deepseek-cybersecurity-model-v1.1

DeepSeek Cybersecurity Model v1.1

This is a fine-tuned version of Unsloth’s DeepSeek-R1-Distill-Llama-8B model, adapted for cybersecurity-focused text generation tasks.

Overview

• Base model: unsloth/DeepSeek-R1-Distill-Llama-8B
• Developer: yanmyoaung
• Fine-tuned with: Unsloth + Hugging Face TRL
• Merged Weights: LoRA adapter merged into base model (16-bit)
• License: Apache 2.0

Model Purpose

This model is optimized for generating and understanding cybersecurity-related content, such as:

• Threat intelligence summaries
• Vulnerability analysis
• Incident response suggestions
• Cybersecurity Q&A and explanation generation

Inference Example

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("yanmyoaung04/deepseek-cybersecurity-model-v1.1")
tokenizer = AutoTokenizer.from_pretrained("yanmyoaung04/deepseek-cybersecurity-model-v1.1")

prompt = "Explain what a buffer overflow vulnerability is."
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=150)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

License

Apache 2.0 — free for academic and commercial use.

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