SwiftLM
What it is
SwiftLM is a high-performance inference server for Apple Silicon that serves MLX models via an OpenAI-compatible API. It is built in native Swift to eliminate Python's Global Interpreter Lock (GIL) and unnecessary memory copies, providing bare-metal performance.
The problem it solves
Overcomes the performance bottlenecks and memory limitations of Python-based inference engines on Apple Silicon, especially for large models and long context windows.
What you could use it for
- Deploying Large Language Models (LLMs) on Apple Silicon with OpenAI-compatible APIs.
- Running 100B+ parameter Mixture-of-Experts (MoE) models using SSD streaming.
- Long-context inference (up to 100K tokens) with KV cache compression.
- Deploying LLMs on macOS and iOS devices.
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.