Update README.md

README.md

@@ -14,9 +14,9 @@ datasets:
 - UEC-InabaLab/KokoroChat
 ---
 
-# 🧠 KokoroChat-Full: Japanese Counseling Dialogue Model
+# 🧠 Llama-3.1-KokoroChat-Full: Japanese Counseling Dialogue Model
 
-**KokoroChat-Full** is a large-scale Japanese language model fine-tuned on the **entire KokoroChat dataset**—a collection of over 6,000 psychological counseling dialogues conducted via **role-play between trained counselors**. The model is capable of generating **empathetic and context-aware responses** suitable for mental health-related conversational tasks.
+**Llama-3.1-KokoroChat-Full** is a large-scale Japanese language model fine-tuned on the **entire KokoroChat dataset**—a collection of over 6,000 psychological counseling dialogues conducted via **role-play between trained counselors**. The model is capable of generating **empathetic and context-aware responses** suitable for mental health-related conversational tasks.
 
 ---
 
@@ -35,7 +35,7 @@ datasets:
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-model_id = "UEC-InabaLab/KokoroChat-Full"
+model_id = "UEC-InabaLab/Llama-3.1-KokoroChat-Full"
 
 # Load tokenizer and model
 tokenizer = AutoTokenizer.from_pretrained(model_id)
@@ -130,6 +130,6 @@ If you use this model or dataset, please cite the following paper:
   - [KokoroChat on Hugging Face Datasets](https://huggingface.co/datasets/UEC-InabaLab/KokoroChat)  
   - [KokoroChat on GitHub (UEC-InabaLab)](https://github.com/UEC-InabaLab/KokoroChat)
 - 🤖 **Model Variants**:  
-  - [KokoroChat-Low](https://huggingface.co/UEC-InabaLab/KokoroChat-Low): fine-tuned on **3,870 dialogues** with client feedback scores **< 70**
-  - [KokoroChat-High](https://huggingface.co/UEC-InabaLab/KokoroChat-High): fine-tuned on **2,601 dialogues** with client feedback scores between **70 and 98**
+  - [Llama-3.1-KokoroChat-Low](https://huggingface.co/UEC-InabaLab/Llama-3.1-KokoroChat-Low): fine-tuned on **3,870 dialogues** with client feedback scores **< 70**
+  - [Llama-3.1-KokoroChat-High](https://huggingface.co/UEC-InabaLab/Llama-3.1-KokoroChat-High): fine-tuned on **2,601 dialogues** with client feedback scores between **70 and 98**
 - 📄 **Paper**: [ACL 2025 Paper (PDF)](https://drive.google.com/file/d/1T6XgvZii8rZ1kKLgOUGqm3BMvqQAvxEM/view?usp=sharing)