Peft Fine Tuning
If you're fine-tuning large language models on limited hardware, this gives you the PEFT toolkit with LoRA, QLoRA, and over 25 adapter methods. The pitch is simple: train less than 1% of parameters and get 6MB adapters instead of dealing with 14GB full models. You can run 7B-70B models on consumer GPUs like an RTX 4090, or even squeeze 70B models onto a single 24GB card with QLoRA if you're willing to accept a small quality tradeoff. Originally from zechenzhangagi's AI research skills collection, it's built for fast iteration when you need multiple task-specific adapters from one base model. Over 380 installs so far.
- skills.sh installs
- 378
- GitHub stars
- 33.2K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add davila7/claude-code-templates --skill peft-fine-tuning --agent claude-codeInstalls into .claude/skills of the current project.
Files
If you're fine-tuning large language models on limited hardware, this gives you the PEFT toolkit with LoRA, QLoRA, and over 25 adapter methods. The pitch is simple: train less than 1% of parameters and get 6MB adapters instead of dealing with 14GB full models. You can run 7B-70B models on consumer GPUs like an RTX 4090, or even squeeze 70B models onto a single 24GB card with QLoRA if you're willing to accept a small quality tradeoff. Originally from zechenzhangagi's AI research skills collection, it's built for fast iteration when you need multiple task-specific adapters from one base model. Over 380 installs so far.
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- Repository
- github.com/davila7/claude-code-templates
- Category
- Data Science & ML
- First seen
- Jun 3, 2026
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