Create README.md

README.md

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+---
+library_name: transformers
+language:
+- en
+- ko
+pipeline_tag: translation
+tags:
+- llama-3-ko
+license: mit
+datasets:
+- 4yo1/llama3_test1
+---
+
+### Model Card for Model ID
+### Model Details
+
+Model Card: LLaMA3-ENG-KO-8B-SL5 with Fine-Tuning
+Model Overview
+Model Name: LLaMA3-ENG-KO-8B-SL5
+
+Model Type: Transformer-based Language Model
+
+Model Size: 8 billion parameters
+
+by: 4yo1
+
+Languages: English and Korean
+
+### Model Description
+LLaMA3-ENG-KO-8B-SL5 is a language model pre-trained on a diverse corpus of English and Korean texts.
+This fine-tuning approach allows the model to adapt to specific tasks or datasets with a minimal number of additional parameters, making it efficient and effective for specialized applications.
+
+### how to use - sample code
+
+```python
+from transformers import AutoConfig, AutoModel, AutoTokenizer
+
+config = AutoConfig.from_pretrained("4yo1/llama3-eng-ko-80-sl5")
+model = AutoModel.from_pretrained("4yo1/llama3-eng-ko-8b-sl5")
+tokenizer = AutoTokenizer.from_pretrained("4yo1/llama3-eng-ko-8b-sl5")
+```
+datasets:
+- 4yo1/llama3_test1
+  
+license: mit