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code-world-model

Code World Model Official Repo

buaacyw
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README

Code World Model:

Coding Agent as World Brain

Yiwen Chen1,2
  ·  
Guosheng Lin2
  ·  
Chi Zhang1

1 AGI Lab, Westlake University
    
2 Nanyang Technological University

Project Page
  |  
arXiv

https://github.com/user-attachments/assets/4c13c5fb-ab45-4a0e-9e59-b85499ef7390

Quick start

  1. Follow the environment and installation guide.
  2. From the repository root, download the public
    CWM LoRA
    and deterministically expand the
    40 compact Hugging Face examples:
./scripts/install_release_assets.sh "$PWD/release"
  1. Enter the prepared release directory and run a released configuration
    without changing its inputs, prompts, or seed:
cd release
CONFIG=examples/example_01/config.json
python -m cwm_h3_inference validate --config "$CONFIG"
CUDA_VISIBLE_DEVICES=0 python -m cwm_h3_inference prepare --config "$CONFIG"
CUDA_VISIBLE_DEVICES=0 python -m cwm_h3_inference generate --config "$CONFIG"

Use a new cache directory and output path for every changed experiment.
The Hugging Face examples contain compact NPZ conditions, not caches or output
videos; the installation script performs the required local format expansion.

Documentation