Skip to content

fix v3 #1740

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Sep 26, 2024
Merged

fix v3 #1740

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 0 additions & 1 deletion _posts/2024-09-25-pytorch-native-architecture-optimization.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,6 @@ title: "PyTorch Native Architecture Optimization: torchao"
author: Team PyTorch
---


We’re happy to officially launch torchao, a PyTorch native library that makes models faster and smaller by leveraging low bit dtypes, quantization and sparsity. [torchao](https://github.com/pytorch/ao) is an accessible toolkit of techniques written (mostly) in easy to read PyTorch code spanning both inference and training. This blog will help you pick which techniques matter for your workloads.

We benchmarked our techniques on popular GenAI models like LLama 3 and Diffusion models and saw minimal drops in accuracy. Unless otherwise noted the baselines are bf16 run on A100 80GB GPU.
Expand Down