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!
Finetune LLaMA-7B on commodity GPUs using your own text launched on March 22, 2023 with 449 votes, #42 of 5,007 launches that month and more than 99% of that year's launches. The site was still online in September 2026, 3 years on.
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
From the sources
Simple UI for LLM Model Finetuning. Contribute to lxe/simple-llm-finetuner development by creating an account on GitHub.
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