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MLX GRPO

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🔧🔗https://github.com/Doriandarko/MLX-GRPO MLX-GRPO is a training framework for large language models (LLMs) that leverages Apple’s MLX framework exclusively. Designed to run natively on Apple Silicon using the Metal backend, this project implements Group-based Relative Policy Optimization (GRPO) with a chain-of-thought prompting structure. The pipeline includes dataset preparation, reward function definitions, and GRPO training—all running in a pure MLX environment (no CUDA).

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Created on

June 07, 2025

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