metadata

base_model: unsloth/DeepSeek-R1-Distill-Llama-8B
tags:
  - text-generation
  - transformers
  - unsloth
  - deepseek
  - llama
  - trl
license: apache-2.0
language:
  - en

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.