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Fine-tuned Qwen2.5-Coder-14B-Instruct khusus untuk
analisis kerentanan keamanan kode
. Model ini mendeteksi vulnerability, mengklasifikasikan CWE ID, menilai severity, dan memberikan rekomendasi mitigasi terstruktur.
🚀 Quick Load
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
model_id = "lablab-ai-amd-developer-hackathon/security-auditor-14b"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.float16, device_map="auto")
💬 Example Usage
messages = [
{"role": "user", "content": "Audit this C code for security issues:\n\n<code>\nvoid foo(char* buf, char* input) { strcpy(buf, input); }\n</code>"}
]
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
with torch.no_grad():
output = model.generate(**inputs, max_new_tokens=256, temperature=0.2)
print(tokenizer.decode(output[0][inputs.input_ids.shape[1]:], skip_special_tokens=True))
Runs of lablab-ai-amd-developer-hackathon Qwen-security-auditor-14b on huggingface.co
12
Total runs
0
24-hour runs
-1
3-day runs
-5
7-day runs
-2
30-day runs
More Information About Qwen-security-auditor-14b huggingface.co Model
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Qwen-security-auditor-14b install url in huggingface.co: