mixture-of-experts VS ModuleFormer

Compare mixture-of-experts vs ModuleFormer and see what are their differences.

mixture-of-experts

PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538 (by davidmrau)
moe mixture-of-experts sparsely-gated-mixture-of-experts Pytorch re-implementation
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ModuleFormer

ModuleFormer is a MoE-based architecture that includes two different types of experts: stick-breaking attention heads and feedforward experts. We released a collection of ModuleFormer-based Language Models (MoLM) ranging in scale from 4 billion to 8 billion parameters. (by IBM)
LM moe
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mixture-of-experts ModuleFormer
2 1
835 216
- 4.6%
5.3 5.7
16 days ago 25 days ago
Python Python
GNU General Public License v3.0 only Apache License 2.0
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mixture-of-experts

Posts with mentions or reviews of mixture-of-experts. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-20.
  • [Rumor] Potential GPT-4 architecture description
    2 projects | /r/LocalLLaMA | 20 Jun 2023
  • Local and Global loss
    1 project | /r/pytorch | 4 Mar 2021
    I have a requirement of training pipeline similar to Mixture of Experts (https://github.com/davidmrau/mixture-of-experts/blob/master/moe.py) but I want to train the Experts on a local loss for 1 epoch before predicting outputs from them (which would then be concatenated for the global loss of MoE). Can anyone suggest what’s the best way to set up this training pipeline?

ModuleFormer

Posts with mentions or reviews of ModuleFormer. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing mixture-of-experts and ModuleFormer you can also consider the following projects:

pytorch-tutorial - PyTorch Tutorial for Deep Learning Researchers

LMOps - General technology for enabling AI capabilities w/ LLMs and MLLMs

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

StableLM - StableLM: Stability AI Language Models

mmdetection - OpenMMLab Detection Toolbox and Benchmark

lingvo - Lingvo

hivemind - Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

lm-scorer - 📃Language Model based sentences scoring library

yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

tutel - Tutel MoE: An Optimized Mixture-of-Experts Implementation

Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time

mixture-of-experts vs pytorch-tutorial ModuleFormer vs LMOps mixture-of-experts vs transformers ModuleFormer vs StableLM mixture-of-experts vs mmdetection ModuleFormer vs lingvo mixture-of-experts vs hivemind ModuleFormer vs lm-scorer mixture-of-experts vs yolov5 ModuleFormer vs tutel mixture-of-experts vs Real-Time-Voice-Cloning mixture-of-experts vs tutel