初始化项目，由ModelHub XC社区提供模型

Model: ModelSpace/GemmaX2-28-9B-v0.1
Source: Original Platform

README.md

@@ -0,0 +1,98 @@
+---
+license: gemma
+license_name: license
+license_link: LICENSE
+metrics:
+- bleu
+- comet
+base_model:
+- ModelSpace/GemmaX2-28-9B-Pretrain
+pipeline_tag: translation
+library_name: transformers
+language:
+- ar
+- bn
+- cs
+- de
+- en
+- es
+- fa
+- fr
+- he
+- hi
+- id
+- it
+- ja
+- km
+- ko
+- lo
+- ms
+- my
+- nl
+- pl
+- pt
+- ru
+- th
+- tl
+- tr
+- ur
+- vi
+- zh
+---
+
+## Updates
+
+New multilingual machine translation model (MiLMMT-46) is now available. Please check the [link](https://huggingface.co/collections/xiaomi-research/milmmt-46) for detailed information.
+
+
+## Model Description
+
+GemmaX2-28-9B-v0.1 is an LLM-based translation model. It has been fintuned on GemmaX2-28-9B-Pretrain, which is a language model developed through continual pretraining of Gemma2-9B using a mix of 56 billion tokens from both monolingual and parallel data across 28 different languages. Please find more details in our paper: [Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study](https://arxiv.org/abs/2502.02481).
+
+
+- **Developed by:** Xiaomi
+- **Model type:** GemmaX2-28-9B-Pretrain is obtained by continually pretraining Gemma2-9B on a large amount of monolingual and parallel data. Subsequently, GemmaX2-28-9B-v0.1 is derived through supervised finetuning on a small set of high-quality translation instruction data.
+- **Languages:** Arabic, Bengali, Czech, German, English, Spanish, Persian, French, Hebrew, Hindi, Indonesian, Italian, Japanese, Khmer, Korean, Lao, Malay, Burmese, Dutch, Polish, Portuguese, Russian, Thai, Tagalog, Turkish, Urdu, Vietnamese, Chinese. 
+- **Github:** Please find more details in our [Github repository](https://github.com/xiaomi-research/gemmax).
+
+## Model Performance
+
+![Experimental Result](main.png)
+
+
+## Run the model
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_id = "ModelSpace/GemmaX2-28-9B-v0.1"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+
+model = AutoModelForCausalLM.from_pretrained(model_id)
+
+text = "Translate this from Chinese to English:\nChinese: 我爱机器翻译\nEnglish:"
+inputs = tokenizer(text, return_tensors="pt")
+
+outputs = model.generate(**inputs, max_new_tokens=512)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+
+## Citation 
+
+```bibtex
+@misc{cui2025multilingualmachinetranslationopen,
+      title={Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study}, 
+      author={Menglong Cui and Pengzhi Gao and Wei Liu and Jian Luan and Bin Wang},
+      year={2025},
+      eprint={2502.02481},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2502.02481}, 
+}
+```
+
+
+## Limitations
+
+GemmaX2-28-9B-v0.1 only supports the 28 languages listed above and does not guarantee strong translation performance for other languages. We will continue to enhance the translation performance of GemmaX2-28-9B, and future models will be released in due course.