Finetune LLaMA-7B on commodity GPUs using your own text
I've been playing around with https://github.com/zphang/minimal-llama/ and https://github.com/tloen/alpaca-lora/blob/main/finetune.py, and wanted to create a simple UI where you can just paste text, tweak the parameters, and finetune the model quickly using a modern GPU. To prepare the data, simply separate your text with two blank lines. There's an inference tab, so you can test how the tuned model behaves. This is my first foray into the world of LLM finetuning, Python, Torch, Transformers, LoRA, PEFT, and Gradio. Enjoy!
In plain words
This tool provides a simple interface for fine-tuning LLaMA-7B language models on standard GPUs. Users paste their own text, separated by double line breaks, adjust parameters, and run the fine-tuning process through a web UI. An inference tab lets users test the resulting model's behavior before deployment. Built with Gradio, it streamlines the fine-tuning workflow for developers and researchers working with open-source large language models.
written from the facts on this page · September 2026
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