The latest articles on DEV Community by Riyanshi Bohra (@riyanshi_bohra_d49a0edf3c). https://dev.to/riyanshi_bohra_d49a0edf3c https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3703234%2Fa13a0576-1312-490a-9dac-9e5a4d55939e.jpg https://dev.to/riyanshi_bohra_d49a0edf3c en Riyanshi Bohra Fri, 09 Jan 2026 22:03:28 +0000 https://dev.to/riyanshi_bohra_d49a0edf3c/i-built-tunekit-to-escape-fine-tuning-hell-trending-19-on-product-hunt-today-1amp https://dev.to/riyanshi_bohra_d49a0edf3c/i-built-tunekit-to-escape-fine-tuning-hell-trending-19-on-product-hunt-today-1amp <p><strong><a href="https://www.youtube.com/watch?v=5zIAY3JAEK8" rel="noopener noreferrer">Watch the 2-minute demo on YouTube!</a></strong></p> <h2> The problem I was tired of solving </h2> <p>Every time I wanted to fine-tune a small language model, I'd spend <strong>2-3 hours</strong> on the same boring setup:</p> <ul> <li>Which model fits my data? Llama? Phi? Mistral?</li> <li>What hyperparameters should I use?</li> <li>How do I set up LoRA without breaking something?</li> <li>Why is my Colab crashing again?</li> </ul> <p>I got tired of it. So I built <strong>TuneKit</strong> to automate the entire thing.</p> <h2> What TuneKit does </h2> <h3> Three steps. That's it. </h3> <ol> <li> <strong>Upload your data</strong> (JSONL file)</li> <li> <strong>AI picks the best model</strong> (Llama 3.2, Phi-4, Mistral, Qwen, Gemma)</li> <li> <strong>Get a ready-to-run Colab notebook</strong> → Hit "Run All" → trained model in ~15 minutes</li> </ol> <p>No coding. No guessing. <strong>No cloud bills.</strong></p> <h2> The tech stack </h2> <p><strong>Unsloth</strong> - 2x faster training (this is the secret sauce)<br> <strong>Google Colab's free T4 GPU</strong> - No credit card needed<br> <strong>Smart model selection</strong> - Analyzes your task type and data patterns<br> <strong>LoRA fine-tuning</strong> - Auto-optimized configs</p> <h2> Why it matters </h2> <blockquote> <p>Fine-tuning shouldn't require a PhD or a $300/month GPU bill.</p> </blockquote> <p>The tools exist (Unsloth is incredible), but the setup is still a nightmare for most developers.</p> <p>TuneKit wraps all of that complexity into a UI that <strong>just works</strong>.</p> <h2> Launch day 🚀 </h2> <p>We hit <strong>#19 on Product Hunt today</strong>.</p> <p>The response has been wild. Turns out a lot of people have the same fine-tuning frustration I had.</p> <h3> Try it: </h3> <p>🔗 <strong>Live:</strong> <a href="https://tunekit.app/" rel="noopener noreferrer">tunekit.app</a></p> <p>💻 <strong>GitHub:</strong> <a href="https://github.com/riyanshibohra/TuneKit" rel="noopener noreferrer">github.com/riyanshibohra/TuneKit</a></p> <p>🏆 <strong>Product Hunt:</strong> <a href="https://www.producthunt.com/products/tunekit" rel="noopener noreferrer">Product Hunt</a></p> <h2> What's next </h2> <ul> <li>More models support</li> <li>Advanced hyperparameter tuning for power users</li> <li>Direct deployment options (GGUF for Ollama, HuggingFace Hub)</li> </ul> <h2> Your turn </h2> <p>If you've ever spent hours setting up fine-tuning, give TuneKit a shot. Would love your feedback.</p> <p><strong>What do you use for fine-tuning? Any features you'd want to see?</strong> 👇</p> <p><em>P.S. Shoutout to the @unslothai team - their optimization makes this entire project possible.</em></p> machinelearning ai opensource webdev