From 084d43aed6342a2138e585d433e9bb92a9e2ff94 Mon Sep 17 00:00:00 2001
From: ModelHub XC <noreply@modelhub.org.cn>
Date: Mon, 18 May 2026 17:33:54 +0800
Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?=
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Model: ModelSpace/GemmaX2-28-9B-v0.1
Source: Original Platform
---
 .gitattributes                   |   37 +
 LICENSE                          |    5 +
 NOTICE                           |    1 +
 README.md                        |   98 ++
 config.json                      |   34 +
 generation_config.json           |    8 +
 main.png                         |    3 +
 model-00001-of-00005.safetensors |    3 +
 model-00002-of-00005.safetensors |    3 +
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 model.safetensors.index.json     |  472 ++++++++
 special_tokens_map.json          |   34 +
 tokenizer.json                   |    3 +
 tokenizer.model                  |    3 +
 tokenizer_config.json            | 1759 ++++++++++++++++++++++++++++++
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 create mode 100644 config.json
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 create mode 100644 model.safetensors.index.json
 create mode 100644 special_tokens_map.json
 create mode 100644 tokenizer.json
 create mode 100644 tokenizer.model
 create mode 100644 tokenizer_config.json

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diff --git a/LICENSE b/LICENSE
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--- /dev/null
+++ b/LICENSE
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+# GemmaX2 Terms of Use
+
+Copyright (C) 2024 Xiaomi Corporation.
+
+Licensed under the [Gemma](https://ai.google.dev/gemma/terms).
diff --git a/NOTICE b/NOTICE
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--- /dev/null
+++ b/NOTICE
@@ -0,0 +1 @@
+GemmaX2-28 is a model based on the Gamma2 architecture, further pre-trained and fine-tuned with instruction-based objectives across 28 languages, and Gemma is provided under and subject to the Gemma Terms of Use found at ai.google.dev/gemma/terms.
\ No newline at end of file
diff --git a/README.md b/README.md
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--- /dev/null
+++ b/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.
diff --git a/config.json b/config.json
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--- /dev/null
+++ b/config.json
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+{
+  "_name_or_path": "/mnt/pfs/cuimenglong/work/paper/Pretraining/checkpoints/Gemma2-9B-best/checkpoint-35096",
+  "architectures": [
+    "Gemma2ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "attn_logit_softcapping": 50.0,
+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "eos_token_id": 1,
+  "final_logit_softcapping": 30.0,
+  "head_dim": 256,
+  "hidden_act": "gelu_pytorch_tanh",
+  "hidden_activation": "gelu_pytorch_tanh",
+  "hidden_size": 3584,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "model_type": "gemma2",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 42,
+  "num_key_value_heads": 8,
+  "pad_token_id": 0,
+  "query_pre_attn_scalar": 224,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "sliding_window_size": 4096,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.44.2",
+  "use_cache": true,
+  "vocab_size": 256000
+}
diff --git a/generation_config.json b/generation_config.json
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+{
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+  "cache_implementation": "hybrid",
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.44.2"
+}
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+    },
+    "178": {
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+    "179": {
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+    "180": {
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+    "181": {
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+    "182": {
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+    "183": {
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+    "184": {
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+    "189": {
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+      "normalized": false,
+      "rstrip": false,
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+      "special": false
+    },
+    "191": {
+      "content": "<blockquote>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "192": {
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+      "normalized": false,
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+    },
+    "193": {
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+      "rstrip": false,
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+    },
+    "194": {
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+    },
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+      "rstrip": false,
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+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<start_of_turn>",
+    "<end_of_turn>"
+  ],
+  "bos_token": "<bos>",
+  "chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% endif %}{% if system_message is defined %}{{ system_message }}{% endif %}{% for message in loop_messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ content }}{% elif message['role'] == 'assistant' %}{{ content }}{% endif %}{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<eos>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "split_special_tokens": false,
+  "tokenizer_class": "GemmaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}