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EasyEdit

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zjunlp/EasyEdit

[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.

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Jupyter Notebook MITCreated May 9, 2023

Trust & integrity

Full report
Maintenance
Very active (2d since push)
As of today · Source: github_public_v1
Provenance
Not a fork · Organization account
As of today · Source: github_public_v1
Security (OSV)
25 low (25 low)
As of today · Source: osv@v1

Public GitHub metadata and optional OSV dependency scans. Signals, not a guarantee. Trust methodology.

Overview

[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.

Capability facts

Deploy
Self-host

Source: dockerfile:Dockerfile · Jul 11, 2026

Docker
Dockerfile present

Source: dockerfile:Dockerfile · Jul 11, 2026

Languages
jupyter notebook

Source: github.language · Jul 11, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Jul 11, 2026)

**Note: Please use Python 3.9+ for EasyEdit**
Source link

Tags

README

Requirements

🔧Pip Installation

Note: Please use Python 3.9+ for EasyEdit To get started with pip, simply install conda and run:

git clone https://github.com/zjunlp/EasyEdit.git
cd EasyEdit
conda create -n EasyEdit python=3.10
conda activate EasyEdit
pip install -r requirements.txt

⚡uv Installation

You can also use uv for faster dependency installation:

git clone https://github.com/zjunlp/EasyEdit.git
cd EasyEdit
conda create -n EasyEdit python=3.10
conda activate EasyEdit
pip install uv
uv pip install --torch-backend cu128 -r requirements.txt

If you are installing for a CPU-only environment, replace the last command with:

uv pip install --torch-backend cpu -r requirements.txt

After installation, you can verify the environment with:

uv pip check

Editing GPU memory usage

Our results are all based on the default configuration

llama-2-7Bchatglm2gpt-j-6bgpt-xl
FT60GB58GB55GB7GB
SERAC42GB32GB31GB10GB
IKE52GB38GB38GB10GB
MEND46GB37GB37GB13GB
KN42GB39GB40GB12GB
ROME31GB29GB27GB10GB
MEMIT33GB31GB31GB11GB
AdaLoRA29GB24GB25GB8GB
GRACE27GB23GB6GB
WISE34GB27GB7GB