Axolotl Fine Tuning Skill
Skill Verifiziert AktivExpert guidance for fine-tuning LLMs with Axolotl - YAML configs, 100+ models, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, multimodal support
To provide expert assistance and comprehensive documentation for users working with the Axolotl LLM fine-tuning framework.
Funktionen
- Expert guidance on Axolotl fine-tuning
- Covers YAML configurations and 100+ models
- Details LoRA/QLoRA and DPO/KTO/ORPO/GRPO methods
- Includes multimodal support information
- Provides usage examples and dataset format details
Anwendungsfälle
- Learning to fine-tune LLMs with Axolotl
- Implementing Axolotl solutions and debugging
- Understanding Axolotl features and APIs
- Applying best practices for LLM fine-tuning
Nicht-Ziele
- Directly executing LLM training jobs
- Providing pre-trained models
- Replacing the official Axolotl documentation entirely
Trust
- info:Issues Attention17 issues opened and 4 closed in the last 90 days. The closure rate is low, indicating potential delays in issue resolution.
Installation
npx skills add davila7/claude-code-templatesFührt das Vercel skills CLI (skills.sh) via npx aus — benötigt Node.js lokal und mindestens einen installierten skills-kompatiblen Agent (Claude Code, Cursor, Codex, …). Setzt voraus, dass das Repo dem agentskills.io-Format folgt.
Qualitätspunktzahl
VerifiziertVertrauenssignale
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