nemo-mbridge-perf-tp-dp-comm-overlap
Operational guide for enabling TP, DP, and PP communication overlap in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.
npx skills add NVIDIA/skills --skill nemo-mbridge-perf-tp-dp-comm-overlap --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# TP / DP / PP Communication Overlap Skill For stable background and recommendation level, see: - @docs/training/communication-overlap.md ## Enablement Minimal Bridge override: ```python from megatron.bridge.training.comm_overlap import CommOverlapConfig cfg.model.tensor_model_parallel_size = 4 cfg.model.sequence_parallel = True cfg.model.pipeline_model_parallel_size = 4 cfg.model.virtual_pipeline
What does the nemo-mbridge-perf-tp-dp-comm-overlap skill do?
Operational guide for enabling TP, DP, and PP communication overlap in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.
How do I install it?
Run `npx skills add NVIDIA/skills --skill nemo-mbridge-perf-tp-dp-comm-overlap --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From NVIDIA/skills, a repository with 2,789 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.