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README.md
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# Multi-Agent MMLU Review Board
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This repository contains a multi-agent debate and consensus framework evaluated on the MMLU benchmark.
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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.
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## Features
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- Configurable number of agents and debate rounds
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- Supports Hugging Face Transformers pipelines
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- Works with gated models (e.g. LLaMA)
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- Outputs per-agent responses and consensus accuracy
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## Usage (Colab)
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1. Open `multiagent_mmlu.ipynb`
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2. Install dependencies
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3. Login to Hugging Face
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4. Configure model, rounds, and questions
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5. Run evaluation
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## Notes
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- This repo does not contain model weights
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- Users must accept gated model licenses and provide a Hugging Face token
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- MMLU data is downloaded from the official source at runtime
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## Credits
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Based on the multi-agent debate idea from:
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https://github.com/composable-models/llm_multiagent_debate
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