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DogukanUrker/BenchKit

Benchmark your local LLMs with real evaluation suites. Not vibes - actual scores.

#LLM evaluation
Visit GitHub
Python
31
6
2 contributors
Apache License 2.0
FeaturedAdvertise to 180K+ monthly visitors
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Momentum

How fast DogukanUrker/BenchKit 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

Aug 27 – Oct 26, 2026

Stars +15 in 61 days

024
4

Forks +3 in 61 days

01
1

Merged PRs 32 in 61 days

0246
5

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

Not in the Trendshift top 25 in this period

Aug 27Sep 4Sep 12Sep 20Sep 28Oct 6Oct 14Oct 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, Aug 27, 2026+0+01
Fri, Aug 28, 2026+0+00
Sat, Aug 29, 2026+0+01
Sun, Aug 30, 2026+0+00
Mon, Aug 31, 2026+0+01
Tue, Sep 1, 2026+0+02
Wed, Sep 2, 2026+0+10
Thu, Sep 3, 2026+0+00
Fri, Sep 4, 2026+0+00
Sat, Sep 5, 2026+1+01
Sun, Sep 6, 2026+0+00
Mon, Sep 7, 2026+0+00
Tue, Sep 8, 2026+0+01
Wed, Sep 9, 2026+1+10
Thu, Sep 10, 2026+0+00
Fri, Sep 11, 2026+0+00
Sat, Sep 12, 2026+0+00
Sun, Sep 13, 2026+0+00
Mon, Sep 14, 2026+0+00
Tue, Sep 15, 2026+1+00
Wed, Sep 16, 2026+0+00
Thu, Sep 17, 2026+1+00
Fri, Sep 18, 2026+0+00
Sat, Sep 19, 2026+0+00
Sun, Sep 20, 2026+0+00
Mon, Sep 21, 2026+0+01
Tue, Sep 22, 2026+0+00
Wed, Sep 23, 2026+0+00
Thu, Sep 24, 2026+0+00
Fri, Sep 25, 2026+0+00
Sat, Sep 26, 2026+1+00
Sun, Sep 27, 2026+1+00
Mon, Sep 28, 2026+0+00
Tue, Sep 29, 2026+0+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+0+00
Mon, Oct 5, 2026+0+00
Tue, Oct 6, 2026+0+00
Wed, Oct 7, 2026+0+04
Thu, Oct 8, 2026+0+05
Fri, Oct 9, 2026+0+00
Sat, Oct 10, 2026+0+00
Sun, Oct 11, 2026+0+00
Mon, Oct 12, 2026+1+00
Tue, Oct 13, 2026+0+00
Wed, Oct 14, 2026+1+01
Thu, Oct 15, 2026+0+00
Fri, Oct 16, 2026+0+04
Sat, Oct 17, 2026+0+00
Sun, Oct 18, 2026+0+05
Mon, Oct 19, 2026+0+02
Tue, Oct 20, 2026+1+00
Wed, Oct 21, 2026+1+00
Thu, Oct 22, 2026+1+10
Fri, Oct 23, 2026+4+00
Sat, Oct 24, 2026+0+00
Sun, Oct 25, 2026+0+03
Mon, Oct 26, 2026+0+00
Total+15+332
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Oct 141 post
    • config:

      Read full on X, posted by @DogukanUrker

      @DogukanUrker · x.com

  2. Oct 121 post
    • MiniCPM-V4.7 is out. i got api early access from @OpenBMB and ran both sizes through 13 benchmarks with BenchKit. the 35B-A3B is a really strong vision model. 86 on MMVP, 91 on OCRBench, 90.4 on…

      Read full on X, posted by @DogukanUrker

      @DogukanUrker · x.com

  3. 1 month earlier
  4. Sep 91 post
    • MiniCPM5-2B from @OpenBMB ships documented sampling settings with no repeat-penalty, and without it the model loops mid-thought on most tasks. adding one flag took Q4_K_M from 6.1 to 71.3 on…

      Read full on X, posted by @DogukanUrker

      @DogukanUrker · x.com

  5. Sep 51 post
    • Qwen3.8-27B on a single RTX 3060. after weeks of testing quants and configs, this is where I'm stopping -- these two are my final builds for this card. 158K ctx at 22 tok/s, or 82K at 38 tok/s.…

      Read full on X, posted by @DogukanUrker

      @DogukanUrker · x.com

  6. 8 days earlier
  7. Aug 281 post
    • LFM2.5-8B-A1B by @liquidai on a single 12GB RTX 3060. 800K total context across 25 parallel slots, 398 tok/s aggregate. five benchmarks, one repair attempt each. (config below) IFEval 91.9. Liquid's…

      Read full on X, posted by @DogukanUrker

      @DogukanUrker · x.com

  8. Aug 241 post
    • first PatchEval numbers. @ornith_'s 35b-a3b gets 15/20 -- 14 first try, 1 after a repair attempt. every task is a real bug fix from an active python repo, all mined from the last 8 months so the…

      Read full on X, posted by @DogukanUrker

      @DogukanUrker · x.com

  9. Aug 191 post
    • Doğukan ran some benchmarks on a UD-IQ2_XXS quant of Qwen3.8-27B. Their findings were that thinking more didn't yield major performance gains. One commenter did point out that the lower quants could…

      Read full on X, posted by @lachlanglasgow

      @lachlanglasgow · x.com

  10. Aug 171 post
    • https://t.co/Uo3U0zjlIV

      Read full on X, posted by @DogukanUrker

      @DogukanUrker · x.com

  11. Aug 161 post
    • https://t.co/3aQ9un9ceB

      Read full on X, posted by @DogukanUrker

      @DogukanUrker · x.com

  12. Aug 151 post
    • https://t.co/3aQ9un9ceB

      Read full on X, posted by @DogukanUrker

      @DogukanUrker · x.com

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