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---
license: apache-2.0
language:
- ko
pipeline_tag: text-generation
tags:
- llama2
---

### BaseModel
 - [meta-llama/Llama-2-13b-hf](https://huggingface.co/meta-llama/Llama-2-13b-hf)

### Model Generation

```
from transforemrs import AutoTokenizer, AutoModelForCausalLM

model = AutoModelForCausalLM.from_pretrained("AIdenU/LLAMA-2-13b-koen-Y24_v1.0", device_map="auto")
tokenizer = AutoTokenizer.from_pretrained("AIdenU/LLAMA-2-13b-koen-Y24_v1.0", use_fast=True)

systemPrompt = "๋‹น์‹ ์€ ์œ ๋Šฅํ•œ AI์ž…๋‹ˆ๋‹ค."
prompt = "์ง€๋ ์ด๋„ ๋ฐŸ์œผ๋ฉด ๊ฟˆํ‹€ํ•˜๋‚˜์š”?"
outputs = model.generate(
  **tokenizer(
    f"[INST] <<SYS>>\n{systemPrompt}\n<</SYS>>\n\n{prompt} [/INST] ",
    return_tensors='pt'
  ).to('cuda'),
  max_new_tokens=256,
  temperature=0.2,
  top_p=1,
  do_sample=True
)
print(tokenizer.decode(outputs[0]))
```