Update READ.ME

README.md

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 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.