by enescingoz · Agent Tool · ★ 119
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🧠 colab-llm Run local LLM models on Google Colab and access them remotely via API — ideal for lightweight, cost-effective development and testing using Ollama and Cloudflare Tunnel. ✅ Access your Colab-hosted LLM API from anywhere — even inside VS Code using the ROO Code extension! 🧩 Features 🔥 Run advanced LLMs (like Qwen, LLaMA3, Mistral, DeepSeek) in Colab using Ollama 🌐 Expose the model via secure public URL using 🧑💻 Integrate with ROO Code in VS Code for seamless coding assistance ✅ Automatically detects and waits for Ollama to be ready before tunneling 💡 Simple, professional, and reusable setup 🛠️ Requirements A Google Colab account A GPU runtime (preferably T4 High-RAM or better) No installation or cloud account needed for Cloudflare tunneling 📝 How It Works Installs and launches Ollama in the background Pulls the selected model (e.g., ) Waits until Ollama is running and responsive Starts a Cloudflare tunnel to expose Prints a public URL — ready to use ▶️ Usage Instructions Follow these steps to get your local LLM running in Colab and access
| Stars | 119 |
| Forks | 31 |
| Language | Jupyter Notebook |
| Category | Agent Tool |
| Quality Score | 59.8016249938408/100 |
| Open Issues | 1 |
| Last Updated | 2025-04-14 |
| Created | 2025-04-11 |
| Est. Tokens | ~1k |
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colab-llm is This repository provides a ready-to-use Google Colab notebook that turns Colab into a temporary server for running local LLM models using Ollama. It exposes the model API via a secure Cloudflare tunne. It is categorized as a Agent Tool with 119 GitHub stars.
colab-llm is primarily written in Jupyter Notebook. It covers topics such as colab, local-llm, ollama.
You can find installation instructions and usage details in the colab-llm GitHub repository at github.com/enescingoz/colab-llm. The project has 119 stars and 31 forks, indicating an active community.
The top alternatives to colab-llm on Agent Skills Hub include llm-axe, captain-claw, agentic-signal. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.