hasson827/Awesome-DLMs-post-training

A curated list of papers and selected technical blogs on the post-training of Diffusion Language Models (DLMs).

11
Stars
0
Forks
20.5
Radar Score
Stable
Momentum

Scoring Breakdown

Impact0.4
Velocity27.7
Health42.7

Growth Metrics

7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
—

Why it ranks

Modest but positive momentum.

LLM Frameworks · fine-tuningTop 96% globally

🛡️ Enterprise Readiness & Commercial Safety

Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
NOASSERTION
Review license terms carefully before commercial adoption.
Health Grade
B
Based on maintenance, issue response, and release cadence.
Radar Score
20.5
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.

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