Implementation:Microsoft LoRA Loralib Installation

Knowledge Sources	Microsoft LoRA
Domains	Setup, Package_Management
Last Updated	2026-02-10 05:00 GMT

Overview

Concrete tool for installing the loralib Python package provided by Microsoft.

Description

The loralib package (v0.1.2) provides LoRA-enhanced PyTorch layer replacements. It is distributed as a standard Python package installable via pip. The package re-exports all public APIs from its two modules (layers and utils) through its __init__.py.

Usage

Install this package at the start of any project that uses LoRA for parameter-efficient fine-tuning. Requires Python >= 3.6 and PyTorch as a runtime dependency.

Code Reference

Source Location

• Repository: microsoft/LoRA
• File: setup.py
• Lines: 1-22

Signature

pip install loralib
# OR for development:
pip install -e .

Import

import loralib as lora

I/O Contract

Inputs

Name	Type	Required	Description
Python environment	Python >= 3.6	Yes	Python interpreter with pip
PyTorch	torch >= 1.0	Yes	PyTorch runtime dependency

Outputs

Name	Type	Description
loralib package	Python module	Importable as `import loralib as lora` providing Linear, Embedding, MergedLinear, Conv2d, mark_only_lora_as_trainable, lora_state_dict

Usage Examples

Install from PyPI

pip install loralib

Install from Source (Development)

git clone https://github.com/microsoft/LoRA.git
cd LoRA
pip install -e .

Verify Installation

import loralib as lora

# Check available APIs
print(dir(lora))
# ['Conv1d', 'Conv2d', 'Conv3d', 'ConvLoRA', 'Embedding', 'Linear',
#  'LoRALayer', 'MergedLinear', 'lora_state_dict', 'mark_only_lora_as_trainable']

Related Pages

Implements Principle

• Principle:Microsoft_LoRA_Package_Installation

Requires Environment

• Environment:Microsoft_LoRA_PyTorch_CUDA_Environment