---
base_model: unsloth/llama-3-8b-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- gguf
license: apache-2.0
language:
- en
---

# Uploaded  model

- **Developed by:** zayedansari
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit

This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.

[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)


# Formula1Model 🏎️

An expert Formula 1 assistant fine-tuned on the **2024 Formula 1 Championship dataset** ([vibingshu/2024_formula1_championship_dataset](https://huggingface.co/datasets/vibingshu/2024_formula1_championship_dataset)).  

This model was fine-tuned using **Unsloth** and exported in 8-bit (`Q8_0`) format for efficient local inference with Ollama.

---

## 🔧 Model Details
- **Base Model:** LLaMA 3.2 (fine-tuned with Unsloth)
- **Dataset:** 2024 F1 results, drivers, constructors, and races
- **Format:** GGUF (`Q8_0`)
- **Task:** Question answering & expert analysis on Formula 1  
- **Use Case:** F1 trivia, race insights, driver/team history, strategy-style Q&A

---

## 📊 Training

Hardware: Google Colab (T4 / A100, depending on availability)
Tools Used: Unsloth, Hugging Face datasets, LoRA adapters
Precision: 8-bit (Q8_0) for efficient inference

---

## 🚀 Usage

ollama pull zayedansari/Formula1Model

ollama run zayedansari/Formula1Model

---

## Example

**Who won the 2024 Monaco Grand Prix?**

    > Max Verstappen won the Bahrain Grand Prix driving for Red Bull Racing Honda RBPT.

---

## 📜 License

This model is released under the Apache 2.0 license.
You are free to use, modify, and distribute it with proper attribution.