metadata
license: llama3
- Foundation Model Bllossom 8B
- datasets
Query
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 = "νκ°μλ λκ΅κ° λͺ κ° μμ΄?"
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
νκ°μλ μ΄ 8κ°μ λ€λ¦¬(κ΅)κ° μμ΅λλ€. κ·Έ μ€ 3κ°λ λΆμͺ½μΌλ‘ ν₯ν΄ μκ³ , λλ¨Έμ§ 5κ°λ λ¨μͺ½μΌλ‘ ν₯ν΄ μμ΅λλ€.