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---
license: llama2
language:
- ko
- en
library_name: transformers
---
---
license: llama2
language:
- ko
- en
library_name: transformers
base_model: mncai/llama2-13b-dpo-v7
pipeline_tag: text-generation
---
# **mnsim-dpo-peftmerged-2-eos**
## Our Team
| Research & Engineering | Product Management |
| :--------------------: | :----------------: |
| David Sohn | David Sohn |
## **Model Details**
### **Base Model**
[mncai/llama2-13b-dpo-v7](https://huggingface.co/mncai/llama2-13b-dpo-v7)
### **Trained On**
- **OS**: Ubuntu 22.04
- **GPU**: A100 40GB 1ea
- **transformers**: v4.35.2
### **Instruction format**
It follows **Custom** format.
E.g.
```python
text = """\
<s>
<|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/mnsim-dpo-peftmerged-2-eos")
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("msy127/mnsim-dpo-peftmerged-2-eos")
model = AutoModelForCausalLM.from_pretrained("msy127/mnsim-dpo-peftmerged-2-eos")
```
## **Introduction to our service platform**
- AI Companion service platform that talks while looking at your face.
- You can preview the future of the world's best, character.ai.
- https://livetalkingai.com