Gemma 4 26B-A4B inference in ~2 GB of RAM on any M-series MacBook
Run a large AI model on your Mac with limited memory, making it accessible even for devices with less RAM.
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turbo-fieldfare has 2.9k stars on GitHub. It has been forked 123 times. turbo-fieldfare is written mainly in Swift. It has been in active development since 2026. turbo-fieldfare is available under the Apache-2.0 license. Its main topics are apple-silicon, gemma, gemma4, gemma4-26b-a4b.
Gemma 4 26B-A4B inference in ~2 GB of RAM on any M-series MacBook
turbo-fieldfare is an open-source project. It is released under the Apache-2.0 license.
Yes. turbo-fieldfare is free and open source — you can use, modify and self-host it.
turbo-fieldfare is available under the Apache-2.0 license.
turbo-fieldfare is written mainly in Swift.
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Measured from GitHub topics shared by both projects, weighted by how rare each topic is.