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README.md
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response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
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```
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response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
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```
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# **Run with Ollama [Ollama Run]**
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Ollama makes running machine learning models simple and efficient. Follow these steps to set up and run your GGUF models quickly.
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## Quick Start: Step-by-Step Guide
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| Step | Description | Command / Instructions |
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|------|-------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|
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| 1 | **Install Ollama 🦙** | Download Ollama from [https://ollama.com/download](https://ollama.com/download) and install it on your system. |
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| 2 | **Create Your Model File** | - Create a file named after your model, e.g., `metallama`. |
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| | | - Add the following line to specify the base model: |
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| | | ```bash |
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| | | FROM Llama-3.2-1B.F16.gguf |
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| | | ``` |
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| | | - Ensure the base model file is in the same directory. |
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| 3 | **Create and Patch the Model** | Run the following commands to create and verify your model: |
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| | | ```bash |
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| | | ollama create metallama -f ./metallama |
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| | | ollama list |
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| | | ``` |
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| 4 | **Run the Model** | Use the following command to start your model: |
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| | | ```bash |
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| | | ollama run metallama |
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| | | ``` |
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| 5 | **Interact with the Model** | Once the model is running, interact with it: |
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| | | ```plaintext |
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| | | >>> Tell me about Space X. |
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| | | Space X, the private aerospace company founded by Elon Musk, is revolutionizing space exploration... |
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| | | ``` |
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## Conclusion
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With Ollama, running and interacting with models is seamless. Start experimenting today!
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