YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/model-cards#model-card-metadata)

Multi-Agent MMLU Review Board

This repository contains a multi-agent debate and consensus framework evaluated on the MMLU benchmark.

The system runs multiple agents using the same base LLM with different temperatures, iteratively sharing reasoning across rounds and producing a consensus answer via majority vote.

Features

  • Configurable number of agents and debate rounds
  • Supports Hugging Face Transformers pipelines
  • Works with gated models (e.g. LLaMA)
  • Outputs per-agent responses and consensus accuracy

Usage (Colab)

  1. Open multiagent_mmlu.ipynb
  2. Install dependencies
  3. Login to Hugging Face
  4. Configure model, rounds, and questions
  5. Run evaluation

Notes

  • This repo does not contain model weights
  • Users must accept gated model licenses and provide a Hugging Face token
  • MMLU data is downloaded from the official source at runtime

Credits

Based on the multi-agent debate idea from: https://github.com/composable-models/llm_multiagent_debate

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support