Monostate AItraining – Unified CLI for fine-tuning, RL, and inference

Summary: Monostate AItraining is a CLI tool for fine-tuning large language and machine learning models with automatic dataset conversion, hyperparameter sweeps, and custom reinforcement learning environments. It supports multiple training methods and hardware optimizations, enabling local testing and iteration across platforms.

What it does

It guides users through model selection, dataset conversion (auto-detecting six formats), and training configuration, supporting SFT, DPO, ORPO, PPO, reward modeling, and knowledge distillation. The tool detects hardware like Apple Silicon or CUDA and optimizes accordingly.

Who it's for

Developers and researchers fine-tuning ML models who need a unified CLI that handles diverse hardware and training workflows.

Why it matters

It reduces time spent on boilerplate and hardware compatibility issues, streamlining model iteration and local testing.