Update README.md

README.md

@@ -4,6 +4,8 @@ base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
 library_name: peft
 ---
 
+# DeepSeek-R1-Distill-Qwen-7B-R
+
 The DeepSeek-R1-Distill-Qwen-7B model has been fine-tuned **to predict hyperparameters for neural network models**. Leveraging the power of large language models (LLMs), this version can analyze neural network architectures and generate optimal hyperparameter configurations — such as learning rate, batch size, dropout, momentum, and so on — for a given task. This approach offers a competitive alternative to traditional optimization methods like the Optuna Framework.
 
 
@@ -16,8 +18,7 @@ The DeepSeek-R1-Distill-Qwen-7B model has been fine-tuned **to predict hyperpara
 
 A large language model used in the <a href='https://github.com/ABrain-One/NN-GPT'>NNGPT</a> project for generating training hyperparameters for neural networks from the <a href='https://github.com/ABrain-One/NN-Dataset'>LEMUR NN Dataset</a>
 
-# Model Card for DeepSeek-R1-Distill-Qwen-7B-R
-
+# How to Use
 This repository provides a **fine-tuned version** of [deepseek-ai/DeepSeek-R1-Distill-Qwen-7B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B) using the [PEFT](https://github.com/huggingface/peft) library with LoRA. The final model is **merged** so it can be loaded in one step via:
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer