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turbo-fieldfare

Gemma 4 26B-A4B inference in ~2 GB of RAM on any M-series MacBook

  • gemma
  • gpgpu
  • llm
  • local-ai
  • macos
  • metal
  • on-device-ai
  • swift
  • apple-silicon
  • gemma4
  • gemma4-26b-a4b
  • llm-inference
  • on-device-llm
View on GitHub
Stars
6,859
Forks
435
+ today
+1
Created
2mo

Ranking data as of October 5, 2026 (UTC).

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Overview

Gemma 4 26B-A4B inference in ~2 GB of RAM on any M-series MacBook It ranks #1521 on GitTiger, gaining +1 star on October 5, 2026 (UTC).

The project is written in Swift and has 435 forks. It was created 2mo ago.

Installation
git clone https://github.com/drumih/turbo-fieldfare.git
cd turbo-fieldfare
# see README for setup