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TRI-Tech-Revolution-Intelligence/LocalLLM

Easily run LLMs locally using llama.cpp directly, without overhead.

Visit GitHub
TypeScript
21
3
1 contributors
GNU General Public License v3.0
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Momentum

How fast TRI-Tech-Revolution-Intelligence/LocalLLM 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

Jun 2026 – Oct 2026

Stars +3 in 5 months

0123
3

Forks +3 in 5 months

012
2

Merged PRs 0 in 5 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

Jun 2026Jul 2026Aug 2026Sep 2026Oct 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
June 2026+0+20
July 2026+0+00
August 2026+3+10
September 2026+0+00
October 2026+0+00
Total+3+30
  • 1#1 on the list
  • 7Best rank that month
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Aug 181 post

    • sorry, the correct is -kvu not kuv llama-server.exe -m Qwen3.6-35B-A3B-UD-Q4_K_XL.gguf --host 127.0.0.1 --port 8080 --ctx-size 128000 -b 2048 --parallel 1 -ngl 999 --threads 8 -ub 512 -ctk q8_0 -ctv…

      Read full on X, posted by @quimedesu

      @quimedesu · x.com

  2. Aug 171 post

    • If you have a 16gb gpu this is for you, I even have a command line to you use to fit 128k context on this. 10gb qwen 3.8 27b that can code just fine. 12gpu are also covered.

      Read full on X, posted by @quimedesu

      @quimedesu · x.com

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