Update README.md

README.md

@@ -12,7 +12,7 @@ language:
 - en
 pipeline_tag: text-generation
 ---
-# RAI-R1-VECTOR
+# RAI-3.0-R1-VECTOR
 <a href="https://www.apache.org/licenses/LICENSE-2.0" target="_blank" style="margin: 2px;">
   <img alt="License" src="https://img.shields.io/badge/License-Apache%202.0-4caf50?&color=4caf50" style="display: inline-block; vertical-align: middle;"/>
 </a>
@@ -20,7 +20,7 @@ pipeline_tag: text-generation
 ---
 
 ## Model Overview
-**RAI-R1-VECTOR** is a task-vector merged model created using the following formula:
+**RAI-3.0-R1-VECTOR** is a task-vector merged model created using the following formula:
 ```
 DeepSeek-R1-0528 + (RakutenAI-3.0 - DeepSeek-V3-0324)
 ```
@@ -46,8 +46,8 @@ This architecture combines the advanced reasoning capabilities of `DeepSeek-R1-0
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-model = AutoModelForCausalLM.from_pretrained("Local-Novel-LLM-project/RAI-R1-VECTOR", trust_remote_code=True)
-tokenizer = AutoTokenizer.from_pretrained("Local-Novel-LLM-project/RAI-R1-VECTOR")
+model = AutoModelForCausalLM.from_pretrained("Local-Novel-LLM-project/RAI-3.0-R1-VECTOR", trust_remote_code=True)
+tokenizer = AutoTokenizer.from_pretrained("Local-Novel-LLM-project/RAI-3.0-R1-VECTOR")
 
 inputs = tokenizer("日本の文化で重要な要素は", return_tensors="pt")
 outputs = model.generate(**inputs, max_length=100)
@@ -62,11 +62,11 @@ print(tokenizer.decode(outputs[0]))
 ## Citation
 ```bibtex
 @misc{RAIR1VECTOR2026,
-  title = {RAI-R1-VECTOR: Task-Vector Merged Model},
+  title = {RAI-3.0-R1-VECTOR: Task-Vector Merged Model},
   author = {LocalNovelLLM-project},
   year = {2026},
   publisher = {LocalNovelLLM-project},
-  url = {https://huggingface.co/Local-Novel-LLM-project/RAI-R1-VECTOR}
+  url = {https://huggingface.co/Local-Novel-LLM-project/RAI-3.0-R1-VECTOR}
 }
 ```