GPT-J 20B (GGUF) – Simple Chat Notebook
This repository provides a Google Colab-ready notebook to run the open-source GPT-J 20B model in quantized GGUF format. It’s designed for students and researchers who need low-cost, no-UI access to a large LLM for experiments.
Features
Open-source model: GPT-J 20B (quantized by TheBloke)
Quantized GGUF weights for reduced size and faster loading (about ~8GB)
No UI or API server: Simple terminal chat loop in Colab
Runs on Google Colab T4 GPU (or CPU fallback if GPU not available)
Free for students: Uses Colab’s free daily GPU quota
Run all cells step by step:
Installs llama-cpp-python and huggingface-hub.
Optional: Login to Hugging Face if the repo is gated.
Downloads the GGUF weights automatically from TheBloke/GPT-J-20B-GGUF
Loads the model into memory.
Start chatting in the terminal:
Type your question in the prompt.
Type exit to quit the session.
No UI required – all interaction happens in the notebook’s output cell.
Requirements
Google account (to access Google Colab)
Hugging Face account (optional for private models)
Colab free tier T4 GPU recommended for faster inference
Notes
Model size: Quantized GGUF file (~8GB). Make sure your Colab session has enough RAM (12GB+).
Performance: Expect slower responses on CPU-only sessions.
Educational use: This repo is free to use and share for learning and research purposes.