IFM Releases PAN 2, a 29B-Parameter World Model for Simulative Reasoning
·2026.11.11 15:56
Key point
The model couples a Qwen3.5-9B language model with a 29B MMDiT diffusion backbone to predict video outcomes of actions.
Details
- IFM released PAN 2, a general-purpose world model that simulates how the world changes in response to actions by generating video of up to 20 seconds.
- The architecture uses a 29B-parameter MMDiT as the perceptual reasoning backbone, trained from scratch on hundreds of millions of videos, alongside a Qwen3.5-9B text encoder and Wan 2.2 VAE.
- PAN 2 supports simulative reasoning, allowing agents to imagine outcomes of candidate actions before choosing among them.
- The diffusion backbone is released as a single BF16 checkpoint supporting text-to-video and image-to-video tasks at 704x1248 resolution and 24 fps.
This summary was generated automatically by AI. Check the original for the author's claims and context. Copyright belongs to the original author.
Our guide explains how the AI works. Report summary errors, attribution issues, or removal requests via Contact.