初始化项目，由ModelHub XC社区提供模型

Model: maywell/Synatra-kiqu-7B
Source: Original Platform

README.md

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+---
+license: cc-by-sa-4.0
+---
+
+# Join our discord
+[Server Link](https://discord.gg/MrBt3PXdXc)
+
+# **License**
+**cc-by-sa-4.0**
+
+# **Model Details**
+
+**Base Model**  
+[maywell/Synatra-7B-v0.3-dpo](https://huggingface.co/maywell/Synatra-7B-v0.3-dpo)
+
+**Trained On**  
+A100 80GB * 8
+
+Sionic AI에서 GPU 자원을 지원받아 제작되었습니다.
+
+**Instruction format**
+
+It follows **ChatML** format.
+
+# **Model Benchmark**
+
+TBD
+
+# **Implementation Code**
+
+Since, chat_template already contains insturction format above.
+You can use the code below.
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+device = "cuda" # the device to load the model onto
+
+model = AutoModelForCausalLM.from_pretrained("maywell/Synatra-kiqu-7B")
+tokenizer = AutoTokenizer.from_pretrained("maywell/Synatra-kiqu-7B")
+
+messages = [
+    {"role": "user", "content": "사회적 합의는 어떤 맥락에서 사용되는 말이야?"},
+]
+
+encodeds = tokenizer.apply_chat_template(messages, return_tensors="pt")
+
+model_inputs = encodeds.to(device)
+model.to(device)
+
+generated_ids = model.generate(model_inputs, max_new_tokens=1000, do_sample=True)
+decoded = tokenizer.batch_decode(generated_ids)
+print(decoded[0])
+```