Update README.md

README.md

@@ -1,7 +1,7 @@
 [# NCU Smart LLM (phi2-ncu) — Smart LLM Fine-tuned for NCU Tasks
 
 <p align="center">
-  <img src="https://huggingface.co/pranav2711/phi2-ncu-model/resolve/main/NCU-Logo.png" alt="NCU Logo" width="120"/>
+  <img src="https://huggingface.co/pranav2711/phi2-ncu-model/resolve/main/NCU-Logo.png" alt="NCU Logo" width="240"/>
 </p>
 
 > A lightweight, instruction-tuned version of [Microsoft's Phi-2](https://huggingface.co/microsoft/phi-2), customized for use cases and conversations related to The NorthCap University (NCU), India.
@@ -9,17 +9,17 @@
 
 ---
 
-## 📌 Highlights
+## Highlights
 
-* 🔧 **Base Model:** `microsoft/phi-2` (2.7B parameters)
-* 📁 **Fine-tuned Using:** Low-Rank Adaptation (LoRA) + PEFT + Hugging Face Transformers
-* 🧠 **Dataset:** University questions, FAQs, policies, academic support queries, smart campus data
-* 🖥️ **Training Environment:** Google Colab (T4 GPU), 4 epochs, batch size 1, no FP16
-* 🗂️ **Final Format:** Full model weights (`.safetensors`) + tokenizer
+* **Base Model:** `microsoft/phi-2` (2.7B parameters)
+* **Fine-tuned Using:** Low-Rank Adaptation (LoRA) + PEFT + Hugging Face Transformers
+* **Dataset:** University questions, FAQs, policies, academic support queries, smart campus data
+* **Training Environment:** Google Colab (T4 GPU), 4 epochs, batch size 1, no FP16
+* **Final Format:** Full model weights (`.safetensors`) + tokenizer
 
 ---
 
-## 🔗 Model Access
+## Model Access
 
 | Platform           | Access Method                                                               |
 | ------------------ | --------------------------------------------------------------------------- |
@@ -41,7 +41,7 @@
 
 ---
 
-## 🛠️ How to Use Locally (Hugging Face Transformers)
+## How to Use Locally (Hugging Face Transformers)
 
 ```bash
 pip install transformers accelerate peft
@@ -71,11 +71,11 @@ print(tokenizer.decode(outputs[0], skip_special_tokens=True))
 
 ---
 
-## 🧠 How to Use with Ollama (Offline)
+## How to Use with Ollama (Offline)
 
 > This works only **locally** via `ollama create` and **not yet shareable** as public Ollama model hub is restricted.
 
-### 📦 Folder Structure
+### Folder Structure
 
 ```
 phi2-ncu/
@@ -89,7 +89,7 @@ phi2-ncu/
     ├── merges.txt
 ```
 
-### 🛠️ Steps
+### Steps
 
 ```bash
 ollama create phi2-ncu -f Modelfile
@@ -98,7 +98,7 @@ ollama run phi2-ncu
 
 ---
 
-## 🧾 Example Dataset Format (Used for Training)
+## Example Dataset Format (Used for Training)
 
 ```json
 {
@@ -121,7 +121,7 @@ You can collect your degree certificate...
 
 ---
 
-## 🔄 Training Strategy
+## Training Strategy
 
 * Used `LoRA` with rank=8, alpha=16
 * Tokenized to max length = 512
@@ -131,17 +131,17 @@ You can collect your degree certificate...
 
 ---
 
-## 🔒 License
+## License
 
 Apache 2.0
 
-## 🏫 About NCU
+## About NCU
 
 **The NorthCap University**, Gurugram (formerly ITM University), is a multidisciplinary university with programs in engineering, management, law, and sciences.
 
 This model was created as part of a research initiative to explore AI for academic services, campus automation, and local LLM deployments.
 
-## 🤝 Contribute
+## Contribute
 
 Have better FAQs or data? Want to train on your college corpus? Fork the repo or raise a PR at: