CWM (Code World Model) is a 32-billion-parameter open-weights language model. It is developed by Meta for enhancing code generation and reasoning about programs. It is explicitly trained on execution traces, action-observation trajectories, and agentic interactions in controlled environments. It has been developed to better capture how code, actions, and state interact over time. The repository provides inference code, reproducibility scripts, prompt guides, and more. It has model cards, utilities, demos, and evaluation artifacts. Inference scripts and utilities for code generation tasks. Evaluation benchmarks on code, mathematics, and reasoning tasks. Demos, serving code, and evaluation pipelines.

Features

  • Pretrained and fine-tuned model weights (base, SFT, instruction-tuned)
  • Inference scripts and utilities for code generation tasks
  • Prompting guide and example prompt templates
  • Demos, serving code, and evaluation pipelines
  • Evaluation benchmarks on code, mathematics, and reasoning tasks
  • Reproducibility / environment setup scripts (conda, etc.)

Project Samples

Project Activity

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License

BSD License

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Additional Project Details

Programming Language

Python

Related Categories

Python Large Language Models (LLM), Python AI Coding Tool, Python AI Models

Registered

2025-09-26