Improve model card: Add pipeline tag, license, project page, and enhance links

README.md

@@ -1,28 +1,21 @@
 ---
 library_name: transformers
-tags:
-- translation
+pipeline_tag: translation
+license: apache-2.0
+project_page: https://hunyuan.tencent.com
 ---
 
+# Hunyuan-MT-Chimera-7B-fp8: Multilingual Translation Model
 
-<p align="center">
- <img src="https://dscache.tencent-cloud.cn/upload/uploader/hunyuan-64b418fd052c033b228e04bc77bbc4b54fd7f5bc.png" width="400"/> <br>
-</p><p></p>
-
+This model is presented in the paper [Hunyuan-MT Technical Report](https://huggingface.co/papers/2509.05209).
 
 <p align="center">
-    🤗&nbsp;<a href="https://huggingface.co/collections/tencent/hunyuan-mt-68b42f76d473f82798882597"><b>Hugging Face</b></a>&nbsp;&nbsp;|&nbsp;&nbsp;
-    🤖&nbsp;<a href="https://modelscope.cn/collections/Hunyuan-MT-2ca6b8e1b4934f"><b>ModelScope</b></a>&nbsp;&nbsp;|&nbsp;&nbsp;
-    🪡&nbsp;<a href="https://github.com/Tencent/AngelSlim/tree/main"><b>AngelSlim</b></a>
-</p>
-
-<p align="center">
-    🖥️&nbsp;<a href="https://hunyuan.tencent.com"><b>Official Website</b></a>&nbsp;&nbsp;|&nbsp;&nbsp;
-    🕹️&nbsp;<a href="https://hunyuan.tencent.com/modelSquare/home/list"><b>Demo</b></a>&nbsp;&nbsp;&nbsp;&nbsp;
+ <img src="https://dscache.tencent-cloud.cn/upload/uploader/hunyuan-64b418fd052c033b228e04bc77bbc4b54fd7f5bc.png" width="400"/> <br>
 </p>
-
 <p align="center">
-    <a href="https://github.com/Tencent-Hunyuan/Hunyuan-MT"><b>GITHUB</b></a>
+    📚 <a href="https://huggingface.co/papers/2509.05209"><b>Paper</b></a> &nbsp;&nbsp;|&nbsp;&nbsp; 💻 <a href="https://github.com/Tencent-Hunyuan/Hunyuan-MT"><b>GitHub</b></a> &nbsp;&nbsp;|&nbsp;&nbsp; 🏠 <a href="https://hunyuan.tencent.com"><b>Official Website</b></a> &nbsp;&nbsp;|&nbsp;&nbsp; 🕹️ <a href="https://hunyuan.tencent.com/modelSquare/home/list"><b>Demo</b></a>
+    <br>
+    🤗 <a href="https://huggingface.co/collections/tencent/hunyuan-mt-68b42f76d473f82798882597"><b>Hugging Face Collection</b></a> &nbsp;&nbsp;|&nbsp;&nbsp; 🤖 <a href="https://modelscope.cn/collections/Hunyuan-MT-2ca6b8e1b4934f"><b>ModelScope</b></a> &nbsp;&nbsp;|&nbsp;&nbsp; 🪡 <a href="https://github.com/Tencent/AngelSlim/tree/main"><b>AngelSlim</b></a>
 </p>
 
 
@@ -41,6 +34,16 @@ Hunyuan-MT-Chimera-7B-fp8 was produced by [AngelSlim](https://github.com/Tencent
 * 2025.9.1 We have open-sourced  **Hunyuan-MT-7B** , **Hunyuan-MT-Chimera-7B** on Hugging Face.
 <br>
 
+&nbsp;
+
+## Performance
+
+<div align='center'>
+<img src="https://github.com/Tencent-Hunyuan/Hunyuan-MT/raw/main/imgs/overall_performance.png" width = "80%" />
+</div>
+You can refer to our technical report for more experimental results and analysis.
+
+[**Technical Report**](https://www.arxiv.org/pdf/2509.05209)
 
 &nbsp;
 
@@ -101,8 +104,6 @@ First, please install transformers, recommends v4.56.0
 pip install transformers==4.56.0
 ```
 
-The following code snippet shows how to use the transformers library to load and apply the model.
-
 *!!! If you want to load fp8 model with transformers, you need to change the name"ignored_layers" in config.json to "ignore" and upgrade the compressed-tensors to compressed-tensors-0.11.0.*
 
 we use tencent/Hunyuan-MT-7B for example
@@ -116,7 +117,9 @@ model_name_or_path = "tencent/Hunyuan-MT-7B"
 tokenizer = AutoTokenizer.from_pretrained(model_name_or_path)
 model = AutoModelForCausalLM.from_pretrained(model_name_or_path, device_map="auto")  # You may want to use bfloat16 and/or move to GPU here
 messages = [
-    {"role": "user", "content": "Translate the following segment into Chinese, without additional explanation.\n\nIt’s on the house."},
+    {"role": "user", "content": "Translate the following segment into Chinese, without additional explanation.
+
+It’s on the house."},
 ]
 tokenized_chat = tokenizer.apply_chat_template(
     messages,
@@ -173,7 +176,7 @@ Supported languages:
 | Telugu            | te      | 泰卢固语        |
 | Marathi           | mr      | 马拉地语        |
 | Hebrew            | he      | 希伯来语        |
-| Bengali           | bn      | 孟加拉语        |
+| Bengali           | bn      | 孟加拉拉语        |
 | Tamil             | ta      | 泰米尔语        |
 | Ukrainian         | uk      | 乌克兰语        |
 | Tibetan           | bo      | 藏语            |
@@ -182,13 +185,19 @@ Supported languages:
 | Uyghur            | ug      | 维吾尔语        |
 | Cantonese         | yue     | 粤语            |
 
-Citing Hunyuan-MT:
-
+## Citation
 ```bibtex
-@misc{hunyuanmt2025,
-  title={Hunyuan-MT Technical Report},
-  author={Mao Zheng, Zheng Li, Bingxin Qu, Mingyang Song, Yang Du, Mingrui Sun, Di Wang, Tao Chen, Jiaqi Zhu, Xingwu Sun, Yufei Wang, Can Xu, Chen Li, Kai Wang, Decheng Wu},
-  howpublished={\url{https://github.com/Tencent-Hunyuan/Hunyuan-MT}},
-  year={2025}
+@misc{hunyuan_mt,
+      title={Hunyuan-MT Technical Report}, 
+      author={Mao Zheng and Zheng Li and Bingxin Qu and Mingyang Song and Yang Du and Mingrui Sun and Di Wang},
+      year={2025},
+      eprint={2509.05209},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2509.05209}, 
 }
-```
+```
+
+## Contact Us
+
+If you would like to leave a message for our R&D and product teams, Welcome to contact our open-source team . You can also contact us via email ([email protected]).