accelerate
A tool for launching, training, and using PyTorch models with ease on various devices, configurations, including mixed precision support.
GraphCanon updated 2w · GitHub synced 2w
Decision brief
Tool: accelerate
Good fit when
- Easy mixed-precision support for PyTorch models
- Simplified training across diverse hardware setups
Avoid when
- Non-PyTorch projects do not benefit from this tool
- Doesnt offer advanced auto-tuning features for other frameworks like TensorFlow
Observed Jul 15, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (3d since push)
- As of 2w
- Provenance
- Not a fork · Organization account
- As of 2w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Backing
Company context for Hugging Face. Display-only - separate from trust and ranking.
- Company
- Hugging Face·GitHub org profile·1mo
- Employees
- 160·Wikidata (P1128 employees)·1mo
- Funding
- $235,000,000 (2023-08)·GraphCanon curated seed (public press)·1mo
- Commercial model
- OSS + managed cloud·GraphCanon curated seed·1mo
Install
pip install accelerateHow it fits your stack(1)
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Evidence and technical details
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Overview
🤗 Accelerate provides an easy way to train PyTorch models using automatic mixed-precision techniques and supports FSDP and DeepSpeed configuration. It simplifies model deployment across a variety of hardware setups.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Aug 3, 2026
Categories
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Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 3, 2026)
This repository is tested on Python 3.8+ and PyTorch 1.10.0+Source link
Tags
README
Installation
This repository is tested on Python 3.8+ and PyTorch 1.10.0+
You should install 🤗 Accelerate in a virtual environment. If you're unfamiliar with Python virtual environments, check out the user guide.
First, create a virtual environment with the version of Python you're going to use and activate it.
Then, you will need to install PyTorch: refer to the official installation page regarding the specific install command for your platform. Then 🤗 Accelerate can be installed using pip as follows:
pip install accelerate
For agents
This page has a .md twin and JSON over the API.