MegaDLMs hrabanazviking · PARTIAL
GPU-optimized framework for training diffusion language models at any scale. The backend of Quokka, Super Data Learners, and OpenMoE 2 training.
github.com/hrabanazviking/MegaDLMs · ★ 2 · Forks 0 · Size 11.4 MB
SUMMARY
Technologies 23
Scored 21
Observed 21
Practices 6
Evidence 25
Skips 2
COVERAGE
Analyzed 1521 files · 50 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
1 files · PRODUCTION
C++ LANGUAGE Depth 70
3 files · PRODUCTION
Shell LANGUAGE Depth 70
14 files · PRODUCTION
JSON LANGUAGE Depth 70
649 files · PRODUCTION
Markdown LANGUAGE Depth 70
15 files · PRODUCTION
TOML LANGUAGE Depth 70
1 files · PRODUCTION
YAML LANGUAGE Depth 70
260 files · PRODUCTION
Python LANGUAGE Depth 70
565 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
AWS SDK CLOUD Depth 70
3 files · PRODUCTION, TEST
Apache Kafka MESSAGE_BROKER Depth 45
1 files · CONFIGURATION
Black QUALITY Depth —
0 files · config only
Blinker LIBRARY Depth —
0 files · config only
Click LIBRARY Depth 70
4 files · PRODUCTION
Flask FRAMEWORK Depth 62
2 files · PRODUCTION
MongoDB DATABASE Depth 45
1 files · CONFIGURATION
NumPy LIBRARY Depth 100
98 files · CONFIGURATION, PRODUCTION, TEST
Redis CACHE Depth 69
2 files · CONFIGURATION
Requests LIBRARY Depth 81
5 files · PRODUCTION, TEST
TypeScript LANGUAGE Depth 81
22 files · PRODUCTION, TEST
pandas LIBRARY Depth 58
1 files · PRODUCTION
pytest TESTING Depth 74
79 files · PRODUCTION, TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · observedlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-10-26
Last commit 2025-11-11
Active months 2
Commits 50