初始化项目，由ModelHub XC社区提供模型

Model: lemon-mint/gemma-ko-2b-instruct-v0.51
Source: Original Platform

README.md

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+---
+library_name: transformers
+license: other
+license_name: gemma-terms-of-use
+license_link: https://ai.google.dev/gemma/terms
+language:
+- ko
+- en
+tags:
+- korean
+- gemma
+- pytorch
+pipeline_tag: text-generation
+base_model: beomi/gemma-ko-2b
+---
+
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6332f1a52b866de639ee0279/XXemQnrO181w0-v59NADb.jpeg)
+
+# Gemma Ko 2B Instruct v0.51
+
+- Eval  Loss: `1.33753`
+- Train Loss: `1.26453`
+- lr: `1.5e-5`
+- optimizer: adamw
+- lr_scheduler_type: cosine
+
+## Model Details
+
+### Model Description
+
+The Gemma Ko 2B Instruct v0.51 model is designed for generating human-like text in the Korean language.
+It can be used for a variety of natural language processing tasks, such as language translation, text summarization, question answering, and conversation generation.
+This model is particularly well-suited for applications that require high-quality, coherent, and contextually relevant Korean text generation.
+
+- **Developed by:** `lemon-mint`
+- **Model type:** Gemma
+- **Language(s) (NLP):** Korean, English
+- **License:** [gemma-terms-of-use](https://ai.google.dev/gemma/terms)
+- **Finetuned from model:** [beomi/gemma-ko-2b](https://huggingface.co/beomi/gemma-ko-2b)
+
+# Limitations and Ethical Considerations
+
+As Gemma Ko 2B has been trained on extensive web data, biases present in the training data may be reflected in the model. Additionally, there is a possibility that it may generate sentences containing errors or incorrect information. Therefore, rather than blindly trusting the model's output, it is necessary to refer to it with caution.