Is it suitable for beginners?

Yes, it includes guidance for both the user-friendly no-code WebUI interface and advanced script-based training for experienced researchers.

What models does this skill support?

It supports over 100 models including popular architectures like Llama, Qwen, Gemma, Mistral, and many others available on HuggingFace.

Can I use this for low-memory fine-tuning?

Yes, the skill provides specific guidance for memory-efficient training using 2-bit to 8-bit QLoRA techniques to fit large models on consumer hardware.

Does it support multimodal models?

Absolutely, it includes documentation and patterns for fine-tuning models that handle both text and visual data.

How do I trigger this skill in Claude Code?

This skill is automatically triggered when you ask about LLaMA-Factory features, implementation, debugging, or general LLM fine-tuning workflows.

LLaMA Factory Fine-Tuning

Name: LLaMA Factory Fine-Tuning
Author: zechenzhangAGI

byzechenzhangAGI

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384

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데이터 과학 및 ML

Streamlines the fine-tuning process for over 100 large language models using the LLaMA-Factory framework and QLoRA techniques.

This skill provides comprehensive assistance for fine-tuning large language models (LLMs) via the LLaMA-Factory toolkit, offering expert guidance on no-code WebUI setups and advanced command-line implementations. It supports a vast library of 100+ models and efficient training methods like QLoRA and multimodal support, enabling developers to build specialized AI agents, optimize model performance, and troubleshoot complex training pipelines directly within their Claude Code workflow.

주요 기능

01Support for efficient fine-tuning techniques like 2/3/4/5/6/8-bit QLoRA and LoRA

02Comprehensive debugging and best practices for LLM optimization and deployment

03Expert guidance for 100+ supported LLMs including Llama, Qwen, and Gemma

04Guidance on multimodal model training and complex dataset preparation

05Step-by-step assistance for both WebUI no-code and API-based configurations

06384 GitHub stars

사용 사례

01Fine-tuning a Llama-3 model for specialized domain knowledge using QLoRA

02Setting up a multimodal training pipeline for vision-language models

03Troubleshooting hyperparameter settings and performance bottlenecks in LLaMA-Factory

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add zechenzhangagi/ai-research-skills llama-factory

For use in Claude.ai and ChatGPT

Download Skill