chore: update readme

README.md

@@ -1,3 +1,75 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+---
+
+# Model Card for Qwen3-32B-LoRA-ECHO-KK-GRPO
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+Based on Qwen3-32B, we applied the ECHO framework to perform LoRA fine-tuning on the KK dataset. 
+Ultimately, it achieved near-perfect scores on the 2–8 PPL test set, surpassing o4-mini, DeepSeek-R1, and o3-mini-high.
+
+# Quick start
+
+
+
+```python
+
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = "GradientNetwork/Qwen3-32B-LoRA-ECHO-KK-GRPO"# load the tokenizer and the model
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(
+    model_name,
+    torch_dtype="auto",
+    device_map="auto"
+)
+
+# prepare the model input
+prompt = "K & K"
+messages = [
+    {"role": "user", "content": prompt}
+]
+text = tokenizer.apply_chat_template(
+    messages,
+    tokenize=False,
+    add_generation_prompt=True,
+    enable_thinking=True # Switches between thinking and non-thinking modes. Default is True.
+)
+model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
+
+# conduct text completion
+generated_ids = model.generate(
+    **model_inputs,
+    max_new_tokens=32768
+)
+output_ids = generated_ids[0][len(model_inputs.input_ids[0]):].tolist() 
+
+# parsing thinking contenttry:
+    # rindex finding 151668 (</think>)
+    index = len(output_ids) - output_ids[::-1].index(151668)
+except ValueError:
+    index = 0
+
+thinking_content = tokenizer.decode(output_ids[:index], skip_special_tokens=True).strip("\n")
+content = tokenizer.decode(output_ids[index:], skip_special_tokens=True).strip("\n")
+
+print("thinking content:", thinking_content)
+print("content:", content)
+```
+
+
+# Citation
+```
+@misc{xiao2025echodecouplinginferencetraining,
+      title={Echo: Decoupling Inference and Training for Large-Scale RL Alignment on Heterogeneous Swarms}, 
+      author={Jie Xiao and Changyuan Fan and Qingnan Ren and Alfred Long and Yuchen Zhang and Rymon Yu and Eric Yang and Lynn Ai and Shaoduo Gan},
+      year={2025},
+      eprint={2508.05387},
+      archivePrefix={arXiv},
+      primaryClass={cs.LG},
+      url={https://arxiv.org/abs/2508.05387}, 
+}
+```
+
+