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Running mlx optimized models is easy 🙂

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Andrew I. Christianson

1,810 subscribers

33,437 次观看 • 1 年前 •via X (Twitter)

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Run the latest Ministral 3 models by Mistral AI on macOS. Running privately on-device and optimized for Apple Silicon with MLX.
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Run the latest Ministral 3 models by Mistral AI on macOS. Running privately on-device and optimized for Apple Silicon with MLX.

Locally AI - Local AI Chat

34,960 次观看 • 10 个月前

The new Qwen 3.5 by Qwen running on-device on iPhone 17 Pro. Qwen 3.5 beats models 4 times its size, has strong visual understanding, and can toggle reasoning on or off. The 2B 6-bit model here is running with MLX optimized for Apple Silicon.
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The new Qwen 3.5 by Qwen running on-device on iPhone 17 Pro. Qwen 3.5 beats models 4 times its size, has strong visual understanding, and can toggle reasoning on or off. The 2B 6-bit model here is running with MLX optimized for Apple Silicon.

Adrien Grondin

3,562,184 次观看 • 7 个月前

Alibaba’s Qwen 3.5 is now running fully on-device on the iPhone 17 Pro. It outperforms models 4x its size, delivers strong visual understanding, and lets you switch reasoning on or off. This demo uses the 2B 6-bit version, optimized with MLX for Apple Silicon.
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Alibaba’s Qwen 3.5 is now running fully on-device on the iPhone 17 Pro. It outperforms models 4x its size, delivers strong visual understanding, and lets you switch reasoning on or off. This demo uses the 2B 6-bit version, optimized with MLX for Apple Silicon.

Hugging Models

203,208 次观看 • 7 个月前

🔴 The Pain: Running local MLX models is incredibly fast and private. But let's be real - testing tool calling via terminal is clunky, and there's zero good UI for it. 🟢 The Fix: rapid-mlx share Just ONE command gives you a polished web chat + seamless tool calling (works beautifully with gemma-4-12b-qat). We are proud to be the ONLY MLX inference engine in the community shipping this. ⚡️ 👇 Try it now: brew install raullenchai/rapid-mlx/rapid-mlx
0:40

🔴 The Pain: Running local MLX models is incredibly fast and private. But let's be real - testing tool calling via terminal is clunky, and there's zero good UI for it. 🟢 The Fix: rapid-mlx share Just ONE command gives you a polished web chat + seamless tool calling (works beautifully with gemma-4-12b-qat). We are proud to be the ONLY MLX inference engine in the community shipping this. ⚡️ 👇 Try it now: brew install raullenchai/rapid-mlx/rapid-mlx

raullen

22,776 次观看 • 4 个月前

Update: Qwen3.5:9b head-to-head (MLX, Apple Silicon optimized) Mac Studio M2 Ultra: 89.74 tok/s Mac Mini M4: 20.82 tok/s MLX basically doubles the speed on both machines.
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Update: Qwen3.5:9b head-to-head (MLX, Apple Silicon optimized) Mac Studio M2 Ultra: 89.74 tok/s Mac Mini M4: 20.82 tok/s MLX basically doubles the speed on both machines.

stevibe

134,256 次观看 • 7 个月前

Rapid-MLX 0.13.0 is out 🚀 Rapid-MLX 0.13.0 is officially here! 🚀 Run massive models locally on your Mac with sub-second replies and side-by-side dictation + chat. 100% on-device. 100% MLX. Get it now via DMG or CLI: - - curl -fsSL | bash
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Rapid-MLX 0.13.0 is out 🚀 Rapid-MLX 0.13.0 is officially here! 🚀 Run massive models locally on your Mac with sub-second replies and side-by-side dictation + chat. 100% on-device. 100% MLX. Get it now via DMG or CLI: - - curl -fsSL | bash

Rapid-MLX · local AI on your Mac

31,743 次观看 • 1 个月前

Day 1 of 3 MLX Releases: Introducing MLX-Audio 🚀🔥 A text-to-speech (TTS) and Speech-to-Speech (STS) library built on Apple's MLX framework, providing efficient speech synthesis on Apple Silicon. Features ⚡️Fast inference on Apple Silicon (M series chips) 🤖Multiple language support 🗣️Voice customization options 🚀Quantization support for optimized performance Supported models: 🪶Kokoro - A multilingual TTS model with 82M params that supports various languages and voice styles. With more models coming soon. Get started: > pip install mlx-audio Please leave us a star and send a PR :)
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Day 1 of 3 MLX Releases: Introducing MLX-Audio 🚀🔥 A text-to-speech (TTS) and Speech-to-Speech (STS) library built on Apple's MLX framework, providing efficient speech synthesis on Apple Silicon. Features ⚡️Fast inference on Apple Silicon (M series chips) 🤖Multiple language support 🗣️Voice customization options 🚀Quantization support for optimized performance Supported models: 🪶Kokoro - A multilingual TTS model with 82M params that supports various languages and voice styles. With more models coming soon. Get started: > pip install mlx-audio Please leave us a star and send a PR :)

Prince Canuma

123,553 次观看 • 1 年前

I’ve been using the new MacBook Pro M5 since launch and it’s a beast, especially compared to my old M1! It’s good for running the smaller AI models locally but also everything you do is just so fast. Here’s Gemma 3 QAT 12B running with MLX:
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I’ve been using the new MacBook Pro M5 since launch and it’s a beast, especially compared to my old M1! It’s good for running the smaller AI models locally but also everything you do is just so fast. Here’s Gemma 3 QAT 12B running with MLX:

Adrien Grondin

101,950 次观看 • 10 个月前

M5 Max + ACE-Step v1.5 + MLX = 20 seconds to generate incredible music, commercial ready and locally generated 🤯 There is a native MLX backend in the repo, super easy to use! 🧵 Audio on!
1:27

M5 Max + ACE-Step v1.5 + MLX = 20 seconds to generate incredible music, commercial ready and locally generated 🤯 There is a native MLX backend in the repo, super easy to use! 🧵 Audio on!

Ivan Fioravanti ᯅ

15,919 次观看 • 7 个月前

MLX-Serve 26.10.2 is out, download for your Mac/iOS/DGX/x86 - Same MLX Models now run everywhere. Enable Lan Sharing and share across devices. GLM 5.3, DS4.1, Mimo, MiniCPM, YuE2, and more.
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MLX-Serve 26.10.2 is out, download for your Mac/iOS/DGX/x86 - Same MLX Models now run everywhere. Enable Lan Sharing and share across devices. GLM 5.3, DS4.1, Mimo, MiniCPM, YuE2, and more.

David Dalcu

19,713 次观看 • 12 天前

phone bank with us🙂 it’s easy to get started🙂 and it’s fun🙂 now is the perfect time🙂
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phone bank with us🙂 it’s easy to get started🙂 and it’s fun🙂 now is the perfect time🙂

Dr. Abdul El-Sayed

46,094 次观看 • 3 个月前

Llama 3 running locally on iPhone with MLX Built by exo intern team Mohamed Baioumy h/t Awni Hannun MLX & Prince Canuma for the port
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Llama 3 running locally on iPhone with MLX Built by exo intern team Mohamed Baioumy h/t Awni Hannun MLX & Prince Canuma for the port

Alex Cheema

295,873 次观看 • 2 年前

Kimi K2.6 was released 1h ago, and it looks amazing! Here it's running with MLX (mlx-vlm) on two M3 Ultras (full 1T param VLM) 🔥
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Kimi K2.6 was released 1h ago, and it looks amazing! Here it's running with MLX (mlx-vlm) on two M3 Ultras (full 1T param VLM) 🔥

Pedro Cuenca

65,768 次观看 • 6 个月前

QWEN 3.5 4b MLX running locally with a milk avatar Model by ToxSam
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QWEN 3.5 4b MLX running locally with a milk avatar Model by ToxSam

tensorfish

125,990 次观看 • 7 个月前

Running Qwen3 8B thinking on an iPhone Air with MLX. The model is quantized to 4-bit and runs pretty well.
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Running Qwen3 8B thinking on an iPhone Air with MLX. The model is quantized to 4-bit and runs pretty well.

Awni Hannun

215,597 次观看 • 1 年前

A perfect coding model for MLX on Apple silicon.. Qwen delivered again. Runs quite fast on an M3 Ultra. Running the 4-bit quantized with mlx-lm:
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A perfect coding model for MLX on Apple silicon.. Qwen delivered again. Runs quite fast on an M3 Ultra. Running the 4-bit quantized with mlx-lm:

Awni Hannun

186,831 次观看 • 1 年前

Being girl is not easy right now 🙂🤕
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Being girl is not easy right now 🙂🤕

Gautam (Parody)

10,256 次观看 • 8 个月前