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pryzmatpl/prismalama

Get up and running with Kimi-K2.5, GLM-4.7, DeepSeek, gpt-oss, Qwen, Gemma and other models.

#LLM inference
Visit GitHub
Go
37
5
0
MIT License
website
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Momentum

How fast pryzmatpl/prismalama 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

Mar 2026 – Oct 2026

Stars +37 in 8 months

0102030
21

Forks +5 in 8 months

0123
3

Merged PRs 0 in 8 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

Mar 2026Apr 2026May 2026Jun 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
March 2026+21+30
April 2026+13+20
May 2026+2+00
June 2026+0+00
July 2026+1+00
August 2026+0+00
September 2026+0+00
October 2026+0+00
Total+37+50
  • 1#1 on the list
  • 7Best rank that month
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. May 152 posts
    • The answer is easy The reason? One multifork of the hot functionality with nvme streaming and loading the right data to the right memory The goal is to run inference everywhere with minimal friction…

      Read full on X, posted by @piotroxp

      @piotroxp · x.com

    • The answer is easy The reason? One multifork of the hot functionality with nvme streaming and loading the right data to the right memory The goal is to run inference everywhere with minimal friction…

      Read full on X, posted by @piotroxp

      @piotroxp · x.com

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