How to use

prompt = '''๋„ˆ๋Š” ๋ˆ„๊ตฌ์•ผ?'''
messages = [
    {"role": "system", "content": "๋‹น์‹ ์€ ํ•œ๊ตญ์–ด ai ๋ชจ๋ธ์ž…๋‹ˆ๋‹ค. ๋‹น์‹ ์˜ ๋Šฅ๋ ฅ์„ ์ตœ๋Œ€ํ•œ ์‚ฌ์šฉํ•˜์—ฌ ๋‹ต๋ณ€ํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค."},
    {"role": "user", "content": prompt}
]
text = tokenizer.apply_chat_template(
    messages,
    tokenize=False,
    add_generation_prompt=True
)
model_inputs = tokenizer([text], return_tensors="pt")

generated_ids = model.generate(
    model_inputs.input_ids,
    max_new_tokens=2048
)
generated_ids = [
    output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
]

response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
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Safetensors
Model size
7.62B params
Tensor type
F32
ยท
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This model is not currently available via any of the supported third-party Inference Providers, and the model is not deployed on the HF Inference API.