Simpo Training
This is a Claude Code skill that helps you set up SimPO (Simple Preference Optimization), a reference-free preference optimization method for training language models. It's an alternative to DPO that skips the reference model entirely, which can save memory and compute. The skill appears to wrap setup instructions from the Hugging Face alignment-handbook, walking you through conda environment creation and PyTorch installation. You'd reach for this if you're doing RLHF work and want to experiment with preference optimization approaches. With 277 installs and passing most security audits, it's seeing real use, though the skill description itself is pretty bare bones compared to the underlying technique.
- skills.sh installs
- 273
- GitHub stars
- 33.2K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add davila7/claude-code-templates --skill simpo-training --agent claude-codeInstalls into .claude/skills of the current project.
Files
This is a Claude Code skill that helps you set up SimPO (Simple Preference Optimization), a reference-free preference optimization method for training language models. It's an alternative to DPO that skips the reference model entirely, which can save memory and compute. The skill appears to wrap setup instructions from the Hugging Face alignment-handbook, walking you through conda environment creation and PyTorch installation. You'd reach for this if you're doing RLHF work and want to experiment with preference optimization approaches. With 277 installs and passing most security audits, it's seeing real use, though the skill description itself is pretty bare bones compared to the underlying technique.
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- Repository
- github.com/davila7/claude-code-templates
- Categories
- AI & Agent Building, Debugging
- First seen
- Jun 3, 2026
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