davila7/claude-code-templates
peft-fine-tuning
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need…
Installation
npx skills add https://github.com/davila7/claude-code-templates
Similar popular skills
Related neighbors and high-traction skills in the same topics — useful to compare before installing.
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuni…
771 installsTop-level workflow skill for USD performance diagnosis and optimization. Handles slow loading, …
2.1K installsTechniques for reducing peak GPU memory in Megatron Bridge — expandable segments, PEFT + SP inp…
1.8K installsUse when adding, modifying, optimizing, or debugging CuTile autotuning code.
1.5K installsOptimize vector index performance for latency, recall, and memory. Use when tuning HNSW paramet…
9.4K installsAgent Platform Model Tuning. Use when you need to fine-tune open models or Gemini models using …
6K installsAlso in this package
Other skills from davila7/claude-code-templates · top by installs.
npx skills add https://github.com/davila7/claude-code-templates
More details
Agent compatibility
Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.
Repository health
main
Skill metadata
Parsed from SKILL.md frontmatter.
History
- First seen on skills.sh
- First recorded snapshot · 387 installs