How does this help with dataset preparation?

The skill offers best practices for formatting and loading datasets compatible with LLaMA-Factory and HuggingFace standards, ensuring smooth data ingestion.

Can I use this skill for no-code fine-tuning?

Yes, the skill provides comprehensive guidance for using the LLaMA-Factory WebUI, enabling no-code fine-tuning for various tasks.

Which models are supported by this LLaMA-Factory skill?

It supports over 100 models, including the Llama series, Qwen, Gemma, Mistral, and various multimodal models.

Does it support low-memory training techniques?

Absolutely. It includes patterns for implementing 2/3/4/5/6/8-bit QLoRA and LoRA to significantly reduce VRAM requirements during training.

LLaMA-Factory Fine-Tuning

Name: LLaMA-Factory Fine-Tuning
Author: Orchestra-Research

byOrchestra-Research

•

3,983

•

数据科学与机器学习

Streamlines the fine-tuning of 100+ large language models using LLaMA-Factory with support for QLoRA and multimodal architectures.

This skill provides expert guidance for fine-tuning large language models (LLMs) using the LLaMA-Factory framework. It facilitates the implementation of advanced training techniques like 2/3/4/5/6/8-bit QLoRA and LoRA across a massive library of over 100 models, including Llama, Qwen, and Gemma. Whether you are using the no-code WebUI or command-line scripts, this skill helps you manage datasets, configure training parameters, troubleshoot PEFT implementations, and optimize multimodal performance for production-grade AI research.

主要功能

01Expert implementation of 2/3/4/5/6/8-bit QLoRA and LoRA for memory-efficient training

02Dataset integration support for HuggingFace and custom local data formats

033,983 GitHub stars

04Advanced troubleshooting for training pipelines, dependencies, and model quantization

05Support for fine-tuning 100+ LLMs and multimodal models including Llama 3, Qwen, and Gemma

06Guidance for both no-code WebUI and CLI-based training workflows

使用场景

01Fine-tuning a Llama 3 model on domain-specific proprietary datasets

02Implementing memory-efficient training with QLoRA for consumer-grade GPU hardware

03Configuring multimodal fine-tuning pipelines for visual-language tasks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

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

For use in Claude.ai and ChatGPT

Download Skill