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Enntity/sparkglm

Fast, capable GLM-5.3-Flash NVFP4 on two DGX Sparks: opinionated Atlas serving and reproducible inference research.

#LLM inference
Visit GitHub
Python
68
3
1 contributors
GNU Affero General Public License v3.0
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Momentum

How fast Enntity/sparkglm 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 4 – Oct 23, 2026

Stars +68 in 50 days

051015
11

Forks +3 in 50 days

01
1

Merged PRs 55 in 50 days

0510
10

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

Not in the Trendshift top 25 in this period

Sep 4Sep 11Sep 18Sep 25Oct 2Oct 9Oct 16Oct 23
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
Fri, Sep 4, 2026+0+00
Sat, Sep 5, 2026+11+10
Sun, Sep 6, 2026+0+00
Mon, Sep 7, 2026+1+00
Tue, Sep 8, 2026+1+02
Wed, Sep 9, 2026+5+01
Thu, Sep 10, 2026+0+00
Fri, Sep 11, 2026+0+00
Sat, Sep 12, 2026+0+01
Sun, Sep 13, 2026+1+00
Mon, Sep 14, 2026+0+00
Tue, Sep 15, 2026+0+00
Wed, Sep 16, 2026+0+00
Thu, Sep 17, 2026+1+00
Fri, Sep 18, 2026+1+00
Sat, Sep 19, 2026+0+00
Sun, Sep 20, 2026+0+00
Mon, Sep 21, 2026+0+00
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+0+00
Sun, Sep 27, 2026+1+00
Mon, Sep 28, 2026+0+00
Tue, Sep 29, 2026+0+03
Wed, Sep 30, 2026+1+010
Thu, Oct 1, 2026+0+03
Fri, Oct 2, 2026+0+01
Sat, Oct 3, 2026+0+01
Sun, Oct 4, 2026+0+06
Mon, Oct 5, 2026+5+04
Tue, Oct 6, 2026+10+00
Wed, Oct 7, 2026+2+01
Thu, Oct 8, 2026+6+02
Fri, Oct 9, 2026+1+02
Sat, Oct 10, 2026+1+03
Sun, Oct 11, 2026+7+10
Mon, Oct 12, 2026+0+03
Tue, Oct 13, 2026+3+02
Wed, Oct 14, 2026+0+01
Thu, Oct 15, 2026+0+00
Fri, Oct 16, 2026+1+01
Sat, Oct 17, 2026+0+02
Sun, Oct 18, 2026+1+00
Mon, Oct 19, 2026+3+00
Tue, Oct 20, 2026+1+10
Wed, Oct 21, 2026+2+01
Thu, Oct 22, 2026+1+05
Fri, Oct 23, 2026+1+00
Total+68+355
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Oct 111 post

    • There are a lot of ways to run big models on DGX Sparks and the landscape is always changing. If you're considering running one of our model packages, here’s an informal FAQ 🧵 First up: what’s with…

      Read full on X, posted by @jmacftw

      @jmacftw · x.com

  2. Oct 81 post

    • If you have 2 DGX Sparks and you want to run a near-frontier coding model that balances quality, speed, and concurrency, you should try SparkGLM. It runs the GLM 5.3 Flash NVIDIA NVFP4 weights on an…

      Read full on X, posted by @jmacftw

      @jmacftw · x.com

  3. Oct 21 post

    • Nice! @MiaAI_lab @ashxhart something to look at together?

      Read full on X, posted by @cumpsd

      @cumpsd · x.com

  4. Oct 11 post

    • A bit less than a month ago, we started SparkGLM as an effort to maximize real-world concurrent use cases for GLM 5.3 Flash on DGX Spark TP-2. Since then, every aspect of serving the model has…

      Read full on X, posted by @jmacftw

      @jmacftw · x.com

  5. 22 days earlier
  6. Sep 91 post

    • After much experimentation, SparkGLM (GLM 5.3 Flash on 2x @NVIDIAAI DGX Sparks) has moved to NVFP4 as its default on two DGX Sparks. For us this move resulted in about 20% less wait time to first…

      Read full on X, posted by @jmacftw

      @jmacftw · x.com

  7. Sep 71 post

    • We're moving Jinx and Luna to the latest Qwen 3.8 Flash Next NVFP4 setup across two @NVIDIAAI DGX Sparks in TP-2. A little while ago, we tested Qwen 3.8 Flash Next and GLM 5.3 Flash for our workload.…

      Read full on X, posted by @jmacftw

      @jmacftw · x.com

  8. Sep 42 posts

    • Awesome - I’ll get it published probably tomorrow - I have a lot of experiments to organize - started with trying to do it all in the Atlas stack and ended up in the VLLM stack

      Read full on X, posted by @jmacftw

      @jmacftw · x.com

    • GLM-5.3 Flash is probably the best agentic coding model you can run on 2× @NVIDIAAI DGX Sparks right now (TP-2). Both Qwen 3.8 Flash Next and Deepseek V4 Flash Vision are faster (and also excellent…

      Read full on X, posted by @jmacftw

      @jmacftw · x.com

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