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vixhal-baraiya/qwenGPU

Qwen3.5-2B with a SIMT GPU inside its weights, 45 compiled layers in front of Qwen’s own, using its Gated DeltaNet layers as registers and memory.

#Language model
Visit GitHub
Python
117
16
1 contributors
MIT License
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Momentum

How fast vixhal-baraiya/qwenGPU 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

Oct 31 – Nov 5, 2026

Stars +115 in 6 days

0204060
60

Forks +16 in 6 days

0510
10

Merged PRs 0 in 6 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Oct 31Nov 1Nov 2Nov 3Nov 4Nov 5
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Sat, Oct 31, 2026+0+00
Sun, Nov 1, 2026+3+00
Mon, Nov 2, 2026+60+100
Tue, Nov 3, 2026+27+30
Wed, Nov 4, 2026+23+30
Thu, Nov 5, 2026+2+00
Total+115+160
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Nov 11 post
    • Meet qwenGPU: Qwen3.5-2B with a SIMT GPU inside its weights, 45 compiled layers in front of Qwen’s own, using its Gated DeltaNet layers as registers and memory. It runs real CUDA in its forward…

      Read full on X, posted by @TheVixhal

      @TheVixhal · x.com

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