanywhere.ai TrnRT is an open inference engine for large language models on AWS Trainium. It serves an OpenAI compatible API from one trn2.48xlarge , runs decode as NKI megakernels (about one kernel per layer half), and keeps a prefix cache across device and host memory. GLM 5.3 Flash is the first supported model; more open models are on the way. How we built it, with the AgentX results: Serving GLM 5.3 Flash on one Trainium2 box with NKI layer megakernels. Highlights Quickstart You need Docker, a trn2.48xlarge to serve on, and any x86 64 host to compile…
read the full trnrt overview →
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Frequently asked questions
Is GPT4All or trnrt more popular?
GPT4All has 77,353 GitHub stars and trnrt has 1,317. GPT4All has the larger community by that measure.
Are GPT4All and trnrt free?
Both are open source. GPT4All is licensed under MIT and trnrt under Apache-2.0. Neither carries a licence fee.
What is the difference between GPT4All and trnrt?
GPT4All is written in C++ and trnrt in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, GPT4All or trnrt?
Choose GPT4All if you want the larger community (77,353 stars) or its MIT licence terms. Choose trnrt if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.