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training-llms-megatron Review findings

orchestra-researchorchestra-research/ai-research-skillsupdated

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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.
orchestra-research's own description, from the skill's files.
ResearchSales & marketingAI & agentsskill
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OverviewSecurity1Versions1

Overview

holdReview findings

Waxell's checks found 1 finding to review, highest severity high.

Highest severity
high
Findings
1
What ran
Static analysis

A clean result means nothing alarming in what is published, not a guarantee. How the checks work

We don't republish the skill's instructions. Read them on GitHub at the reviewed commit.

Security

Security scan

Checked 2 days ago

Result

Review findings Waxell's checks found 1 finding to review, highest severity high.

Checked with static analysis: servers it launches, packages it installs at runtime, scripts piped to a shell and bundled binaries. Nothing was run. How the checks work

Findings (1)

high · 1

  • high

    Tells Claude to install unpinned packages (megatron-core)

    SKILL.md:23 · skill_risk:S2

Versions

Version history

Each distinct content we have seen, newest first, with the verdict it got at the time.

One version so far: v1 (1.0.0), seen 2026-11-03.

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