Hala X Uni Trainer - Train AI models locally without Jupyter or CLI.

Train computer vision models, fine-tune LLMs, and run real AI pipelines locally - without Jupyter or CLI chaos. Uni Trainer is a desktop AI training environment with visual pipelines, local GPU support, LoRA/QLoRA fine-tuning, and built-in evaluation tools. Data → Train → Evaluate → Deploy. Built for developers who want control without glue code.

Hey Product Hunt 👋 I’m the founder of **Uni Trainer**. I didn’t build this because I wanted to invent a new model. I built it because I was tired of writing glue code. Most ML engineers don’t spend their time on research. They spend it on: • Config files that drift • Training scripts that break • Notebook cells that depend on execution order • Debugging GPUs instead of training models The model isn’t the hard part. Everything around it is. So I started building a local-first desktop environment where AI training actually feels like using a product - not stitching together scripts. Uni Trainer lets you: • Train computer vision models • Train Tabular ML • Train SLM • Fine-tune LLMs (LoRA / QLoRA) • Run real training (not simulations) • Compare runs and evaluate outputs All without Jupyter chaos or CLI gymnastics. It’s still early, and I’m actively iterating based on feedback. If you’re building with AI: What’s the most frustrating part of your training workflow right now? I’d love to hear it 👇

Hala X Uni Trainer - Train AI models locally without Jupyter or CLI.

Replies