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sudoingX/qwen38-mtp

One llama.cpp flag unlocks +33-39% decode speed for Qwen3.8-27B on consumer GPUs. The MTP head already ships inside your GGUF. Recipe, paired benchmarks, probe tool.

#LLM inference
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Python
366
107
6 contributors
Apache License 2.0
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Momentum

How fast sudoingX/qwen38-mtp 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 6 – Nov 5, 2026

Stars +107 in 61 days

051015
12

Forks +25 in 61 days

0246
5

Merged PRs 12 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

Sep 6Sep 14Sep 22Sep 30Oct 8Oct 16Oct 24Nov 1
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 6, 2026+1+00
Mon, Sep 7, 2026+0+00
Tue, Sep 8, 2026+2+00
Wed, Sep 9, 2026+12+12
Thu, Sep 10, 2026+11+51
Fri, Sep 11, 2026+4+00
Sat, Sep 12, 2026+2+10
Sun, Sep 13, 2026+6+15
Mon, Sep 14, 2026+3+10
Tue, Sep 15, 2026+4+01
Wed, Sep 16, 2026+1+22
Thu, Sep 17, 2026+0+00
Fri, Sep 18, 2026+1+10
Sat, Sep 19, 2026+0+00
Sun, Sep 20, 2026+1+00
Mon, Sep 21, 2026+1+10
Tue, Sep 22, 2026+0+00
Wed, Sep 23, 2026+0+10
Thu, Sep 24, 2026+2+00
Fri, Sep 25, 2026+0+00
Sat, Sep 26, 2026+3+21
Sun, Sep 27, 2026+10+20
Mon, Sep 28, 2026+9+20
Tue, Sep 29, 2026+1+00
Wed, Sep 30, 2026+1+00
Thu, Oct 1, 2026+2+00
Fri, Oct 2, 2026+1+00
Sat, Oct 3, 2026+0+00
Sun, Oct 4, 2026+2+00
Mon, Oct 5, 2026+3+00
Tue, Oct 6, 2026+0+00
Wed, Oct 7, 2026+0+00
Thu, Oct 8, 2026+0+00
Fri, Oct 9, 2026+0+00
Sat, Oct 10, 2026+6+10
Sun, Oct 11, 2026+1+00
Mon, Oct 12, 2026+0+00
Tue, Oct 13, 2026+3+00
Wed, Oct 14, 2026+3+00
Thu, Oct 15, 2026+5+10
Fri, Oct 16, 2026+1+00
Sat, Oct 17, 2026+0+10
Sun, Oct 18, 2026+0+00
Mon, Oct 19, 2026+0+00
Tue, Oct 20, 2026+0+00
Wed, Oct 21, 2026+1+00
Thu, Oct 22, 2026+0+00
Fri, Oct 23, 2026+0+00
Sat, Oct 24, 2026+0+00
Sun, Oct 25, 2026+0+10
Mon, Oct 26, 2026+1+00
Tue, Oct 27, 2026+0+00
Wed, Oct 28, 2026+1+10
Thu, Oct 29, 2026+0+00
Fri, Oct 30, 2026+0+00
Sat, Oct 31, 2026+1+00
Sun, Nov 1, 2026+0+00
Mon, Nov 2, 2026+0+00
Tue, Nov 3, 2026+0+00
Wed, Nov 4, 2026+1+00
Thu, Nov 5, 2026+0+00
Total+107+2512
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Sep 291 post
    • 68% more decode throughput came from changing split mode alone in a community Qwen3.8-27B llama.cpp test on two RTX 5060 Ti cards, before speculative decoding. How often is the split mode the whole…

      Read full on X, posted by @sakurayukiai

      @sakurayukiai · x.com

  2. Sep 271 post
    • It gets unintuitive with older cards, due to lack of support for certain operations. Ive seen Q6 models do way better than Q4 or Q3 ones, even with more layers offloaded to cpu. So its really hard to…

      Read full on X, posted by @Soulthym

      @Soulthym · x.com

  3. Sep 261 post
    • anyone running agents on an rtx 3090, look at this. qwen 3.8 27b dense went from 34.0 tok/s to 84.4 tok/s on tool calls, 2.5x, with the mtp flag at draft depth 4. a contributor measured it on the…

      Read full on X, posted by @sudoingX

      @sudoingX · x.com

  4. 9 days earlier
  5. Sep 171 post
    • amd users, rejoice. someone put an rx 7900 xt through the same a/b as everyone else, on omarchy, rocm 7.2, headless, and the gaming card flies: 30.8 tok/s stock to 54.0 tok/s with one llama.cpp flag…

      Read full on X, posted by @sudoingX

      @sudoingX · x.com

  6. Sep 131 post
    • this is every card in the table with the mtp flag on and tok/s alone does not tell you if the card holds your context. here i grouped by the window it actually served at that speed, 73 rigs submitted…

      Read full on X, posted by @sudoingX

      @sudoingX · x.com

  7. Sep 112 posts
    • If you have a 16GB RTX card, you are sitting on a frontier-tier AI brain, a video studio, an image generator, a voice cloner, and a music producer. All free. All local. My 24GB post went around. The…

      Read full on X, posted by @yume_arasaki

      @yume_arasaki · x.com

    • 先别急着为本地 Qwen3.8-27B 换卡:GGUF 里的 MTP 头可能一直闲着。 这个仓库把 llama.cpp 参数、探针和跨显卡配对基准整理成可复现实验。单流解码常见提升三成以上,但并发一高收益会消失;多卡应先改 tensor split,再扫 n-max 与置信门槛。KV 量化、显存余量和桌面进程造成的失真也讲得很透。

      Read full on X, posted by @vintcessun

      @vintcessun · x.com

  8. Sep 101 post
    • First time testing multi-token prediction on llama.cpp I’m happy that I got a consistent ~22% decoding speed gain on Qwen 3.8 27B with the built-in MTP 19.43 → 23.78 tok/s Machine M3 Ultra, Apple…

      Read full on X, posted by @ton_anywhere

      @ton_anywhere · x.com

  9. 10 days earlier
  10. Aug 311 post
    • this repo i created for qwen 3.8 27b dense is turning into the reference for running it on whatever metal you own. i posted the blackwell board this afternoon and by midnight the repo had answered.…

      Read full on X, posted by @sudoingX

      @sudoingX · x.com

  11. 14 days earlier
  12. Aug 171 post
    • a day ago i open sourced a repo for qwen 3.8 27b dense with two speed rows in it. it now holds numbers measured by 28 people on their own hardware, pascal to blackwell. if you run local ai on…

      Read full on X, posted by @sudoingX

      @sudoingX · x.com

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