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--- |
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library_name: transformers |
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language: |
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- en |
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- ko |
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pipeline_tag: translation |
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tags: |
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- llama-3-ko |
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license: mit |
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datasets: |
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- 4yo1/llama3_enkor_testing_short |
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--- |
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### Model Card for Model ID |
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### Model Details |
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Model Card: LLaMA3-ENG-KO-8B with Fine-Tuning |
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Model Overview |
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Model Name: LLaMA3-ENG-KO-8B |
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Model Type: Transformer-based Language Model |
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Model Size: 8 billion parameters |
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by: 4yo1 |
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Languages: English and Korean |
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### Model Description |
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LLaMA3-ENG-KO-8B is a language model pre-trained on a diverse corpus of English and Korean texts. |
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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. |
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### how to use - sample code |
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```python |
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from transformers import AutoConfig, AutoModel, AutoTokenizer |
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config = AutoConfig.from_pretrained("4yo1/llama3-eng-ko-8b") |
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model = AutoModel.from_pretrained("4yo1/llama3-eng-ko-8b") |
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tokenizer = AutoTokenizer.from_pretrained("4yo1/llama3-eng-ko-8b") |
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``` |
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datasets: |
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- 4yo1/llama3_enkor_testing_short |
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license: mit |
