News · Institute of Foundation Models (MBZUAI) · 2 min read
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MBZUAI's Institute of Foundation Models releases PAN 2 world model
The Institute of Foundation Models at MBZUAI released PAN 2, a 29-billion-parameter open-weight world model, on November 10, 2026, aimed at robotics and agent planning.
The Institute of Foundation Models (IFM) at MBZUAI released PAN 2, a 29-billion-parameter open-weight world model, on November 10, 2026. The model takes an image and a text description of an action and simulates the resulting video, aimed at robotics and agent planning.
What changed
- PAN 2 is a 29-billion-parameter open-weight world model using a Generative Latent Prediction architecture.
- It couples an LLM for conceptual reasoning with a multimodal diffusion transformer for perceptual reasoning, using a Qwen3.5-9B text encoder and a Wan 2.2 VAE decoder.
- Weights, training code and inference code are released under the Apache 2.0 license.
- It takes an optional image plus a text description of an action as input and outputs a simulated video.
- Output video is 704x1248 resolution at 24 frames per second, for up to 20 seconds (481 frames).
- Weights are released in BF16 precision, with same-day inference support via the vllm-omni-pan2 framework.
Why it matters for builders
IFM frames PAN 2 as a next-world predictor: a model for simulating the outcomes of actions rather than generating video for its own sake. Because the weights, training code and inference code are released under Apache 2.0, robotics and agent developers can use and modify a large-scale world model without relying on closed research from other labs. IFM evaluated PAN 2 with human preference tests and a six-capability physics-accuracy benchmark covering 300 test cases, giving builders evidence beyond visual quality alone when judging whether its simulated outcomes are reliable enough for planning tasks.
Availability
PAN 2 is available now on Hugging Face and in the PAN 2 GitHub repository, with weights published in BF16 precision. Same-day inference support ships through the vllm-omni-pan2 framework, so the model can be run for action simulation as soon as it is downloaded.
Sources
- IFM/PAN2 (Hugging Face / Institute of Foundation Models, November 10, 2026, official)
- ifm-ai/PAN2 (GitHub / Institute of Foundation Models, official)
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