distributed-training-megatron-core
Trains large language models (2B-462B parameters) using NVIDIA Megatron-Core with advanced parallelism strategies. Use when training models >1B parameters, need maximum GPU efficiency (47% MFU on H100), or require tensor/pipeline/sequence/context/expert parallelism. Production-ready framework used for Nemotron, LLaMA, DeepSeek.
| Field | Value |
|---|---|
| Owner | davila7 |
| Curator | Thomas Cherickal |
| Source | davila7/claude-code-templates |
| Repo stars | 33,617 |
| License | MIT |
| Repo last push | 2026-11-14 |
Links
- Roles: llm-engineer
- Source repo: davila7/claude-code-templates
- Same repo: eval-genius, evaluation-bigcode-evaluation-harness, evaluation-lm-evaluation-harness, evaluation-nemo-evaluator, prompt-engineering-dspy, distributed-training-deepspeed, distributed-training-pytorch-fsdp, emerging-techniques-knowledge-distillation
- Registry seed skills for this role: llm-engineer seed skills