Oumi: Streamlining Open-Source LLM/VLM Fine-tuning, Evaluation, and Deployment

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Oumi: A Streamlined Workflow for Open-Source LLM/VLM Fine-tuning, Evaluation, and Deployment

In the rapidly evolving landscape of Artificial Intelligence, managing and deploying Large Language Models (LLMs) and Vision-Language Models (VLMs) can be a complex undertaking. Oumi aims to simplify this process by offering a unified, scalable workflow for developers and researchers working with open-source models.

Key Features and Benefits:

Effortless Fine-tuning: Adapt and customize models like GPT-OSS, Qwen3, and DeepSeek-R1 to your specific needs with an intuitive fine-tuning process.
Comprehensive Evaluation: Accurately assess model performance and capabilities through robust evaluation tools.
Scalable Deployment: Transition your models from development to production seamlessly with a scalable deployment infrastructure.
Open-Source Focus: Oumi is designed to empower the open-source AI community, providing accessible tools and fostering collaboration.

Whether you are building the next generation of AI applications or pushing the boundaries of research, Oumi provides the framework to accelerate your development cycle.