Update README.md

README.md

@@ -10,4 +10,27 @@ The project aims to create a flexible LLM capable of natural conversation, reaso
 - **Pipeline:** `text-generation`
 - **Library:** `transformers`
 - **License:** Apache 2.0
-- **Training:** AutoTrain (no dataset
+- **Training:** AutoTrain (no dataset yet — pretrained mode)
+
+---
+
+## 🚀 Goals
+- Serve as a foundation for text generation and conversational tasks  
+- Support English and optionally other languages  
+- Enable later fine-tuning with domain-specific data
+
+---
+
+## 📘 Usage
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("prelington/Mineral-1B")
+model = AutoModelForCausalLM.from_pretrained("prelington/Mineral-1B")
+
+prompt = "Hello! What is Mineral-1B?"
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(**inputs, max_new_tokens=100)
+
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))