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turbo-fieldfare

OtherGitHubActiveSwift

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

Description provenance: Original source

Open canonical source

Measured: Oct 14, 2026 · 67 observations

Domains & Uses

Domains
AI / LLM

Check at the source

Compatibility and prerequisites must be checked in the official documentation.

https://github.com/drumih/turbo-fieldfare

Classifications

Nature
Tool

Measurement history

Comparable readings are grouped by signal and unit.

Stars

6,923stars · Oct 14, 2026

+57 (+0.8 %)since Oct 7, 2026

Oct 7, 2026 : 6,866 starsOct 8, 2026 : 6,870 starsOct 9, 2026 : 6,872 starsOct 10, 2026 : 6,874 starsOct 11, 2026 : 6,877 starsOct 12, 2026 : 6,880 starsOct 13, 2026 : 6,883 starsOct 14, 2026 : 6,923 stars
Exact values · 8 readings
MeasuredstarsChange
6,923+40
6,883+3
6,880+3
6,877+3
6,874+2
6,872+2
6,870+4
6,866·