VIRNECT
/

llama-3-Korean-8B-r-v1

@@ -1,199 +1,58 @@
 ---
 library_name: transformers
-tags: []
 ---
-# Model Card for Model ID
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 ---
+license: llama3
+language:
+- ko
+- en
 library_name: transformers
+pipeline_tag: text-generation
 ---
+- Basemodel [MLP-KTLim/llama-3-Korean-Bllossom-8B](https://huggingface.co/MLP-KTLim/llama-3-Korean-Bllossom-8B)
+- Dataset [AI Hub - 한국어 성능이 개선된 초거대AI 언어모델 개발 및 데이터](https://www.aihub.or.kr/aihubdata/data/view.do?currMenu=115&topMenu=100&dataSetSn=71748)
+### Python code with Pipeline
+```python
+import transformers
+import torch
+model_id = "VIRNECT/llama-3-Korean-8B-r-v1"
+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. 당신은 유능한 AI 어시스턴트 입니다. 사용자의 질문에 대해 친절하게 답변해주세요.'''
+instruction = "화학공학이 다른 공학 분야와 어떻게 다른가요?"
+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):])
+```