CyberAgentAILab/Consensus-GRPO

Python

5

1 commits

updated Feb 3, 2026

See the code

README

Consensus Group Relative Policy Optimization for Text Generation

Scripts for MBR/C-GRPO experiments.

The experiments conducted using NVIDIA A100 GPUs with 80 GB of VRAM.

Structure

  • src/: main training/evaluation code
  • scripts/: runnable shell scripts
  • data/: data prep and utilities
  • dataset/: dataset directory (after download/creation)

Usage

  • Python 3.12
  • cuda:12.6.1-devel-ubuntu22.04
  1. Install dependencies
bash scripts/setup.sh
  1. Run
bash scripts/run_c_grpo.sh

Use scripts/run_mbr.sh for using MBR decoding. You can edit arguments at the top of each script.

C-GRPO

CyberAgentAILab/Consensus-GRPO

Python

5

1 commits

updated Feb 3, 2026

See the code

README

Consensus Group Relative Policy Optimization for Text Generation

Scripts for MBR/C-GRPO experiments.

The experiments conducted using NVIDIA A100 GPUs with 80 GB of VRAM.

Structure

  • src/: main training/evaluation code
  • scripts/: runnable shell scripts
  • data/: data prep and utilities
  • dataset/: dataset directory (after download/creation)

Usage

  • Python 3.12
  • cuda:12.6.1-devel-ubuntu22.04
  1. Install dependencies
bash scripts/setup.sh
  1. Run
bash scripts/run_c_grpo.sh

Use scripts/run_mbr.sh for using MBR decoding. You can edit arguments at the top of each script.

C-GRPO