Update README.md

README.md

@@ -16,11 +16,41 @@ We create various AI models and develop solutions that can be applied to busines
 This model was built based on the Mistral architecture. It was inspired by neural connection technology and rehabilitation therapy.
 I have created a new model architecture that does not require pretraining, and training the model is sufficient with just one H100 for 7 hours.
 
-### Data (TBD)
-
-### Surgery and Training (TBD)
-
-### How to Use (TBD)
+### Data
+Intel/orca_dpo_pairs (DPO) 
+
+### Surgery and Training
+viethq188/LeoScorpius-7B-Chat-DPO  : 0 ~ 24
+upstage/SOLAR-10.7B-Instruct-v1.0  : 10 ~ 48
+Total stacking 62 Layers, qlora and dpo.
+
+### How to Use 
+
+```python
+message = [
+    {"role": "system", "content": "You are a helpful assistant chatbot."},
+    {"role": "user", "content": "두 개의 구가 각각 지름이 1, 2일때 두 구의 부피는 몇배지? 설명도 같이 해줘."}
+]
+tokenizer = AutoTokenizer.from_pretrained(hf_model)
+prompt = tokenizer.apply_chat_template(message, add_generation_prompt=True, tokenize=False)
+
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=hf_model,
+    tokenizer=tokenizer
+)
+
+
+sequences = pipeline(
+    prompt,
+    do_sample=True,
+    temperature=0.7,
+    top_p=0.9,
+    num_return_sequences=1,
+    max_length=512,
+)
+print(sequences[0]['generated_text'])
+```
 
 ### Contact (TBD)
 If you have any questions, please raise an issue or contact us at [email protected]