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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)
- Open
multiagent_mmlu.ipynb - Install dependencies
- Login to Hugging Face
- Configure model, rounds, and questions
- 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
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