M

mlx

🔧🔗https://github.com/transformerlab/transformerlab-app Open Source Application for Advanced LLM Engineering: interact, train, fine-tune, and evaluate large language models on your own computer

Examples using MLX Swift

Examples in the MLX framework

🔧🔗https://github.com/transformerlab/transformerlab-api

API Server for Transformer Lab

🔧🔗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).

Efficient framework-agnostic data loading