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DeepSeek has just released a powerful new 8B model 🔥 This means you can run it locally and for free on a laptop with zero limitations. You just need LM Studio and 4Gb of RAM. The few quick steps below:

370,707 次观看 • 1 年前 •via X (Twitter)

12 条评论

Paul Couvert 的头像
Paul Couvert1 年前

1. Download LM Studio (free) Go to and download the version for your OS. Available for: - Windows (x86/ARM) - macOS (M series) - Linux

Paul Couvert 的头像
Paul Couvert1 年前

2. Download the model In LM Studio, in the search tab, type: “deepseek r1 0528 qwen 8b” I suggest the bartowski version with the "Q4_0" quantization, suitable for most devices. (If you're using macOS, opt for an MLX model). Then, just click on download.

Paul Couvert 的头像
Paul Couvert1 年前

3. Load and chat Once the model is downloaded 1. Create a new chat 2. Select the model you've just downloaded 3. Add a system prompt to avoid overthinking That's it! You're ready to use DeepSeek R1 0528 Qwen 8B fully offline and locally!

Florian Camiade 🗝️ 的头像
Florian Camiade 🗝️1 年前

Only 4GB haha And LMStudio is really perfect for open source

Paul Couvert 的头像
Paul Couvert1 年前

The size/performance ratio is just mind-blowing. SLMs are evolving very quickly.

Rainmaker 的头像
Rainmaker2 年前

Here I share an XGBoost model that delivers a 25% CAGR with minimal drawdown on Visa stock. In this free Substack post I share code and commentary for a powerful Machine Learning strategy that delivers powerful returns.

Gazelle 的头像
Gazelle1 年前

This is a huge step forward for accessible local LLMs. Running an 8B model like DeepSeek R1-0528 on just 4GB RAM is no joke it really shows how far quantization and optimization have come. LM Studio makes the whole process seamless too.

Paul Couvert 的头像
Paul Couvert1 年前

That's a great AI summary actually haha

Imiël Visser 的头像
Imiël Visser1 年前

4GB Memory not same as 4GB GPU... "on a laptop" is a big generalization.

Paul Couvert 的头像
Paul Couvert1 年前

Yeah you're right. Let's say it works with 4GB of unified RAM, which is what most modern laptops have. But I should have been a little more specific.

Farhan 的头像
Farhan1 年前

Open-source is winning again 🔥

Paul Couvert 的头像
Paul Couvert1 年前

And it's almost too much winning 😂

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