In simple English
Building and running custom artificial intelligence models usually requires writing complex code for data preparation, training loops, and server setup. Oumi brings all these steps together into a single tool with ready-to-use configuration files. You can fine-tune popular open-source language models on your own data, test how well they perform, and deploy them on your own servers or cloud platforms. It saves you from writing repetitive code and managing multiple disjointed libraries. The software is free to use under an open-source licence, but running large models requires expensive computer hardware with graphics cards.
What it is
Oumi is a Python library and command-line tool that handles the entire lifecycle of large language models and vision-language models. It provides a unified interface for supervised fine-tuning, preference alignment, reinforcement learning, evaluation, and inference.
What it is good for
Solo builders and researchers who want to fine-tune open-source models like Llama or Qwen on custom datasets without writing infrastructure code from scratch.
- Unified workflow for training, evaluation, inference, and data synthesis.
- Supports a wide variety of popular model families and hardware backends.
- Ready-to-use configuration recipes for common training tasks.
- Requires powerful graphics cards with significant RAM to train or run large models.
- Complex dependency stack with PyTorch and machine learning libraries.
- Advanced features and distributed training setups can be difficult to debug.
Writing custom training scripts with Hugging Face Transformers and TRL
vLLM
- unslothai/unsloth78k stars
Focuses on fast and memory-efficient fine-tuning of language models using optimized kernels.
- huggingface/trl20k stars
Provides building blocks for training transformer language models with reinforcement learning and supervised fine-tuning.
- ggml-org/llama.cpp132k stars
A C and C++ library and command-line tool for running language models locally.
- EleutherAI/lm-evaluation-harness14k stars
Runs standard question sets against a language model and reports the scores.
- mudler/LocalAI50k stars
Serves text, vision, speech, image and video models from one self-hosted service that imitates the paid interfaces.
uv pip install 'oumi[gpu]'