初始化项目，由ModelHub XC社区提供模型

Model: Rakuten/RakutenAI-2.0-mini
Source: Original Platform

README.md

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+---
+license: apache-2.0
+language:
+- en
+- ja
+---
+
+# RakutenAI-2.0-mini
+## Model Description
+RakutenAI-2.0-mini is a lightweight Japanese language model trained from scratch using a transformer architecture, designed for efficient performance in resource-constrained environments. As a foundation model, it serves as the backbone for instruct models.
+
+*If you are looking for instruct model, check [RakutenAI-2.0-mini-instruct](https://huggingface.co/Rakuten/RakutenAI-2.0-mini-instruct)*.
+
+
+## Model Usage
+## Usage
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+model_path = "Rakuten/RakutenAI-2.0-mini"
+tokenizer = AutoTokenizer.from_pretrained(model_path)
+model = AutoModelForCausalLM.from_pretrained(model_path, torch_dtype="auto", device_map="auto")
+model.eval()
+
+requests = [
+    "南硫黄島原生自然環境保全地域は、自然",
+    "The capybara is a giant cavy rodent",
+]
+
+for req in requests:
+    input_text = tokenizer(req, return_tensors="pt").to(device=model.device)
+    tokens = model.generate(
+        **input_text,
+        max_new_tokens=512,
+        do_sample=True,
+        pad_token_id=tokenizer.eos_token_id,
+    )
+    out = tokenizer.decode(tokens[0], skip_special_tokens=True)
+    print("INPUT:\n" + req)
+    print("OUTPUT:\n" + out)
+
+```
+
+## Model Details
+
+* **Developed by**: [Rakuten Group, Inc.](https://ai.rakuten.com/)
+* **Language(s)**: Japanese, English
+* **License**: This model is licensed under [Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0).
+* **Model Architecture**: Transformer
+
+### Limitations and Bias
+
+The suite of RakutenAI-2.0 models is capable of generating human-like text on a wide range of topics. However, like all LLMs, they have limitations and can produce biased, inaccurate, or unsafe outputs. Please exercise caution and judgement while interacting with them.
+
+## Citation
+For citing our work on the suite of RakutenAI-2.0 models, please use: 
+
+```
+@misc{rakutengroup2025rakutenai2.0,
+  author = {Rakuten Group, Inc.},
+  title = {RakutenAI-2.0},
+  year = {2025},
+  publisher = {Hugging Face},
+  url = {https://huggingface.co/Rakuten},
+}
+
+```
+