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Deep-Seeker-ext

Deep-Seeker-ext

Qusai Kagalwala

|
174 installs
| (0) | Free
This VS Code extension allows users to run the DeepSeek 7B model locally using Ollama. With a simple and intuitive Command User Interface (CUI), users can download and interact with DeepSeek R1 directly within VS Code. Ideal for developers and AI enthusiasts, this extension provides an efficient way
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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DeepSeek R1 Local Runner for VS Code 🚀 Overview DeepSeek R1 Local Runner allows you to run the DeepSeek 7B model locally inside VS Code using Ollama. With a built-in Command User Interface (CUI), you can interact with the AI seamlessly—without needing external APIs or cloud-based models.

🔹 No API keys required 🔹 Runs entirely on your machine 🔹 Works offline after setup

📥 Installation

  1. Install from the VS Code Marketplace

Or manually install via:

Open VS Code, go to the Extensions panel (Ctrl+Shift+X). Search for DeepSeek R1 Local Runner. Click Install. 2. Install Ollama & DeepSeek 7B Download and install Ollama from ollama.ai. Open a terminal and run: ollama pull deepseek/7b. 🎥 Screenshots & Demo 📌 Quick Preview (CUI in action)

🔄 Live Interaction (GIF Demo)

⚡ Features ✅ Local Execution – No external API calls, full offline support ✅ Easy Setup – Install in seconds from the marketplace ✅ CUI Integration – Simple command interface for real-time interaction ✅ Privacy-Focused – Runs entirely on your machine ✅ Lightweight & Efficient – Optimized for developer workflows

🛠️ Usage Open the Command Palette (Ctrl+Shift+P). Search for DeepSeek R1: Start Session. Type your input in the provided interface. View the AI-generated response directly inside VS Code. ⚙️ Configuration You can customize settings in VS Code to modify:

Response formatting System prompts Performance optimizations 🔧 Troubleshooting & Support 💡 Common Issues & Fixes

🔹 Model Not Found?

Ensure DeepSeek 7B is installed by running: ollama list. 🔹 Slow Response?

Check system resources (RAM & GPU usage). 📩 Need Help?

Report bugs and request features on our GitHub Issues. ⭐ Rate & Review Enjoying DeepSeek R1 Local Runner? Support the project by leaving a ⭐ rating and review on the VS Code Marketplace. Your feedback helps us improve!

📜 License This extension is open-source and follows the MIT License.

This version is optimized for the VS Code Marketplace with: ✅ A download badge ✅ Screenshots & GIFs for visual appeal ✅ Direct installation instructions ✅ A "Rate & Review" section to boost engagement

Let me know if you'd like any modifications! 🚀

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