drumih / turbo-fieldfare
Gemma 4 26B-A4B inference in ~2 GB of RAM on any M-series MacBook
Why this job: topics: apple-silicon, llm-inference, local-ai, on-device-ai
What it does
A custom Swift + Metal runtime for any Apple Silicon Mac, even the 8 GB ones.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 15 days ago
- Stars
- 7,326
- +206 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 0.9.4
- Released 15 days ago
- Built with
- Swift
- 95% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 74% closed
- 22 still open
- Pull requests
- 49 merged
- 35 waiting
- Releases
- 24
- 24 in the last year
- Contributing guide (opens in new tab)
- Security policy (opens in new tab)
- No code of conduct
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More: languages, topics and project record
Languages
- Swift 95%
- Metal 4%
- Ruby 1%
- Shell <1%
Topics
- apple-silicon
- gemma
- gemma4
- gemma4-26b-a4b
- gpgpu
- llm
- llm-inference
- local-ai
- macos
- metal
- on-device-ai
- on-device-llm
Project record
- JobLocal LLMs
- StatusListed
- Commits52
- Forks477
- Watching35
- Stars in 28 days+432
- CreatedJul 17, 2026
- First seen by usNov 7, 2026
- CheckedNov 7, 2026