LM Link + LM Studio CLI complete tutorial! (Run Local LLMs with LM Studio on Free Google Colab GPU)

Local LLM · Beginner ·🛠️ AI Tools & Apps ·2mo ago

About this lesson

Want to run massive AI models without a GPU? In this tutorial, I'll show you how to offload your AI processing to a completely FREE Google Colab GPU (16GB VRAM) using the new LM Link feature in LM Studio. The best part? You don't need Ngrok, port forwarding, or any networking experience. It sets up an end-to-end encrypted connection in minutes, making your remote GPU feel 100% local! We’ll also cover how to connect this setup to VS Code so you can use massive AI coding models (like Qwen, Deepseek, GLM, Kimi etc.) right in your IDE. Get the Google Colab Notebook Here: https://colab.research.google.com/drive/1bT-ceyzIUvCw3uoyh8Xs8kg-7LIUre6L?usp=sharing Visit our website for the complete Guide: https://localllm.in/blog/lm-link-guide-lm-studio ⏱️ Chapters: 0:00 - The Secret to Free Cloud GPUs 0:49 - How LM Link Works (No Ngrok Needed!) 1:19 - Setting Up Google Colab (Free T4 GPU) 2:09 - Pairing Colab with Your Local Machine 2:34 - Downloading Models via the CLI 3:13 - Connecting the LM Studio Desktop App 4:15 - The Ultimate Setup: AI Coding in VS Code 5:08 - Pro Tip: Managing Remote Models 💻 What you will learn: How to use the LM Studio headless daemon (lms daemon up) How to generate an LM Link pairing code How to download models via the LM Studio CLI How to route your local host (port 1234) to a cloud GPU for AI coding assistants. 👍 If this video saved you from buying a $3,000 laptop, hit that LIKE button and SUBSCRIBE for more local AI workflows and coding tutorials! #LMStudio #GoogleColab #LocalLLM #AICoding #Tailscale #VRAM

Original Description

Want to run massive AI models without a GPU? In this tutorial, I'll show you how to offload your AI processing to a completely FREE Google Colab GPU (16GB VRAM) using the new LM Link feature in LM Studio. The best part? You don't need Ngrok, port forwarding, or any networking experience. It sets up an end-to-end encrypted connection in minutes, making your remote GPU feel 100% local! We’ll also cover how to connect this setup to VS Code so you can use massive AI coding models (like Qwen, Deepseek, GLM, Kimi etc.) right in your IDE. Get the Google Colab Notebook Here: https://colab.research.google.com/drive/1bT-ceyzIUvCw3uoyh8Xs8kg-7LIUre6L?usp=sharing Visit our website for the complete Guide: https://localllm.in/blog/lm-link-guide-lm-studio ⏱️ Chapters: 0:00 - The Secret to Free Cloud GPUs 0:49 - How LM Link Works (No Ngrok Needed!) 1:19 - Setting Up Google Colab (Free T4 GPU) 2:09 - Pairing Colab with Your Local Machine 2:34 - Downloading Models via the CLI 3:13 - Connecting the LM Studio Desktop App 4:15 - The Ultimate Setup: AI Coding in VS Code 5:08 - Pro Tip: Managing Remote Models 💻 What you will learn: How to use the LM Studio headless daemon (lms daemon up) How to generate an LM Link pairing code How to download models via the LM Studio CLI How to route your local host (port 1234) to a cloud GPU for AI coding assistants. 👍 If this video saved you from buying a $3,000 laptop, hit that LIKE button and SUBSCRIBE for more local AI workflows and coding tutorials! #LMStudio #GoogleColab #LocalLLM #AICoding #Tailscale #VRAM
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Chapters (8)

The Secret to Free Cloud GPUs
0:49 How LM Link Works (No Ngrok Needed!)
1:19 Setting Up Google Colab (Free T4 GPU)
2:09 Pairing Colab with Your Local Machine
2:34 Downloading Models via the CLI
3:13 Connecting the LM Studio Desktop App
4:15 The Ultimate Setup: AI Coding in VS Code
5:08 Pro Tip: Managing Remote Models
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