AI/ML Model Finetuning Framework
3.8k 2026-04-18
mymusise/ChatGLM-Tuning
A cost-effective solution for fine-tuning ChatGLM-6B using LoRA, enabling personalized large language models.
Core Features
LoRA-based fine-tuning for ChatGLM-6B
Supports Alpaca dataset preprocessing and training
Provides pre-trained LoRA models for immediate inference
Resource-efficient (>= 16GB VRAM)
Colab notebooks for easy experimentation
Quick Start
pip3 install -r requirements.txtDetailed Introduction
This project offers an affordable and accessible method to customize large language models by leveraging the ChatGLM-6B base model with the LoRA (Low-Rank Adaptation) technique. It provides a complete workflow from data preprocessing (e.g., Alpaca dataset) to model training and inference, making it possible for individuals and small teams to build specialized LLMs without extensive computational resources. By offering pre-trained LoRA weights and Colab examples, it significantly lowers the barrier to entry for developing domain-specific or personalized ChatGPT-like capabilities.