This is the Linux app named BaseRT whose latest release can be downloaded as BaseRTengine0.1.7sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named BaseRT with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.
- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application, install it and run it.
SCREENSHOTS
Ad
BaseRT
DESCRIPTION
BaseRT is a local large language model inference runtime optimized for Apple Silicon computers. It accelerates model execution through hand-written Metal kernels and requires an M1 or newer Mac running macOS 14 or later. A unified command-line interface can download models from Hugging Face, convert checkpoints, launch chats, benchmark performance, and inspect model packages. Its server implements OpenAI-compatible chat, completion, embedding, transcription, tool-calling, and multimodal endpoints. The custom .base format supports affine quantization from Q2 through Q8, optional AWQ calibration, and signed model bundles. Stable C interfaces connect the engine with Python, Node.js, Rust, and Swift applications. The repository contains the open CLI, format specifications, bindings, documentation, and benchmarks, while the prebuilt inference engine uses a separate license.
Features
- Metal-accelerated Apple Silicon inference
- Unified model management CLI
- OpenAI-compatible local API server
- Text, image, and audio model support
- Q2 through Q8 model quantization
- Python, Node.js, Rust, and Swift bindings
Programming Language
Rust
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/basert.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.