Accelerate

Model ● Covered in 4 stories + Follow

Accelerate is a Hugging Face library that enables training and inference of large language models on consumer and enterprise hardware through distributed computing techniques. The tool integrates optimization methods including DeepSpeed's ZeRO, PyTorch's Fully Sharded Data Parallel, and progressive weight loading to allow users to run models that would otherwise exceed available memory, with recent demonstrations showing successful deployment of models ranging from hundreds of millions to hundreds of billions of parameters.

Updated 8 August 2026

Specifications

No specifications recorded yet.

Latest developments

How 🤗 Accelerate runs very large models thanks to PyTorch Hugging Face · 3 years ago · 19

Incredibly Fast BLOOM Inference with DeepSpeed and Accelerate Hugging Face · 4 years ago · 1

Accelerate Large Model Training using DeepSpeed Hugging Face · 4 years ago · 8

Accelerate Large Model Training using PyTorch Fully Sharded Data Parallel Hugging Face · 4 years ago · 16

Timeline

Month Quarter Year

2022

Relationships

Products & technology

Integrated with GPT-2 Large · 1 source
Integrated with GPT-2 XL · 1 source
Integrated with DeepSpeed · 1 source
PyTorch develops this model · 1 source
Hugging Face develops this model · 1 source

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