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assix/Arduino-UnoQ-Optimized-Llama-CLI

A high-performance implementation of llama.cpp for the Arduino Uno Q, featuring Adreno 702 GPU acceleration and MCU-MPU bridge logic.

#LLM inference#Embedded
Visit GitHub
C++
20
4
1 contributors
MIT License
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How fast assix/Arduino-UnoQ-Optimized-Llama-CLI is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

May 2026 – Nov 2026

Stars +20 in 7 months

051015
13

Forks +4 in 7 months

024
4

Merged PRs 0 in 7 months

01

Trendshift Trendingthe best rank each month, on any day it made the top 25

Not in the Trendshift top 25 in this period

May 2026Jun 2026Jul 2026Aug 2026Sep 2026Oct 2026Nov 2026
The left and right arrow keys step from month to month; Home and End go to the first and the last

Stars, forks, merged pull requests and best Trendshift Trending rank, by month
MonthStars gainedForks gainedMerged PRs
May 2026+13+40
June 2026+5+00
July 2026+1+00
August 2026+1+00
September 2026+0+00
October 2026+0+00
November 2026+0+00
Total+20+40
  • 1#1 on the list
  • 7Best rank that month
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. May 181 post
    • We all know the edge AI capabilities of Arduino UNO Q, but seeing it crunch a local LLM (even if “only” 135M parameters) at over 30 tokens per second is mind-blowing. 🤯 Kudos to Anthony Assi, who’s…

      Read full on X, posted by @arduino

      @arduino · x.com

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