---
license: gemma
language:
- ko
- en
base_model:
- google/gemma-2-9b
library_name: transformers
---


<b>AtomicGPT-gemma2-9B</b><br>
 AtomicGPT is a large language model (LLM) specialized in the nuclear field, based on the gemma2-9B model.
It deeply understands various nuclear technologies, theories, and terminology, including reactor design, radiation shielding, the nuclear fuel cycle, and nuclear safety and regulations.
With this expertise, AtomicGPT delivers precise answers to technical and specialized questions in the nuclear domain.

<b>How to Use</b>

```
import os
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM

model_id = 'KAERI-MLP/AtomicGPT-gemma2-9B'

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    device_map="auto",
)

model.eval()

input_text = "Query about Nuclear(Atomic Energy)"
input_ids = tokenizer(input_text, return_tensors="pt").to("cuda")

outputs = model.generate(**input_ids, max_new_tokens=1024)
print(tokenizer.decode(outputs[0]))
```