Feature Request: Add a Google Colab Notebook to Run Ollama Remotely for Strix (via Cloudflare Tunnel)

[bytes-Knight]

📌 Summary

Requesting an official Google Colab notebook that runs Ollama in Colab and exposes it securely through a Cloudflare Tunnel, allowing users to run Strix locally while using Colab’s resources to power the AI model.

This notebook would NOT run Strix on Colab — it only provides a remote LLM backend.

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🎯 What This Notebook Should Do

• Install Ollama inside Colab
• Download a selected model (e.g., DeepSeek R1, Llama 3, etc.)
• Start Ollama server on Colab
• Set up a Cloudflare Tunnel (using a user-provided token)
• Display the public endpoint that Strix can use as LLM_API_BASE
• Provide instructions for configuring Strix locally

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🔥 Why This Feature Is Needed

1. Solves Hardware Limitations

Many users cannot run big models locally due to:

• Low RAM
• No GPU
• Limited storage

Colab provides free compute that can run medium/large models effortlessly.
Users can then run Strix locally with full AI power.

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2. Perfect Hybrid Architecture

This setup lets users:

• Keep Strix local (safer, faster integration with tools)
• Use Colab as an AI engine in the cloud
• Connect them securely via Cloudflare Tunnel

It’s the best of both worlds: Local recon + Cloud GPU inference.

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3. Extremely Useful for Bug Hunters

Security researchers often travel or use lightweight hardware.
With this notebook:

• They only need a browser
• Colab does the heavy lifting
• Their laptop only runs Strix (minimal load)

Perfect for:

• CTFs
• Bug bounty field work
• Cloud-restricted environments

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4. Reduces Setup Complexity

New users struggle with:

• installing Ollama
• handling CUDA/GPU drivers
• setting up model weights

A Colab notebook removes all of that.
One click, and the model is up.

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📘 What the Notebook Should Include

Minimum features:

• apt install dependencies
• curl install Ollama
• ollama run example models
• Cloudflare Tunnel setup
• Print external LLM_API_BASE
• Instructions for using with Strix:

export STRIX_LLM="ollama/<model>"
export LLM_API_BASE="https://your-colab-tunnel-url/"
export LLM_API_KEY="none"

Optional features:

• Dropdown menu to select model
• Auto-download of multiple model sizes
• Keep-alive mechanism to avoid Colab disconnect
• Google Drive integration for caching models

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✔ Expected Impact

• Makes Strix usable on any device
• Enables powerful LLMs without needing a GPU
• Increases adoption among researchers
• Standardizes a remote-Ollama workflow
• Reduces support issues related to “model too big” or “Ollama won’t start”

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🙏 Request

Please add an official Google Colab notebook for running Ollama with Cloudflare Tunnel, designed specifically to let users power their local Strix instance with a remote Colab LLM backend.

This will massively increase usability and accessibility for the entire Strix community.