Hollama: A Minimal In-Browser LLM Chat App

Summary

Hollama is a lightweight LLM chat application designed to run entirely within your web browser. It offers support for both Ollama and OpenAI servers, providing a private and feature-rich environment for interacting with large language models. Users can enjoy a responsive interface, local data storage, and advanced customization options for their chat sessions.

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Introduction

Hollama is a minimal, yet powerful, LLM chat application that operates entirely within your web browser. It provides a seamless interface for interacting with large language models, supporting both Ollama and OpenAI servers, making it versatile for various AI setups.

Features

Hollama comes packed with features designed to enhance your LLM chat experience:

Support for Ollama & OpenAI servers
Multi-server support
Text & vision models
Large prompt fields
Support for reasoning models
Markdown rendering with syntax highlighting
KaTeX math notation
Code editor features
Customizable system prompts & advanced Ollama parameters
Copy code snippets, messages or entire sessions
Edit & retry messages
Stores data locally on your browser
Import & export stored data
Responsive layout
Light & dark themes
Multi-language interface
Download Ollama models directly from the UI

Get Started

Getting started with Hollama is straightforward, offering multiple ways to access its capabilities. You can try the live demo instantly, download desktop applications, or self-host using Docker.

Live Demo: Experience Hollama directly in your browser with no sign-up required: Live demo
Desktop Applications: Download native versions for macOS, Windows, and Linux from the releases page.
Self-hosting: For more control, you can self-host Hollama using Docker. Refer to the self-hosting guide for instructions.

Why Use Hollama?

Hollama stands out for its commitment to privacy and local control, running entirely in your browser. It offers a rich set of features, including multi-server support, advanced customization, and a user-friendly interface, making it an excellent choice for local LLM interactions. The ability to store data locally and import/export sessions further enhances user control and data privacy.