Updated README.md file with acknowledgement

README.md

@@ -11,13 +11,44 @@ license: apache-2.0
 language:
 - en
 ---
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
 
-# Uploaded  model
+# Uploaded  model: Llama 3.1 8B Finetuned
 
 - **Developed by:** kparkhade
 - **License:** apache-2.0
-- **Finetuned from model :** unsloth/Meta-Llama-3.1-8B-bnb-4bit
+- **Base model :** unsloth/Meta-Llama-3.1-8B-bnb-4bit
 
-This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+## Overview
+This fine-tuned Llama 3.1 8B model was optimized for efficient text generation tasks. 
+By leveraging advanced optimization techniques from [Unsloth](https://github.com/unslothai/unsloth) and [Hugging Face's](https://huggingface.co/docs/trl/) TRL library, 
+training was completed 2x faster than conventional methods.
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+### Key Features
+- **Speed Optimized:** Training was accelerated with the Unsloth framework, significantly reducing resource consumption.
+- **Model Compatibility:** Compatible with Hugging Face's ecosystem for seamless integration.
+- **Quantization:** Built on a 4-bit quantized base model for efficient deployment and inference.
+
+## Usage
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load the model and tokenizer
+model_name = "kparkhade/Llama-3.1-8B"
+model = AutoModelForCausalLM.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+# Generate text
+inputs = tokenizer("Your input prompt here", return_tensors="pt")
+outputs = model.generate(**inputs)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+## Applications
+This model can be used for:
+- Creative writing (e.g., story or poetry generation)
+- Generating conversational responses
+- Assisting with coding-related queries
+
+## Acknowledgements
+Special thanks to the [Unsloth](https://github.com/unslothai/unsloth) team for providing tools that make model fine-tuning faster and more efficient.