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slee-persis/GVS5H

GVS5H: Five Qwen3.8-27B Models Match Claude Fable 5 on LiveCodeBench Hard | Fable 5 Level Coding for a Fifth the Price - or on a Single GPU

#AI coding assistant#LLM evaluation
Visit GitHub
Python
1.2k
137
2 contributors
MIT License
AchievementsView all →
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How fast slee-persis/GVS5H 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 13 – Nov 12, 2026

Stars +873 in 61 days

0100200300
218

Forks +77 in 61 days

01020
16

Merged PRs 4 in 61 days

012
2

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

Not in the Trendshift top 25 in this period

Sep 13Sep 21Sep 29Oct 7Oct 15Oct 23Oct 31Nov 8
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
Sun, Sep 13, 2026+114+90
Mon, Sep 14, 2026+63+91
Tue, Sep 15, 2026+27+12
Wed, Sep 16, 2026+37+21
Thu, Sep 17, 2026+48+20
Fri, Sep 18, 2026+30+20
Sat, Sep 19, 2026+6+00
Sun, Sep 20, 2026+6+20
Mon, Sep 21, 2026+5+20
Tue, Sep 22, 2026+5+00
Wed, Sep 23, 2026+6+00
Thu, Sep 24, 2026+6+00
Fri, Sep 25, 2026+6+00
Sat, Sep 26, 2026+5+00
Sun, Sep 27, 2026+3+00
Mon, Sep 28, 2026+2+00
Tue, Sep 29, 2026+3+00
Wed, Sep 30, 2026+4+00
Thu, Oct 1, 2026+2+10
Fri, Oct 2, 2026+3+10
Sat, Oct 3, 2026+3+10
Sun, Oct 4, 2026+8+00
Mon, Oct 5, 2026+7+10
Tue, Oct 6, 2026+3+00
Wed, Oct 7, 2026+1+00
Thu, Oct 8, 2026+3+00
Fri, Oct 9, 2026+5+00
Sat, Oct 10, 2026+1+00
Sun, Oct 11, 2026+0+00
Mon, Oct 12, 2026+2+00
Tue, Oct 13, 2026+0+00
Wed, Oct 14, 2026+0+00
Thu, Oct 15, 2026+2+00
Fri, Oct 16, 2026+1+00
Sat, Oct 17, 2026+0+00
Sun, Oct 18, 2026+0+00
Mon, Oct 19, 2026+4+00
Tue, Oct 20, 2026+0+00
Wed, Oct 21, 2026+0+00
Thu, Oct 22, 2026+0+00
Fri, Oct 23, 2026+2+00
Sat, Oct 24, 2026+1+00
Sun, Oct 25, 2026+218+160
Mon, Oct 26, 2026+72+80
Tue, Oct 27, 2026+23+10
Wed, Oct 28, 2026+26+40
Thu, Oct 29, 2026+18+30
Fri, Oct 30, 2026+8+00
Sat, Oct 31, 2026+4+20
Sun, Nov 1, 2026+38+30
Mon, Nov 2, 2026+16+30
Tue, Nov 3, 2026+6+00
Wed, Nov 4, 2026+7+10
Thu, Nov 5, 2026+6+30
Fri, Nov 6, 2026+0+00
Sat, Nov 7, 2026+1+00
Sun, Nov 8, 2026+1+00
Mon, Nov 9, 2026+4+00
Tue, Nov 10, 2026+1+00
Wed, Nov 11, 2026+0+00
Thu, Nov 12, 2026+0+00
Total+873+774
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Mentions and achievements

Where people are talking about slee-persis/GVS5H, and every badge it has earned
  1. Nov 21 post
    • 5 个 Qwen3.8-27B 分工写算法题,LiveCodeBench Hard 前 10 题跑 5 轮,平均做对 9.8 题,Fable 5 单次调用是 8.0。 每个模型只管一段: 1. 一个做规划 2. 两个各出一种解法思路 3. 一个写代码 4. 跑完样例,一个看结果写修改意见,一个按意见修 每个角色都从全新上下文开始,只通过磁盘上的文件交流。原论文认为提升主要来自这条规矩。 这是…

      Read full on X, posted by @wei_wang

      @wei_wang · x.com

  2. Nov 11 post
    • 同一个 Qwen3.8-27B,开五个,各说各的,只靠文件夹传话。 不训练,纯靠分工:本地版 66.8% → 92.4%;云端版 93.0%,压过 Fable 5 的 90.4%,成本才 9%。 五个小孩叠起来,跟一只大猩猩一样高。

      Read full on X, posted by @w_harry93

      @w_harry93 · x.com

  3. 7 days earlier
  4. Oct 253 posts4 posts
    • 【中美AI竞赛】好家伙,5个开源小模型组队,把Claude王牌超了:5个Qwen3.8-27B用GVS5H分工,LiveCodeBench难题从66.8%干到92.4%,比Fable 5的90.4%高2个点。说白了不是模型变大,是分工变聪明了。但人家是单发单中,这边是组队刷题,不算公平——你觉得算真超车吗?

      Read full on X, posted by @StatevergeCN

      @StatevergeCN · x.com

    • 🤖 开源项目 GVS5H 登上 HN 首页:5 个本地 Qwen3.8-27B 分工协作(共享文件账本),无需额外训练,在 LiveCodeBench 难题上达 92.4%,略超 Claude Fable 5 的 90.4%。拼的不是更大模型,是编排。来源: #AI

      Read full on X, posted by @joinbotgo

      @joinbotgo · x.com

    • 想用小模型追平旗舰,GVS5H 可以看看 它不换大模型,只换组织方式,5 个 27B 实例分工协作 • 100 道 Hard 题,27B 单次 66.8%,组队后 92.4%,超 Fable 5 90.4% • Flash Next 93.0%,成本只要 Fable 5 的 9% • 8 月旧仓,收益非普适,要自备 Key 预算有限又想啃难题的,值得一试 仓库放一楼👇

      Read full on X, posted by @mingzi206

      @mingzi206 · x.com

    • GVS5H: Five Qwen3.8-27B Models Match Claude Fable 5 on LiveCodeBench Hard

      Read full on Hacker News

      Hacker News

  5. 1 month earlier
  6. Sep 182 posts
    • Achieve Fable 5 performance using Qwen3.8 27B with GVS5H harness

      Read full on Reddit

      r/LocalLLM

    • Open-weight models match Fable 5 on hard LiveCodeBench at a tenth of the cost

      Read full on Reddit

      r/LLMDevs

  7. Sep 172 posts
    • Qwen 3.8 - Flash Next with a Harness Outperforms Fable 5 at 10% the cost Is it over for Anthr*pic and Op*nAI?

      Read full on X, posted by @NoemiTitarenco

      @NoemiTitarenco · x.com

    • GPT 5.6 Terra Code Almost as Good as Fable with a Fraction of The Cost

      Read full on Reddit

      r/ChatGPT

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