---
license: mit
language: en
tags:
- phi-2
- gguf
- fine-tune
- motorcycles
- text-generation
---

# MotoData-Phi2-GGUF

This is a fine-tuned version of the `microsoft/phi-2` model, trained on the `Beluga6969/MotoData` dataset.

This repository contains the quantized GGUF model file for easy use on local CPUs, as well as the original LoRA adapter for those who wish to build upon this work.

## Model Details

* **Base Model:** [`microsoft/phi-2`](https://huggingface.co/microsoft/phi-2)
* **Dataset:** [`Beluga6969/MotoData`](https://huggingface.co/datasets/Beluga6969/MotoData)
* **Fine-tuning Method:** QLoRA

### Intended Use

This model is designed to be a helpful chatbot and question-answering assistant for motorcycle enthusiasts. It can answer questions about motorcycle maintenance, models, and general two-wheeler knowledge based on the data it was trained on.

**Example Prompts:**
* "What should I check before a long motorcycle trip?"
* "Tell me about the Royal Enfield Himalayan."
* "How do you clean and lubricate a motorcycle chain?"

## How to Use This GGUF Model

The primary file in this repository is `phi2-custom-q4_k_m.gguf`. You can run this file on your local computer (CPU or GPU) using tools like LM Studio, Ollama, or llama.cpp.

### Using with LM Studio

1.  Download and install [LM Studio](https://lmstudio.ai/).
2.  In the app, search for `Prithwiraj731/MotoData-Phi2-GGUF`.
3.  Download the `phi2-custom-q4_k_m.gguf` file from the list.
4.  Go to the Chat tab (💬 icon), select the model at the top, and start your conversation!

### Using with Ollama

1.  Download and install [Ollama](https://ollama.com/).
2.  Create a file named `Modelfile` (without any extension) and paste the following content into it:
    ```
    FROM ./phi2-custom-q4_k_m.gguf
    TEMPLATE "<start_of_turn>user\n{{ .Prompt }}<end_of_turn>\n<start_of_turn>model\n"
    ```
3.  Place this `Modelfile` in the same directory as the GGUF file you downloaded.
4.  Open your terminal and run the command:
    ```bash
    ollama create MotoDataPhi2 -f ./Modelfile
    ```
5.  You can now chat with the model by running:
    ```bash
    ollama run MotoDataPhi2
    ```

## Using the LoRA Adapter

For advanced users, the `fine_tuned_phi2_adapter` folder is provided. You can merge this with the original `microsoft/phi-2` model to create your own versions or continue fine-tuning.

---
*Model fine-tuned by Prithwiraj731.*