https://github.com/iamgmujtaba/deepseek-r1
DeepSeek-R1: WebGPU-based Local Reasoning Model
https://github.com/iamgmujtaba/deepseek-r1
deepseek deepseek-llm deepseek-r1 deepseek-r1-zero
Last synced: about 2 months ago
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DeepSeek-R1: WebGPU-based Local Reasoning Model
- Host: GitHub
- URL: https://github.com/iamgmujtaba/deepseek-r1
- Owner: iamgmujtaba
- Created: 2025-01-21T23:54:14.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-01-23T03:46:11.000Z (4 months ago)
- Last Synced: 2025-03-24T13:14:16.447Z (2 months ago)
- Topics: deepseek, deepseek-llm, deepseek-r1, deepseek-r1-zero
- Language: JavaScript
- Homepage:
- Size: 1.97 MB
- Stars: 3
- Watchers: 1
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# DeepSeek-R1: Next-Generation Local Reasoning Model
Experience cutting-edge reasoning directly in your browser with **DeepSeek-R1**, a 1.5B parameter model powered by WebGPU. Everything runs locally with **no data sent to servers**, ensuring privacy and performance. Built with 🤗 **Transformers.js** and **ONNX Runtime Web**, it’s lightweight, offline-capable, and blazing-fast at **60 tokens per second**. More information can be found [here](https://github.com/deepseek-ai/DeepSeek-R1/blob/main/DeepSeek_R1.pdf).
## Why DeepSeek-R1?
DeepSeek-R1 is designed for developers, researchers, and enthusiasts who need a fast, secure, and privacy-focused reasoning model. By running locally in your browser, DeepSeek-R1 eliminates server latency and ensures complete control over your data.
## Features
- **Local Execution**: Runs entirely in your browser—no external dependencies or server-side processing using php.
- **WebGPU Acceleration**: Leverages WebGPU for fast, efficient computation.
- **Offline Support**: Once loaded, you can use the model without an internet connection.
- **Privacy First**: All processing stays on your device.
- **Open Source**: Fully transparent, with source code available on [GitHub](https://github.com/iamgmujtaba/deepseek-r1).
Note: Code is tested on MacOS and Linux (Ubuntu).
## Getting Started
Follow these steps to set up and run **DeepSeek-R1** locally.
### 1. Clone the Repository
Clone the project to your local machine:
```sh
git clone http://localhost:8000/
```
### 2️. Navigate to the Project Directory
Move into the project directory:
```sh
cd deepseek-r1
```
### 3. Start the Application Server
Start the local development server with:
```sh
bash run.sh
```
### 4. Example
https://github.com/user-attachments/assets/8ca9c2fa-5b92-401b-bf05-d041ee730504
The application will open automatically in your default web browser at `http://localhost:8000`.
## đź”— Base Code Attribution
This project builds upon the excellent work available in the [Hugging Face Examples](https://github.com/huggingface/transformers.js-examples).