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Megatron-LM

Fine-Tuning 7.7/10 Strong

Ongoing research training transformer models at scale

Megatron-LM scores 7.7/10 (Strong) in Fine-Tuning.

Language Python License Custom (see repo) Stars 16.9k★ Type heavyweight Self-host Yes Repo NVIDIA/Megatron-LM Homepage https://github.com/NVIDIA/Megatron-LM

Quality

Strong 7.7
Adoption 56
Activity 91
Maturity 100
Community 66
Capability 50
Show the math
Overall 7.7/10
value = 7.7/10
score = value
Adoption 6/10
value = 55.7/100
score = 1 + 9 * value / 100
Activity 9.1/10
value = 90.5/100
score = 1 + 9 * value / 100
Maturity 10/10
value = 100/100
score = 1 + 9 * value / 100
Community 6.9/10
value = 65.9/100
score = 1 + 9 * value / 100
Capability 5.5/10
value = 50/100
score = 1 + 9 * value / 100

Key metrics

16.9k★ GitHub stars
617/90d Recent commits
32 devs/90d Recent contributors
7.3y Project age
active Last commit

Gotchas

No gotchas documented yet. Contribute one if you know a constraint we missed.

Labels

  • No license

    No OSS license

    No recognized open-source license is declared; using it commercially is legally ambiguous.

  • Self-hosted

    Self-hosted

    You deploy and operate it yourself; there is no hosted option here.

  • Heavyweight

    Heavyweight

    Resource-heavy to run (GPU, large memory, or multi-service stack).

large-scale model-parallel training nvidia gpu