TuneSalon AI is a platform that makes LLM fine-tuning accessible to everyone. Whether you're a domain expert, a small business, or just someone who wants a custom AI model. You don't need to be a developer to make it happen.
Fine-tuning LLMs today requires Python, PyTorch, CUDA setup, dataset formatting, hyperparameter tuning, and GPU access. That locks out 99% of people who could actually benefit from custom AI models.
TuneSalon handles all of that for you. You describe what you want, and the platform takes care of the rest.
Don't have a dataset? No problem. Describe the AI assistant you want to build, optionally upload reference documents, and TuneSalon's dataset generator creates training examples for you. Built-in quality checks and AI-powered review help you refine the data before training.
Pick a base model, upload your dataset, and hit Start Training. TuneSalon runs LoRA fine-tuning on NVIDIA A100 (80GB) or B200 (180GB) GPUs in the cloud. You see cost estimates before confirming, and training progress in real time.
Test your fine-tuned model instantly. Load a base model, attach up to 5 adapters, upload reference documents, and chat, all within the platform. No deployment setup needed.
Save adapters to your cloud library, download the .adapter file, or export as a quantized GGUF ready to run locally with Ollama, LM Studio, or any GGUF-compatible tool such as TuneSalon desktop.
Share or sell your fine-tuned adapters on the TuneSalon marketplace. Browse adapters created by others.
All models are open-source with permissive licenses (Apache 2.0 / MIT):
Tiny–Large models run on A100 (80GB). Extra Large models require B200 (180GB).
TuneSalon uses a simple credit system. You always see estimated costs before confirming any action. Welcoming signup bonus included. Pro ($29/mo) and Max ($69/mo) plans available for heavier usage.