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# 🧨 FLAME-MoE
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This repository contains the model described in [FLAME-MoE: A Transparent End-to-End Research Platform for
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Mixture-of-Experts Language Models](https://huggingface.co/papers/2505.20225).
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**FLAME-MoE** is a fully open Mixture-of-Experts (MoE) language model suite developed by Carnegie Mellon University. It provides a transparent and reproducible research platform for investigating expert routing, model scaling, and training dynamics in sparse architectures. The suite includes seven decoder-only transformer models ranging from 38M to 1.7B active parameters and reflects production-grade MoE setups with 64 experts per MoE layer, top-8 routing, and shared experts.
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# 🧨 FLAME-MoE
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This repository contains the model described in [FLAME-MoE: A Transparent End-to-End Research Platform for Mixture-of-Experts Language Models](https://huggingface.co/papers/2505.20225).
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**FLAME-MoE** is a fully open Mixture-of-Experts (MoE) language model suite developed by Carnegie Mellon University. It provides a transparent and reproducible research platform for investigating expert routing, model scaling, and training dynamics in sparse architectures. The suite includes seven decoder-only transformer models ranging from 38M to 1.7B active parameters and reflects production-grade MoE setups with 64 experts per MoE layer, top-8 routing, and shared experts.
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