---
title: DeepSeek-R1 WebGPU
emoji: 🧠🐳
colorFrom: red
colorTo: blue
sdk: docker 
pinned: false
app_port: 7860
license: apache-2.0
short_description: Small reasoning model running in browser 
thumbnail: >-
  https://huggingface.co/spaces/webml-community/deepseek-r1-webgpu/resolve/main/banner.png
---

# DeepSeek-R1 WebGPU

Next-generation reasoning model running entirely in your browser using WebGPU acceleration.

## System Requirements

- WebGPU-compatible browser 
- 6GB+ RAM recommended

## Features
- 🚀 Runs entirely in browser using WebGPU acceleration
- 🧠 1.5B parameter reasoning model
- 💭 Shows step-by-step reasoning process
- 🔢 LaTeX math support
- 🌙 Dark mode support

## Getting Started

Follow the steps below to set up and run the application.

### 1. Clone the Repository

Clone the examples repository from GitHub:

```sh
git clone https://github.com/huggingface/transformers.js-examples.git
```

### 2. Navigate to the Project Directory

Change your working directory to the `deepseek-r1-webgpu` folder:

```sh
cd transformers.js-examples/deepseek-r1-webgpu
```

### 3. Install Dependencies

Install the necessary dependencies using npm:

```sh
npm i
```

### 4. Run the Development Server

Start the development server:

```sh
npm run dev
```

The application should now be running locally. Open your browser and go to `http://localhost:5173` to see it in action.

## Usage

1. Click "Load model" to download and initialize the model
2. Wait for model initialization to complete (~1-2 minutes)
3. Type your question or select an example
4. View the model's step-by-step reasoning

## Browser Compatibility

- ✅ Chrome 

## Troubleshooting

- **WebGPU Not Available**: Ensure you're using a compatible browser with WebGPU enabled
- **Out of Memory**: Try closing other browser tabs to free up GPU memory
- **Model Loading Fails**: Check your internet connection and try reloading

## License & Attribution

- Model: [DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B) by DeepSeek AI
- Framework: [🤗 Transformers.js](https://github.com/huggingface/transformers.js)
- License: Apache 2.0