---
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])
```