Llamaport Free and Open Source Desktop App CookApps CookApps Marketplace

Overview

A small macOS app for running and downloading local GGUF models. It wraps llama-server: lists what is in your models folder, launches one with the exact command visible, shows what it costs while it runs, and fetches new models from Hugging Face with resume that survives a kill. macOS, Apple Silicon or Intel. This is an unsigned beta — see Install. button, three stopped ones with their quantisation, size and when they last ran, and the publisher's picture on every row the app downloaded](assets/library.png)

Llamaport is built on open-source principles to guarantee security, privacy, and full reproducibility. All sensitive data transformations run locally on your hardware with zero telemetry or unexpected cloud dependencies.

Key Technical Features & Capabilities

No chat UI. llama-server already ships one; Llamaport opens it.**: High-performance integrated capability designed for native Llamaport workflow.

No Windows or Linux. macOS only: the memory readings, the move-to-Trash and

No saved profiles to manage. Three presets — Default, Best speed and**: High-performance integrated capability designed for native Llamaport workflow.

One model at a time. A busy port refuses the launch rather than moving to**: High-performance integrated capability designed for native Llamaport workflow.

No Hugging Face token. Public repos only; a gated repo is reported plainly.**: High-performance integrated capability designed for native Llamaport workflow.

Architecture & Technology Stack

Primary Languages: Rust

Frameworks & UI Runtime: Tauri 2

Build Systems & Tooling: Cargo

Supported Platforms: macOS 12.0+ (Apple Silicon M1-M4 & Intel x86_64), Windows 10/11 x64, Linux

System Requirements

Specification	Minimum Requirement	Recommended Specification
Operating System	macOS 12.0 Monterey / Windows 10 x64	macOS 14.0+ Sonoma / Windows 11 x64
Processor Architecture	Apple Silicon (M1+) or Intel Core i5 x64	Apple Silicon Unified Memory (M2/M3/M4)
Memory (RAM)	4 GB Unified RAM	8 GB+ High-Speed RAM
Storage Space	300 MB available local disk space	1 GB+ SSD storage
GPU Acceleration	Metal 2 / DirectX 12 compatible	Apple Neural Engine / Vulkan capable

Installation & Setup Guide

1 Redit

macOS Installation (Recommended)

Download the verified .dmg release installer directly from CookApps.

Open the disk image and drag Llamaport.app into your /Applications folder.

Launch Llamaport via Spotlight (Cmd + Space) or Launchpad.

Alternatively, install using Homebrew if available:

bash

brew install llama

Windows Installation

Download the official installer package (.exe / .msi).

Run the executable and follow the setup wizard.

Launch Llamaport from the Start Menu or desktop shortcut.

Building from Source (Development Setup)

bash

git clone https://github.com/smkamranqadri/llamaport.git
cd llamaport
pnpm install || cargo build --release
pnpm run build

Installation & Setup Guide

Mở khóa ứng dụng để xem chi tiết hướng dẫn cài đặt, cấu hình môi trường và vận hành.

How to Use & Workflow

1 Redit

Application Launch & Workspace: Open Llamaport to load the responsive native workspace.

Configuration & Preferences: Press Cmd + , (macOS) or Ctrl + , (Windows) to configure hardware acceleration, custom directories, and display themes.

Primary Operation: Drag-and-drop source files or input parameters directly into the central window.

Execution & Export: Initiate the processing pipeline and verify output files saved directly to your chosen local directory.

How to Use & Workflow

Mở khóa ứng dụng để xem chi tiết hướng dẫn cài đặt, cấu hình môi trường và vận hành.

Troubleshooting & Common Issues

Problem: macOS Gatekeeper displays *"App is damaged and can't be opened"* or unnotarized developer notice.

Root Cause: macOS quarantine flag set on binaries downloaded outside the Mac App Store.

Resolution: Open Terminal and run:

bash

    xattr -cr /Applications/Llamaport.app

Alternatively, navigate to System Settings > Privacy & Security and select Open Anyway.

Problem: High memory consumption during batch processing operations.

Root Cause: Large media buffers retaining uncompressed state.

Resolution: Adjust batch concurrency in settings or process assets in focused batches.

Llamaport

Overview

Key Technical Features & Capabilities

Architecture & Technology Stack

System Requirements

Installation & Setup Guide

macOS Installation (Recommended)

Windows Installation

Building from Source (Development Setup)

Installation & Setup Guide

How to Use & Workflow

How to Use & Workflow

Troubleshooting & Common Issues

How to Use & Getting Started

How to Use & Getting Started

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