About PearBerry

The story behind the simplest way to run local LLMs

Our Mission

Democratizing AI access for everyone

PearBerry was created with a simple goal: make powerful language models accessible to everyone without requiring expert knowledge or expensive hardware.

We believe in a future where anyone can harness the power of AI locally, with their personal data remaining private and under their control. No cloud dependencies, no subscription fees, and no expertise required to get started.

With the growing availability of quantized models that can run on consumer hardware, there's no reason why accessing advanced AI should be complicated or costly. PearBerry bridges that gap with a simple command-line interface that handles all the complex tasks behind the scenes.

Why PearBerry?

The local LLM experience, simplified

Privacy First

Your data never leaves your device. All interactions with the model happen locally, ensuring complete privacy and control over your information.

Simple & Fast

No complex setup or configuration. Install with one command and be up and running in minutes, with performance optimized for your specific hardware.

No Subscription Fees

Access top-quality open-source models without monthly fees or rate limits. Use as much as you want, whenever you want.

Growing Model Support

We're constantly expanding our range of supported models, with a focus on the best performing quantized LLMs that can run on consumer hardware.

Our Team

The people behind PearBerry

Alex Chen

Founder & Lead Developer

Machine learning engineer with a passion for making AI accessible to everyone.

Sophia Williams

UX Designer

Focused on creating simple, intuitive interfaces for complex technologies.

Marcus Kim

ML Optimization Specialist

Expert in optimizing large language models for consumer hardware.

Open Source & Community Driven

PearBerry is open source and built by the community, for the community. We believe in transparency and collaboration.