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arcee-ai/mergekit

Tools for merging pretrained large language models.

Visit GitHub
Python
7.4k
812
45 contributors
GNU Lesser General Public License v3.0
AchievementsView all →
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Momentum

How fast arcee-ai/mergekit 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 20 – Oct 19, 2026

Stars +110 in 61 days

0510
10

Forks +40 in 61 days

0246
6

Merged PRs 6 in 61 days

0246
6

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

Not in the Trendshift top 25 in this period

Aug 20Aug 28Sep 5Sep 13Sep 21Sep 29Oct 7Oct 15
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 20, 2026+1+00
Fri, Aug 21, 2026+3+40
Sat, Aug 22, 2026+2+10
Sun, Aug 23, 2026+2+00
Mon, Aug 24, 2026+1+00
Tue, Aug 25, 2026+2+00
Wed, Aug 26, 2026+3+10
Thu, Aug 27, 2026+7+10
Fri, Aug 28, 2026+4+20
Sat, Aug 29, 2026+2+00
Sun, Aug 30, 2026+1+00
Mon, Aug 31, 2026+1+00
Tue, Sep 1, 2026+2+00
Wed, Sep 2, 2026+10+00
Thu, Sep 3, 2026+0+00
Fri, Sep 4, 2026+2+00
Sat, Sep 5, 2026+1+00
Sun, Sep 6, 2026+0+10
Mon, Sep 7, 2026+1+00
Tue, Sep 8, 2026+0+00
Wed, Sep 9, 2026+3+10
Thu, Sep 10, 2026+1+10
Fri, Sep 11, 2026+1+00
Sat, Sep 12, 2026+2+06
Sun, Sep 13, 2026+1+00
Mon, Sep 14, 2026+1+00
Tue, Sep 15, 2026+1+00
Wed, Sep 16, 2026+2+00
Thu, Sep 17, 2026+3+00
Fri, Sep 18, 2026+0+00
Sat, Sep 19, 2026+1+00
Sun, Sep 20, 2026+6+10
Mon, Sep 21, 2026+1+10
Tue, Sep 22, 2026+2+00
Wed, Sep 23, 2026+4+10
Thu, Sep 24, 2026+1+00
Fri, Sep 25, 2026+2+10
Sat, Sep 26, 2026+2+00
Sun, Sep 27, 2026+3+00
Mon, Sep 28, 2026+3+10
Tue, Sep 29, 2026+1+20
Wed, Sep 30, 2026+0+00
Thu, Oct 1, 2026+1+00
Fri, Oct 2, 2026+3+00
Sat, Oct 3, 2026+2+10
Sun, Oct 4, 2026+1+00
Mon, Oct 5, 2026+0+00
Tue, Oct 6, 2026+1+00
Wed, Oct 7, 2026+1+00
Thu, Oct 8, 2026+1+10
Fri, Oct 9, 2026+1+00
Sat, Oct 10, 2026+0+00
Sun, Oct 11, 2026+0+20
Mon, Oct 12, 2026+1+00
Tue, Oct 13, 2026+2+00
Wed, Oct 14, 2026+5+10
Thu, Oct 15, 2026+2+40
Fri, Oct 16, 2026+0+30
Sat, Oct 17, 2026+0+30
Sun, Oct 18, 2026+2+60
Mon, Oct 19, 2026+1+00
Total+110+406
  • 1#1 on the list
  • 7Rank that day
  • Not trending
2

    • GitHub trending history

    Where the repository ranked on GitHub Trending, one dot for each day it was on a list

    Dec 14, 2023Best #15

    #1#5#10#15#20#25
    Top 10
    Jan 2024FebMarAprMay
    The left and right arrow keys step from day to day; Home and End go to the first and the last

    Mentions and achievements

    Where people are talking about arcee-ai/mergekit, and every badge it has earned
    1. Jun 141 post

      • So Rio are using and that it’s?

        Read full on X, posted by @jomangblandino

        @jomangblandino · x.com

    2. Jun 83 posts

      • Best GitHub repos for fine-tuning LLMs without melting your GPU: 1. Unsloth 2. Axolotl 3. LLaMA-Factory 4. PEFT 5. TRL 6. Torchtune 7. LitGPT 8. Mergekit 9. SWIFT

        Read full on X, posted by @NainsiDwiv50980

        @NainsiDwiv50980 · x.com

      • Best GitHub repos for fine-tuning LLMs without melting your GPU: 1. Unsloth 2. Axolotl 3. LLaMA-Factory 4. PEFT 5. TRL 6. Torchtune 7. LitGPT 8. Mergekit 9. SWIFT

        Read full on X, posted by @Suryanshti777

        @Suryanshti777 · x.com

      • Best GitHub repos for fine-tuning LLMs without melting your GPU: 1. Unsloth 2. Axolotl 3. LLaMA-Factory 4. PEFT 5. TRL 6. Torchtune 7. LitGPT 8. Mergekit 9. SWIFT

        Read full on X, posted by @HeyShruti7

        @HeyShruti7 · x.com

    3. 12 days earlier
    4. May 271 post

      • Best GitHub repos for fine-tuning LLMs without melting your GPU: 1. Unsloth 2. Axolotl 3. LLaMA-Factory 4. PEFT 5. TRL 6. Torchtune 7. LitGPT 8. Mergekit 9. SWIFT

        Read full on X, posted by @hasantoxr

        @hasantoxr · x.com

    5. 18 days earlier
    6. May 91 post

      • Make the Model Yours: The Ultimate Guide to Fine-Tuning LLMs

        Read full on Reddit

        r/WebAfterAI

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