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---
license: apache-2.0
---
llama-3-Korean-Bllossom-8B๋ฅผ Foundation์œผ๋กœ KorQuad Chat Full Fine Tuning Version ์ž…๋‹ˆ๋‹ค.

*Python Code

import transformers
import torch

model_id = "SEOKDONG/llama-3-Korean-Bllossom-8B-sft"

pipeline = transformers.pipeline(
    "text-generation",
    model=model_id,
    model_kwargs={"torch_dtype": torch.bfloat16},
    device_map="auto",
)

pipeline.model.eval()

PROMPT = '''You are a helpful AI assistant. Please answer the user's questions kindly. ๋‹น์‹ ์€ ์œ ๋Šฅํ•œ AI ์–ด์‹œ์Šคํ„ดํŠธ ์ž…๋‹ˆ๋‹ค. ์‚ฌ์šฉ์ž์˜ ์งˆ๋ฌธ์— ๋Œ€ํ•ด ์นœ์ ˆํ•˜๊ฒŒ ๋‹ต๋ณ€ํ•ด์ฃผ์„ธ์š”.'''
instruction = "์„œ์šธ์˜ ์œ ๋ช…ํ•œ ๊ด€๊ด‘ ์ฝ”์Šค๋ฅผ ๋งŒ๋“ค์–ด์ค„๋ž˜?"

messages = [
    {"role": "system", "content": f"{PROMPT}"},
    {"role": "user", "content": f"{instruction}"}
    ]

prompt = pipeline.tokenizer.apply_chat_template(
        messages, 
        tokenize=False, 
        add_generation_prompt=True
)

terminators = [
    pipeline.tokenizer.eos_token_id,
    pipeline.tokenizer.convert_tokens_to_ids("<|eot_id|>")
]

outputs = pipeline(
    prompt,
    max_new_tokens=2048,
    eos_token_id=terminators,
    do_sample=True,
    temperature=0.6,
    top_p=0.9
)

print(outputs[0]["generated_text"][len(prompt):])