update readme file

README.md

@@ -10,3 +10,66 @@ license: apache-2.0
 language:
 - en
 ---
+
+
+Here's your updated `README.md` with your Hugging Face username:  
+
+```markdown
+# Llama-3.2-3B-Instruct
+
+[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Model%20Card-yellow)](https://huggingface.co/deepakkumar07/Llama-3.2-3B-Instruct)
+[![Apache 2.0 License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
+
+## Model Description  
+**Llama-3.2-3B-Instruct** is a fine-tuned version of the **Llama-3.2-3B** base model, optimized for **instruction-following** and **conversational AI** tasks. This model is trained using **Unsloth** for efficient fine-tuning and inference. It supports the **GGUF format**, making it ideal for running on various hardware setups.
+
+## Features  
+- 🦙 **Fine-tuned for instruction-following**  
+- ⚡ **Optimized for GGUF format** (efficient inference)  
+- 🔥 **Compatible with Transformers & Text-Generation-Inference**  
+- 🌍 **Supports English language**  
+- 🏗️ **Trained using Unsloth for high performance**  
+
+## Model Usage  
+
+### Install Dependencies  
+To use this model, install the required libraries:  
+```bash
+pip install transformers text-generation gguf unsloth
+```
+
+### Load the Model  
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = "deepakkumar07/Llama-3.2-3B-Instruct"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+input_text = "What is the capital of France?"
+inputs = tokenizer(input_text, return_tensors="pt")
+
+output = model.generate(**inputs)
+print(tokenizer.decode(output[0], skip_special_tokens=True))
+```
+
+### GGUF Inference  
+For GGUF-based inference, use **llama.cpp** or **text-generation-inference**:  
+```bash
+pip install llama-cpp-python
+```
+```python
+from llama_cpp import Llama
+
+llm = Llama(model_path="Llama-3.2-3B-Instruct.gguf")
+response = llm("Tell me a joke.")
+print(response)
+```
+
+## License  
+This model is licensed under **Apache 2.0**.  
+
+## Acknowledgments  
+- [Meta's LLaMA](https://huggingface.co/meta-llama)  
+- [Unsloth Optimization](https://github.com/unslothai)  
+- Hugging Face 🤗 Community