Improve language tag

README.md

@@ -1,40 +1,54 @@
----
-license: apache-2.0
-base_model:
-- Qwen/Qwen2.5-7B-Instruct
-pipeline_tag: text-to-3d
-datasets:
-- FreedomIntelligence/BlendNet
-metrics:
-- code_eval
-tags:
-- code
-- render
-- CAD
-- 3D
-- Modeling
-- LLM
-- bpy
-- Blender
----
-
-# 🤖 BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement
-
-**BlenderLLM** is built using **Qwen2.5-Coder-7B-Instruct** as the base model. It has been fine-tuned on the **BlendNet** training dataset and further optimized through **Self-improvement** techniques to achieve the best performance.  
-
-For more details, please visit our [GitHub repository](https://github.com/FreedomIntelligence/BlenderLLM) or refer to our [arXiv paper](https://www.arxiv.org/abs/2412.14203).
-
-## 📖 Citation
-```angular2
-@misc{du2024blenderllmtraininglargelanguage,
-      title={BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement}, 
-      author={Yuhao Du and Shunian Chen and Wenbo Zan and Peizhao Li and Mingxuan Wang and Dingjie Song and Bo Li and Yan Hu and Benyou Wang},
-      year={2024},
-      eprint={2412.14203},
-      archivePrefix={arXiv},
-      primaryClass={cs.HC},
-      url={https://arxiv.org/abs/2412.14203}, 
-}
-```
-
-We are from the School of Data Science (SDS), the Chinese University of Hong Kong, Shenzhen (CUHKSZ).
+---
+license: apache-2.0
+base_model:
+- Qwen/Qwen2.5-7B-Instruct
+pipeline_tag: text-to-3d
+datasets:
+- FreedomIntelligence/BlendNet
+metrics:
+- code_eval
+tags:
+- code
+- render
+- CAD
+- 3D
+- Modeling
+- LLM
+- bpy
+- Blender
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+---
+
+# 🤖 BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement
+
+**BlenderLLM** is built using **Qwen2.5-Coder-7B-Instruct** as the base model. It has been fine-tuned on the **BlendNet** training dataset and further optimized through **Self-improvement** techniques to achieve the best performance.  
+
+For more details, please visit our [GitHub repository](https://github.com/FreedomIntelligence/BlenderLLM) or refer to our [arXiv paper](https://www.arxiv.org/abs/2412.14203).
+
+## 📖 Citation
+```angular2
+@misc{du2024blenderllmtraininglargelanguage,
+      title={BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement}, 
+      author={Yuhao Du and Shunian Chen and Wenbo Zan and Peizhao Li and Mingxuan Wang and Dingjie Song and Bo Li and Yan Hu and Benyou Wang},
+      year={2024},
+      eprint={2412.14203},
+      archivePrefix={arXiv},
+      primaryClass={cs.HC},
+      url={https://arxiv.org/abs/2412.14203}, 
+}
+```
+
+We are from the School of Data Science (SDS), the Chinese University of Hong Kong, Shenzhen (CUHKSZ).