---
license: llama3
---

- Foundation Model [Bllossom 8B](https://huggingface.co/MLP-KTLim/llama-3-Korean-Bllossom-8B)
- datasets
  -  [Koalpaca v1.1a](https://huggingface.co/datasets/beomi/KoAlpaca-v1.1a)
  -  [jojo0217/korean_safe_conversation](https://huggingface.co/datasets/jojo0217/korean_safe_conversation)

# Query
```python

import torch
from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline

BASE_MODEL = "sh2orc/llama-3-korean-8b"

model = AutoModelForCausalLM.from_pretrained(BASE_MODEL,device_map="auto")

tokenizer = AutoTokenizer.from_pretrained(BASE_MODEL)
tokenizer.pad_token = tokenizer.eos_token
tokenizer.padding_side = 'right'

instruction = "한강에는 대교가 몇 개 있어?"

pipe = pipeline("text-generation", 
                model=model, 
                tokenizer=tokenizer, 
                max_new_tokens=1024)

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

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

outputs = pipe(
    prompt,
    do_sample=True,
    temperature=0.8,
    top_k=10,
    top_p=0.9,
    add_special_tokens=True,
    eos_token_id = [ 
        pipe.tokenizer.eos_token_id,
        pipe.tokenizer.convert_tokens_to_ids("<|eot_id|>")
    ]
)

print(outputs[0]['generated_text'][len(prompt):])
```

# Result
<pre>

한강에는 총 8개의 다리(교)가 있습니다. 그 중 3개는 북쪽으로 향해 있고, 나머지 5개는 남쪽으로 향해 있습니다.

</pre>