From 514aa493734e7cbcfad077247d667a5cd0b9235c Mon Sep 17 00:00:00 2001 From: "chen, suyue" Date: Fri, 8 Mar 2024 15:28:13 +0800 Subject: [PATCH] update README.md (#32) --- README.md | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index b6da0240..7d7e0560 100644 --- a/README.md +++ b/README.md @@ -21,6 +21,10 @@ AutoRound is an advanced weight-only quantization algorithm for low-bits LLM inf pip install -r requirements.txt python setup.py install ``` +### Install from pypi +```bash +pip install auto-round +``` ## Usage of Tuning ### On CPU/ Gaudi2/ GPU @@ -181,11 +185,6 @@ We provide a [comprehensive analysis](docs/acc.md) with other methods in our acc 3 Setting 'minmax_lr' to 2.0/iters has been observed to occasionally yield improved results. - -## Examples -Quantization has been enabled for various large language models. Please refer to the [example readme](examples/README.md) for details. - - ## Reference If you find SignRound useful for your research, please cite our paper: ```bash