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license: llama2
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---
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---
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license: llama2
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language:
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- ko
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library_name: transformers
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---
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---
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license: llama2
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language:
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- ko
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library_name: transformers
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base_model: beomi/llama-2-ko-7b
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pipeline_tag: text-generation
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---
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# **msy127/ft_240201_01**
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## Our Team
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| Research & Engineering | Product Management |
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| :--------------------: | :----------------: |
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| David Sohn | David Sohn |
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## **Model Details**
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### **Base Model**
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[beomi/llama-2-ko-7b](https://huggingface.co/beomi/llama-2-ko-7b)
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### **Trained On**
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- **OS**: Ubuntu 22.04
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- **GPU**: A100 40GB 1ea
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- **transformers**: v4.37
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### **Instruction format**
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It follows **Custom** format.
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E.g.
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```python
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text = """\
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<|user|>
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๊ฑด๊ฐํ ์์ต๊ด์ ๋ง๋ค๊ธฐ ์ํด์๋ ์ด๋ป๊ฒ ํ๋๊ฒ์ด ์ข์๊น์?
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<|assistant|>
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"""
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```
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## **Implementation Code**
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This model contains the chat_template instruction format.
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You can use the code below.
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```python
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# Use a pipeline as a high-level helper
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from transformers import pipeline
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pipe = pipeline("text-generation", model="msy127/ft_240201_01")
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# Load model directly
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("msy127/ft_240201_01")
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model = AutoModelForCausalLM.from_pretrained("msy127/ft_240201_01")
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```
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