drumih/turbo-fieldfare
Gemma 4 26B-A4B inference in ~2 GB of RAM on any M-series MacBook
★ 7,053Week rank 158 · star gain starts at the next snapshot
From the README
TurboFieldfare Gemma 4 26B-A4B inference in about 2 GB of RAM A custom Swift + Metal runtime for any Apple Silicon Mac, even the 8 GB ones. Quick start · Local server · Benchmarks · Contribute results · How it works · Experiments · References Memory got expensive.
Setup prompt
Paste this into Cursor or Claude Code. It only includes install lines found in the README, and it asks the agent to review the code first.
Set up the GitHub repository drumih/turbo-fieldfare (Gemma 4 26B-A4B inference in ~2 GB of RAM on any M-series MacBook). Repository: https://github.com/drumih/turbo-fieldfare Official install commands found in the README: git clone https://github.com/drumih/turbo-fieldfare.git Clone the repository and follow those steps. Do not invent package names or extra install commands. Review the code before running anything.
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Same mentions, three half-lives. This is not a star history. Star gain appears after a second daily snapshot.
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Spotted on
- HN @gitpusher42Jul 29, 2026
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