TuneKit
Fine-tune SLMs 2x faster, for free
What it does
Fine-tuning SLMs the way I wish it worked. I got tired of the fine-tuning setup nightmare, so I built TuneKit: upload your data, get a notebook, and train free on Colab. No GPUs to rent. No scripts to write. No cost. Just results. Try it out at https://tunekit.app/ or check out the code on GitHub at https://github.com/riyanshibohra/TuneKit. Free and open source: let me know if it's useful!
Does a similar job
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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!
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