Module 6 Wrap-up: Your Personal Hub

You have learned how to navigate the massive world of Hugging Face, determine compatibility, and even convert models yourself. Now, we are going to perform the "Manual Bridge"—taking a model file that doesn't exist in the Ollama registry and making it runnable.

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Hands-on Exercise: The Manual Bridge

For this exercise, we will imagine you found a specialized GGUF file on Hugging Face called medical-llama-8b.q4_k_m.gguf. (You can substitute this with any GGUF you find).

1. Download the File

Go to a model repository on Hugging Face (e.g., search for "Bartowski Mistral 7B GGUF") and download a specific .gguf file to your computer.

2. Create the Modelfile

In the same folder as the downloaded file, create a new file named HuggingFaceModelfile:

FROM ./medical-llama-8b.q4_k_m.gguf
SYSTEM "You are a medical research assistant. Provide answers based on scientific evidence."

3. Create the Model

In your terminal, run: ollama create hf-model -f HuggingFaceModelfile

4. Verify and Run

ollama list (Check if hf-model is there). ollama run hf-model

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Module 6 Summary

• Hugging Face is the source for models that aren't in the official registry.
• Check the License and Architecture before downloading.
• Pre-converted GGUF files are the easiest to use.
• llama.cpp provides the scripts for DIY conversion from PyTorch/SafeTensors.
• Modelfiles are the bridge that connects a raw GGUF file to the Ollama server.

Coming Up Next...

In Module 7, we shift our focus to the health of your system. We will learn how to manage disk space, optimize RAM/VRAM usage, and clear out the "Model Caches" that are slowly eating your storage!

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Module 6 Checklist

• I have visited huggingface.co and explored the GGUF tag.
• I understand how to check if a model's architecture is supported.
• I know where to find the convert.py script if I need it.
• I successfully imported a manual .gguf file using FROM ./path.
• I checked the ollama show --license of my imported model.