
BaseRT by BaseCompute is the fastest LLM runtime for Apple Silicon, enabling one-command installation and local model execution on your device.
BaseRT is a high-performance runtime developed by BaseCompute, designed specifically for Apple Silicon hardware. It enables users to install and run large language models (LLMs) locally on their device with a single command. The tool is marketed as the fastest LLM runtime on Apple Silicon, offering significant speed improvements over alternatives like MLX and llama.cpp. Users can serve models directly from their machine, keeping all data on-device without requiring API keys or external network calls.
Local AI development
Run and test open-source models entirely on your Apple Silicon Mac without cloud dependencies.
Coding agents
Serve a model locally and point a coding agent at it, enabling private, offline code assistance.
Privacy-sensitive tasks
Execute AI workloads without sending data off your device, ideal for confidential or sensitive projects.
Model benchmarking
Compare performance across models using BaseRT’s built-in benchmarks against MLX and llama.cpp.
Community experimentation
Join a Discord community for engineers working on on-device AI and open-source models.
One-command installation
Install BaseRT with a single `curl` command: `curl -LsSf https://basecompute.co/install.sh | sh`.
Fastest Apple Silicon runtime
Achieves up to 33% faster decode speeds and up to 6.4x faster prefill speeds compared to llama.cpp, and up to 3.9x faster prefill than MLX.
Model serving
Serve a model locally using `basert serve basecompute/gemma-4-E4B-it` for immediate access.
Coding agent integration
Install a dedicated plugin (`pip install git:github.com/basecompute/pi-basert`) to run local coding agents with BaseRT.
Supported models
Works with popular open-source models including Qwen3, Qwen3.5, Qwen3.6, Llama 3.1, Llama 3.2, Gemma 3, Gemma 4, Mistral, Phi-3, and Nomic BERT.
Community support
Access technical reports, documentation, and a GitHub repository, plus a Discord server for engineers building on-device AI.
BaseRT is built for engineers and developers working with on-device AI, particularly those who need to run open-source models locally on Apple Silicon hardware. It’s ideal for AI researchers, coding tool developers, and privacy-conscious users who want to avoid cloud dependencies. The tool also appeals to hobbyists and community members interested in benchmarking and experimenting with LLMs on Macs.
curl -LsSf https://basecompute.co/install.sh | sh.basert serve basecompute/gemma-4-E4B-it (or any supported model).pip install git:github.com/basecompute/pi-basert and run it.BaseRT delivers on its promise of being the fastest LLM runtime for Apple Silicon, with concrete benchmark numbers showing substantial gains over MLX and llama.cpp in both decode and prefill phases. The one-command installation and straightforward model serving make it accessible for developers who want to quickly spin up local AI without complex setup. The integration with coding agents is a practical feature for those building private, offline development tools. While the tool is clearly optimized for Apple Silicon, its focus on local execution and privacy aligns well with current trends in edge AI. The active community on Discord and available technical reports suggest a well-supported project, though real-world user feedback beyond benchmarks is not provided on the site.
BaseRT by BaseCompute is the fastest LLM runtime for Apple Silicon, enabling one-command installation and local model execution on your device.
Category:Training Deployment Tool
Visit Link:https://www.basecompute.co/getbasert
Tags:Apple Silicon、LLM runtime、local inference、BaseCompute、macOS AI