dgx-spark-playbooks/skills/dgx-spark-llama-factory/SKILL.md
Jason Kneen a680d0472b feat: scaffold skills plugin from DGX Spark playbooks
Adds a Claude Code plugin structure that exposes each NVIDIA DGX Spark
playbook as a triggerable skill, with an index skill ('dgx-spark') that
routes users to the right leaf based on intent and encodes the
relationship graph between playbooks (prerequisites, alternatives,
composes-with, upgrade paths).

Structure:
- overrides/*.md       hand-curated frontmatter + Related sections
- scripts/generate.mjs zero-dep Node generator: nvidia + overrides → skills
- scripts/install.sh   symlinks skills into ~/.claude/skills (--plugin mode available)
- skills/              committed, browsable, installable without Node
- .github/workflows/   auto-regenerates skills/ when playbooks/overrides change

Initial curated leaves: ollama, open-webui, vllm, connect-to-your-spark.
Remaining 37 leaves use generator fallback (title + tagline + summary
extracted from README) and can be curated incrementally via overrides/.
2026-04-19 10:22:08 +01:00

23 lines
1.1 KiB
Markdown

---
name: dgx-spark-llama-factory
description: Install and fine-tune models with LLaMA Factory — on NVIDIA DGX Spark. Use when setting up llama-factory on Spark hardware.
---
<!-- GENERATED:BEGIN from nvidia/llama-factory/README.md -->
# LLaMA Factory
> Install and fine-tune models with LLaMA Factory
LLaMA Factory is an open-source framework that simplifies the process of training and fine
tuning large language models. It offers a unified interface for a variety of cutting edge
methods such as SFT, RLHF, and QLoRA techniques. It also supports a wide range of LLM
architectures such as LLaMA, Mistral and Qwen. This playbook demonstrates how to fine-tune
large language models using LLaMA Factory CLI on your NVIDIA Spark device.
**Outcome**: You'll set up LLaMA Factory on NVIDIA Spark with Blackwell architecture to fine-tune large
language models using LoRA, QLoRA, and full fine-tuning methods. This enables efficient
model adaptation for specialized domains while leveraging hardware-specific optimizations.
**Full playbook**: `/Users/jkneen/Documents/GitHub/dgx-spark-playbooks/nvidia/llama-factory/README.md`
<!-- GENERATED:END -->