Home / Research / Foundation Models
◇// RESEARCH CENTER

Center for Foundation Models

Training and understanding large multimodal systems on our own compute.

70BLargest model
22Researchers
2 PFLOPSDedicated compute
01 / OVERVIEW

About the center

The Foundation Models center trains large language and multimodal systems end to end, studying how capabilities emerge with scale, data and architecture.

Our models and datasets are released openly for the research community.

// FOCUS AREAS
  • Pre-training at scale
  • Multimodal learning
  • Data curation
  • Efficiency & distillation
  • Emergent capabilities
02 / PEOPLE

Research leadership

SL

Dr. Sara Lindqvist

Director
OH

Dr. Omar Haddad

Principal Investigator
WC

Dr. Wei Chen

Research Fellow
03 / PROJECTS

Flagship projects

◇

Open multimodal model

A 70B model trained on the AI Supercomputer Lab.

◇

Scaling laws

Predicting capability from compute and data.

◇

Efficient inference

Serving large models affordably.

04 / PUBLICATIONS

Selected publications

Emergent Abilities Do Not Require Scale Alone
Lindqvist, Haddad, ChenNeurIPS 2025
312cites
A 70B Open Multimodal Foundation Model
Lindqvist et al.arXiv 2026
178cites
Data Curation Laws for Pre-Training
Haddad, ChenICML 2026
64cites
05 / RELATED

Related centers

// FOUNDATION MODELS

Work with the Foundation Models center.

Collaborate on research, join as a student, or partner with us.