
---
license: llama2
language:
- ko
library_name: transformers
base_model: beomi/llama-2-ko-7b
pipeline_tag: text-generation
---

# **msy127/ft_240201_01**


## Our Team

| Research & Engineering | Product Management |
| :--------------------: | :----------------: |
|     David Sohn         |      David Sohn    |


## **Model Details**

### **Base Model**

[beomi/llama-2-ko-7b](https://huggingface.co/beomi/llama-2-ko-7b)

### **Trained On**

-   **OS**: Ubuntu 22.04
-   **GPU**: A100 40GB 1ea
-   **transformers**: v4.37

### **Instruction format**

It follows **Custom** format.

E.g.

```python
text = """\
<|user|>
건강한 식습관을 만들기 위해서는 어떻게 하는것이 좋을까요?
<|assistant|>
"""
```


## **Implementation Code**

This model contains the chat_template instruction format.  
You can use the code below.

```python
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="msy127/ft_240201_01")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("msy127/ft_240201_01")
model = AutoModelForCausalLM.from_pretrained("msy127/ft_240201_01")
```
{"language": ["ko"], "license": "llama2", "library_name": "transformers"}
transformers safetensors llama text-generation ko license:llama2 autotrain_compatible endpoints_compatible text-generation-inference region:us