In this video, I'll be creating an amazing Github Copilot Alternative with the new DeepSeek-Coder-V2 model. To do this I'll also be using the ContinueDev VSCode/NeoVim extension. I'll also be using the ShellGPT program to create a shell copilot as well. I'll also be utilizing the Free 5M Tokens API given by Deepseek. That means you can use it as a copilot for free and you don't need any GPUs to use it. This new model and copilot also beats GPT-4O, Claude-3, CodeQwen, Mixtral 8x22b, Mixtral 8x7b, GPT-4, Grok-1.5 & Gemini Code Assist.
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Key Takeaways:
🌟 DeepSeek Coder V2 Launched: DeepSeek recently launched two coding-specific models: a 16 billion parameter model and a 232 billion parameter model. These models outperform Codestral, GPT-4 Turbo, and Claude in most benchmarks, offering great alternatives for local Copilot setups.
🚀 Free API and Affordable Pricing: DeepSeek is offering 5 million free tokens for API usage, making it accessible for those without GPUs. The API pricing is also very affordable, allowing continuous usage for coding tasks without breaking the bank.
🔧 Setup Local Shell Copilot: Learn how to set up a local shell Copilot using the ShellGPT extension and DeepSeek's API. This setup mimics GitHub Copilot's functionality, providing efficient shell script suggestions and advanced code generation.
🖥️ VS Code Integration with DeepSeek: Integrate DeepSeek Coder with VS Code using the ContinueDev extension. This integration allows seamless code generation and chat interface functionality, enhancing your coding experience with powerful autocompletion and code suggestions.
💡 Utilize Both Models for Different Tasks: Use the locally hosted 16 billion parameter model for autocompletion and the 232 billion parameter model through the API for chat and advanced code generation. This dual setup optimizes performance for various coding needs.
📈 Superior Performance and Compatibility: DeepSeek Coder V2 supports over 300 programming languages and is licensed for commercial use, making it a versatile and powerful tool for developers. Its performance surpasses many local models, ensuring high-quality code generation.
🔥 Step-by-Step Installation Guide: Follow the detailed instructions to install ShellGPT, LiteLLM, and configure the DeepSeek API for local and API-based usage. This guide ensures you get the most out of DeepSeek Coder V2 quickly and efficiently.
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Timestamps:
00:00 - Introduction
00:04 - About Deepseek-Coder-V2
00:43 - Free 5 Million Tokens for API Usage
01:08 - Plan for usage as Copilot
01:26 - ShellGPT
01:49 - ContinueDev
01:55 - Installation (DeepSeek API)
02:22 - Installation (ShellGPT)
03:40 - Installation (ContinueDev)
05:49 - Local / Ollama Installation
07:15 - Ending
