README.md

November 17, 2025 ยท View on GitHub

Quick Inference Demo

  1. Initialize the environment
    Run the environment setup script to install necessary dependencies:
    bash init_env.sh
    
  2. Run the demo script
    Execute the demo script to test LLaDA-V on an example image:
    python generate_demo.py
    

Evaluation

We provide the evaluation code in this repository, following the lmms-eval library.

  1. Initialize the environment
    Run the environment setup script to install necessary dependencies:
    bash init_env.sh
    
  2. Run the demo script
    Execute the demo script to test RedVTP-LLaDA-V on an example image:
    cd eval && bash scripts/evaluate.sh
    
  3. Modify the retaining ratio Change the ratio at line 1546 in RedVTP-LLaDA-V/train/llava/model/language_model/modeling_llada.py:
    keep_ratio = 0.50