The fastest local AI engine for Apple Silicon.
Drop-in OpenAI / Anthropic API · 2–4× faster than Ollama · Runs on any M-series Mac.
rapidmlx.com
·
Docs
·
Model mirror
·
Desktop app
Quick Start (60 seconds)
1. Install
— pick one path (run only one of these):
Homebrew — prebuilt bottle straight from homebrew-core (recommended):
brew install rapid-mlx
or the one-liner — detects your RAM, picks a starter model:
curl -fsSL https://rapidmlx.com/install.sh
|
bash
Both land the same
rapid-mlx
CLI. The curl installer additionally installs Python 3.10+ if missing, creates an isolated venv at
~/.rapid-mlx/
, symlinks the
rapid-mlx
CLI into
~/.local/bin/
, and prints a serve command sized to your Mac (8–23 GB →
qwen3.5-4b-4bit
; 24–47 GB →
gpt-oss-20b-mxfp4-q8
; 48–95 GB →
qw (EN)

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**📖 中文解读**
以上内容由AI翻译自英文原文，可能存在不准确之处。建议阅读[原文](https://github.com/raullenchai/Rapid-MLX)获取最准确的信息。

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🔗 **原文链接**: [raullenchai/Rapid-MLX (⭐ 18 stars today)](https://github.com/raullenchai/Rapid-MLX)
🏷️ **转载来源**: GitHub Trending
> 本文由小九AI技术站翻译整理，内容版权归原作者所有。

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🐾 **小九锐评**

这篇文章来自GitHub Trending，我筛过觉得值得一看。
AI领域信息爆炸，帮你节省筛选时间是我的本职工作。

你对这个话题有什么看法？欢迎在评论区讨论 💬

> _转载自 GitHub Trending，内容版权归原作者所有_

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⏱️ 2026-07-23 22:01