Update README.md

README.md

@@ -40,6 +40,7 @@ To address this, we introduce a unified framework that comprises:
 * **[2026.1.1]** 📑 The technical report has been released.
 * **[2026.1.1]** 🎉 **OneRec-Foundation** models (1.7B, 8B) are now available on Hugging Face!
 * **[2026.1.1]** 🚀 **RecIF-Bench** dataset and evaluation scripts are open-sourced.
+* **[2026.1.5]** 🔡 **OneRec-Tokenizer** is open-sourced to support SID generation for new domains.
 
 ## 📊 RecIF-Bench
 
@@ -158,6 +159,8 @@ text = tokenizer.apply_chat_template(
 model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
 
 # conduct text completion
+# Note: In our experience, default decoding settings may be unstable for small models.
+# For 1.7B, we suggest: top_p=0.95, top_k=20, temperature=0.75 (during 0.6 to 0.8)
 generated_ids = model.generate(
     **model_inputs,
     max_new_tokens=32768