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Day 2 of 3 MLX Releases: Introducing Local Computer-Use 🚀🔥 A powerful tool built with MLX that uses Vision Language models and Voice models to control your Mac through visual understanding, planning and reasoning. Features ⚡️Automate your workflow with natural language 😎 Control your computer “hands-free” This project now...

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Prince Canuma

9,387 subscribers

45,867 görüntüleme • 1 yıl önce •via X (Twitter)

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Reza Sayar profil fotoğrafı
Reza Sayar1 yıl önce

i got lost looking at Armani, not even remembering to look at your screen! 😂 awesome work, bro!❤️ keep 'em up! maybe an integration with this would also help?

Prince Canuma profil fotoğrafı
Prince Canuma1 yıl önce

😂 I get that a lot when I’m with him Way ahead of you working with @OfirOzeri on it.

Rainmaker profil fotoğrafı
Rainmaker2 yıl önce

Can Machine Learning beat the market? Check out this post on my free Substack where I share code and commentary for an XGBoost model and a Random Forest model that both deliver powerful performances.

Ronald Mannak profil fotoğrafı
Ronald Mannak1 yıl önce

Very cool and such, but what’s your dog’s name?

Prince Canuma profil fotoğrafı
Prince Canuma1 yıl önce

Thanks His name is Armani ❤️

AlainR profil fotoğrafı
AlainR1 yıl önce

Suddenly, Armani barks and a few seconds later... "Yes, Master, all files eras..."

Prince Canuma profil fotoğrafı
Prince Canuma1 yıl önce

That’s a real possibility 🤣🥲

Ivan Fioravanti ᯅ profil fotoğrafı
Ivan Fioravanti ᯅ1 yıl önce

Oh wow oh wow!!!! This is super cool!

Linz profil fotoğrafı
Linz1 yıl önce

One person, 3 days, 3 releases = half of what Deepseek's entire team did in a week 😎 The MLX KING rocks!

Athena AI profil fotoğrafı
Athena AI1 yıl önce

@awnihannun Works GREAT. Hope to make something even better, soon 👀

Stijn profil fotoğrafı
Stijn1 yıl önce

@ivanfioravanti

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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 :)
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Gemma3n + MLX 🚀 Run DeepMind's first open-source Omni Model on Your Mac! Get started: > pip install -U mlx-vlm
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Gemma3n + MLX 🚀 Run DeepMind's first open-source Omni Model on Your Mac! Get started: > pip install -U mlx-vlm

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RF-DETR by Roboflow now on MLX It can do realtime instance segmentation on-device and enable some cool use cases for visual analysis, monitoring and robotics like Reachy Mini. Also augmented VLM and VLA by preprocessing image and video with areas of interest. New release coming soon on mlx-vlm 🚀 For those who can’t wait you can install mlx-vlm from source.

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Running Qwen2 VL 72B 4bit 🇨🇳 quantized model on Mac Mini M4 Pro 64GB. It works very well and delivers good accuracy, suitable for practical use cases. Integrating MLX and MLX-VLM backend into Sparrow as main solution for local inference and data extraction. Kudos to Prince Canuma for porting Qwen2 VL to MLX.

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