Update README.md

README.md

@@ -8,4 +8,28 @@ metrics:
 - accuracy
 base_model:
 - Qwen/Qwen2.5-0.5B-Instruct
----
+---
+# NeuroCoder Qwen2.5-0.5B-Instruct-MemoryR
+
+## Overview
+
+This is the Hugging Face checkpoint of **Qwen2.5-0.5B-Instruct-MemoryR**, a memory-augmented RL-tuned model based on Qwen2.5. 
+
+The model is introduced and analyzed in our paper: https://arxiv.org/abs/2504.02273
+
+## Usage
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load tokenizer and model
+tokenizer = AutoTokenizer.from_pretrained("neurocoder/Qwen2.5-0.5B-Instruct-MemoryR")
+model = AutoModelForCausalLM.from_pretrained("neurocoder/Qwen2.5-0.5B-Instruct-MemoryR")
+
+# Example input
+prompt = "What is the capital of France?"
+inputs = tokenizer(prompt, return_tensors="pt")
+
+# Generate output
+outputs = model.generate(**inputs, max_new_tokens=50)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```