I did a new user evaluation.

Problem: I have a 8 or 31 billion feature model to finetune like https://huggingface.co/huihui-ai/Huihui-Qwen3-VL-30B-A3B-Ins... or https://huggingface.co/huihui-ai/Huihui-Qwen3-VL-8B-Instruct...

1. finetunedb.com supports meta, mistral and openai 2. tinytune supports DeepSeek, Google, Meta, Mistral, OpenAI, Qwen and Teknium

Fine tune db doesn't do qwen3 so it fails.

Thank you so much! And thank you for your question.

Yes, so to answer it, the idea of TinyTune was to literally be "tiny", i.e., very simple to use. It (mostly) takes 3 steps + some waiting time and you have a custom model. I found other services to be a bit more difficult to use.

And yes, I also agree with iFire's findings that another big difference is the number of models that are available. But the main differentiator with other similar services would definitely be the focus on its ease of use.

I should say that FinetuneDB seems like a solid competitor though!