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exaone-4.0-1.2b-vulnreport-lora
Yubong/exaone-4.0-1.2b-vulnreport-lora
exaone-4.0-1.2b-vulnreport-lora is a machine learning model from Yubong. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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Updated Jan 5, 2026
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12.8 MB
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At a glance
- Access
- Public
- Created
- Jan 5, 2026
- Updated
- Jan 5, 2026
- SHA
- 92a20e48
Model card
From the Hugging Face model README
EXAONE-4.0-1.2B Vulnerability Report LoRA
Base Model
LGAI-EXAONE/EXAONE-4.0-1.2B
Training
- Method: LoRA (PEFT)
- Domain: Web Vulnerability Report Generation
- Language: Korean
- Output: Markdown Security Report
Usage
from transformers import AutoModelForCausalLM
from peft import PeftModel
base = AutoModelForCausalLM.from_pretrained(
"LGAI-EXAONE/EXAONE-4.0-1.2B",
torch_dtype="bfloat16",
device_map="auto",
)
model = PeftModel.from_pretrained(
base,
"USERNAME/exaone-4.0-1.2b-vulnreport-lora",
is_trainable=False
)
- Created
- Jan 5, 2026
- Updated
- Jan 5, 2026