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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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+
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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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+
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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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+
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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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+
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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