run-post-training-sample
run-post-training-sample is a Model training & evaluation skill for AI agents, published by nv-tlabs in the omni-dreams repository on GitHub. Skillspace rates run-post-training-sample D (65/100) and it passed the safety scan; the rating is based on static analysis only.
Bring up the OmniDreams post-training sample and run/report the E1, E2, and E3 release experiments on 8-256 H100 GPUs. Use when validating samples/post-training, Slurm or torchrun launches, FSDP/CP scaling, finite-loss smoke tests, or post-training environment setup.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 280
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 90 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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