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ifm-ai/uno

Unlocking Lossless Speedups in LLMs via Discrete Diffusion

Visit GitHub
Python
107
17
3 contributors
Apache License 2.0
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Momentum

How fast ifm-ai/uno 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

Sep 3 – Oct 24, 2026

Stars +87 in 52 days

0510
9

Forks +17 in 52 days

0123
3

Merged PRs 5 in 52 days

01
1

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

Not in the Trendshift top 25 in this period

Sep 3Sep 10Sep 17Sep 24Oct 1Oct 8Oct 15Oct 22
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
Thu, Sep 3, 2026+0+01
Fri, Sep 4, 2026+5+11
Sat, Sep 5, 2026+9+10
Sun, Sep 6, 2026+3+00
Mon, Sep 7, 2026+6+10
Tue, Sep 8, 2026+9+30
Wed, Sep 9, 2026+7+10
Thu, Sep 10, 2026+8+30
Fri, Sep 11, 2026+0+01
Sat, Sep 12, 2026+0+11
Sun, Sep 13, 2026+3+00
Mon, Sep 14, 2026+0+00
Tue, Sep 15, 2026+1+00
Wed, Sep 16, 2026+3+00
Thu, Sep 17, 2026+5+00
Fri, Sep 18, 2026+3+20
Sat, Sep 19, 2026+1+00
Sun, Sep 20, 2026+1+00
Mon, Sep 21, 2026+1+00
Tue, Sep 22, 2026+1+00
Wed, Sep 23, 2026+2+00
Thu, Sep 24, 2026+1+00
Fri, Sep 25, 2026+3+00
Sat, Sep 26, 2026+0+00
Sun, Sep 27, 2026+0+00
Mon, Sep 28, 2026+2+20
Tue, Sep 29, 2026+2+00
Wed, Sep 30, 2026+0+00
Thu, Oct 1, 2026+0+00
Fri, Oct 2, 2026+0+00
Sat, Oct 3, 2026+0+00
Sun, Oct 4, 2026+2+00
Mon, Oct 5, 2026+0+00
Tue, Oct 6, 2026+0+10
Wed, Oct 7, 2026+0+00
Thu, Oct 8, 2026+0+10
Fri, Oct 9, 2026+0+00
Sat, Oct 10, 2026+0+00
Sun, Oct 11, 2026+1+00
Mon, Oct 12, 2026+1+01
Tue, Oct 13, 2026+0+00
Wed, Oct 14, 2026+0+00
Thu, Oct 15, 2026+3+00
Fri, Oct 16, 2026+0+00
Sat, Oct 17, 2026+0+00
Sun, Oct 18, 2026+0+00
Mon, Oct 19, 2026+1+00
Tue, Oct 20, 2026+1+00
Wed, Oct 21, 2026+1+00
Thu, Oct 22, 2026+0+00
Fri, Oct 23, 2026+1+00
Sat, Oct 24, 2026+0+00
Total+87+175
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Sep 91 post
    • Verdict: Solid result, will likely replicate—clean parameter separation, lossless claim backed by benchmark parity, weights public.

      Read full on X, posted by @AIEnthusiast26x

      @AIEnthusiast26x · x.com

  2. Sep 71 post
    • 💻 ifm-ai/uno by @IFM_AI Runs lossless multi-token LLM decoding with linear or tree sampling, using diffusion weights to propose parallel tokens from the AR distribution. Key points: • Provably…

      Read full on X, posted by @papersdatacode

      @papersdatacode · x.com

  3. Sep 41 post
    • Unlocking Lossless Speedups in LLMs via Discrete Diffusion

      Read full on Hacker News

      Hacker News

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