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Microsoft has released its new open source model Phi-4 Incredibly powerful for its size and you can run it locally on your laptop! Completely free and available on Mac, Windows, Linux 🧵

Paul Couvert

221,259 subscribers

264,001 次观看 • 1 年前 •via X (Twitter)

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Paul Couvert 的头像

Paul Couvert1 年前

1. Download LM Studio Go to and download the version for your OS.

Paul Couvert 的头像

Paul Couvert1 年前

2. Download Phi-4 Open LM Studio and in the search section type “Phi-4”. Select a GGUF version for Windows/Linux or MLX for macOS. Tip: if you have a potato laptop (like me), choose the Unsloth version.

Paul Couvert 的头像

Paul Couvert1 年前

3. You're done! When the model is downloaded, go to the conversation section. Select the model you've just downloaded in the top bar to load it. Now you can start chatting in total privacy, with no need for an internet connection!

WillScuderi 的头像

WillScuderi1 年前

Great rundown of our new product using it on the road 🏎️ with your Mac and PC and then on planes ✈️ with your iPhone for watching movies is a game changer ✅ Aluminium Build ✅ Works with one cable for Mac, PC, iPhone (15 and later) ✅ 1080p/16m colours/300nits ✅ 0.2"/5mm thin

Argu-mint 的头像

Argu-mint1 年前

Free and open source? Has anyone read the license? Microsoft's definition of 'open' usually comes with more strings attached than a puppet show.

Sola Awodiya 的头像

Sola Awodiya1 年前

I could see a SaaS use case for this.

Paul Couvert 的头像

Paul Couvert1 年前

What type of SaaS?

Patrick's AIBuzzNews 的头像

Patrick's AIBuzzNews1 年前

I instantly downloaded it when I've read about its release.

Paul Couvert 的头像

Paul Couvert1 年前

Same. Love the fact that it's under MIT license.

Hottest Horse 的头像

Hottest Horse1 年前

It was released a month ago on reddit …

Paul Couvert 的头像

Paul Couvert1 年前

Available via API on Azure for ≈1 month but the model has just been published (2/3 days ago or smth) and can be used locally

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Microsoft has released a new open source AI model Phi-4-mini is surprisingly powerful for its size (3.8B!) You can use it for free locally on your Windows, MacOS or Linux laptop. Links and tutorial below

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