sft-launch
sft-launch is a Fine-tuning & training data skill for AI agents, published by open-thoughts in the OpenThoughts-Agent repository on GitHub. Skillspace rates sft-launch D (55/100) and it passed the safety scan; the rating is based on static analysis only.
Launch SFT via `python -m hpc.launch --job_type sft` on any cluster (JSC Jupiter GH200, CINECA Leonardo A100, TACC Vista GH200), with EITHER backend — LLaMA-Factory (default) or axolotl (`--sft_backend axolotl`) — including Delphi tool-calling models (delphi template, tokenizer prep, jinja-as-ground-truth masking). This skill is the cluster-AGNOSTIC core (backend choice, Delphi handling, config maps, node-scaling, dataset mixing, cleanup recognition, common traps). Per-cluster particulars (preamble, paths, QOS/wall, sbatch patches, no-internet handling, HF-upload mechanics) live in `.claude/ops/<cluster>/ops.md §SFT`. Use when asked to SFT / launch a finetune / train a model on Jupiter, Leonardo, or TACC. Reference: notes/ot-agent/sft_experiments.md, CLAUDE.md.
- Grade
- D
- Quality
- 55 / 100
- Safety
- Passed
- GitHub stars
- 259
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
- 84 / 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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