Launched this week
TuneKit

TuneKit

Fine-tune SLMs 2x faster, for free

88 followers

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!
TuneKit gallery image
TuneKit gallery image
Free
Launch Team / Built With
Migma AI
Migma AI
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Promoted

What do you think? …

Riyanshi Bohra
Got sick of spending hours on fine-tuning setup every single time. Which model? What learning rate? LoRA rank? Batch size? Then writing the training script... Built TuneKit to handle all of it: - Upload JSONL → analyzes your data - Recommends best model for your task - Optimizes all hyperparameters - Generates ready-to-run Colab notebook - Train on free T4 (~15 min) - Export to GGUF/HuggingFace/LoRA Supports Llama 3.2, Phi-4, Mistral, Qwen, Gemma.
Phuc Doan

Congratulations on the TuneKit launch. Making fine-tuning models fast and free without needing GPUs, scripts, or complex setup is incredibly thoughtful. This feels like a big help for anyone working with SLMs. Wishing you great momentum today.

Riyanshi Bohra

@ngocphuc_1910 Thank you so much Phuc!

Riyanshi Bohra

Wow, we hit #19 trending today! Thanks for the support everyone 🙏