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AI AgentsUpdated from GitHub

joesinvestments/GLM-5.2-QuantTrio-TP4-DCP2-4x-DGX-Spark

GLM-5.2 QuantTrio TP=4+DCP2 on 4x NVIDIA DGX Spark (GB10) — tuned and measured under a real agent workload. Adaptive MTP, the indexer law, and the negative results.

192Python16d old

Summary

The available public data is mixed. More sustained activity or a broader contributor base would strengthen the score.

joesinvestments/GLM-5.2-QuantTrio-TP4-DCP2-4x-DGX-Spark recorded 37 commits in the past 30 days, has 2 public contributors, and has averaged 1.2 stars a day since launch.

59

Repository health

24

Maintainer track record

66

Repository quality

39

Catalyst Score

Contributors

Public track record

Joseph Sauvage GitHub avatar
Joseph Sauvage

@joesinvestments · Repository owner

24/100

This account has a limited public history, so the track-record score is less certain.

7 followers8 public repos0y history36 contributions
8 public repositories7 followers0 years of public history
dfi GitHub avatar
dfi

@0xdfi · Top contributor

18/100

This account has a limited public history, so the track-record score is less certain.

4 followers12 public repos0y history1 contributions
12 public repositories4 followers0 years of public history

Score breakdown

How the Catalyst Score was calculated

Star growth since launch+2
Fork growth since launch+0
Freshness+5
30-day commit activity+12
Contributor breadth+4
Maintainer track record+3
Topic activity+4
Repository quality+5
Topic novelty+10
Risk penalty6

Activity

Recent repository activity

37

Commits · 30d

2

Public contributors

1.2

Lifetime stars/day

0

Pull requests · 90d

Findings

What we found

37 commits in the last 30 days

2 public contributors

0 issues and 0 pull requests opened in 90 days

4 documentation and structure checks passed

Related repositories

ai-agents · 0 created in the past 30 days

Risk review

What needs watching

Contributor concentration is highRepository is archived

Public GitHub data cannot verify private work, employment claims, code security, or identity. Use the track-record score as research context, not proof of identity or trustworthiness.

Growth quality

Recent attention and maintainer concentration

Recent timestamps and contribution patterns help distinguish sustained adoption from a single headline number.

Contributor concentration

Top 2 public contributors

Top contributor share
97%
Top three share
100%
Contributors checked
2
Concentration
High

Shares use the contribution totals reported for the contributors checked, not private or unlinked activity.

Recent commit sample

Latest 37 commits

Unique authors
2
Verified commits
0%
Merge commits
3%
Median time between commits
44 min

Repository footprint

Default branch: main

Repository size
300 KB
Branches
1
Tags
0
Watchers
0
WikiIssue tracking

Deeper GitHub data

Delivery, collaboration, and project readiness

These metrics use the latest public records GitHub makes available for this repository.

Language composition

Share of detected source bytes

Python75.4%
Shell24.5%
Dockerfile0.2%

Community readiness

GitHub community health 42%

README
License
Contributing guide
Code of conduct
Issue template
Pull request template

Pull request health

Latest 1 pull requests

Merge rate
100%
Median merge time
4.3 days
Open
0
Stale over 30 days
0

Issue health

Latest 3 issues

Closure rate
67%
Median close time
2.5 days
Open
1
Open without replies
0

Last checked

8/26/2026, 11:02:00 PM

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