Update README.md

README.md

@@ -4,4 +4,72 @@ 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|>
+건강한 식습관을 만들기 위해서는 자신이 원하는 음식이나 식사 메뉴를 직접 만들어 본다면 좋을 것 같아요.
+</s>
+"""
+```
+
+
+## **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")
+```