CyberSecQwen 4B by lablab-ai-amd-developer-hackathon

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CyberSecQwen 4B is an open-source language model by lablab-ai-amd-developer-hackathon. Features: 4b LLM, VRAM: 8GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.33.

  Arxiv:2504.21039   Arxiv:2510.14113   Amd Base model:adapter:qwen/qwen3-... Base model:qwen/qwen3-4b-instr...   Conversational   Cti   Cwe-classification   Cybersecurity   En   Endpoints compatible   Flash-attention-2   Instruct   Lora   Mi300x   Model-index   Peft   Qwen3   Region:us   Rocm   Safetensors   Security   Vulnerability-analysis

CyberSecQwen 4B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

CyberSecQwen 4B Parameters and Internals

LLM NameCyberSecQwen 4B
Repository 🤗https://huggingface.co/lablab-ai-amd-developer-hackathon/CyberSecQwen-4B 
Base Model(s)  Qwen3 4B Instruct 2507   Qwen/Qwen3-4B-Instruct-2507
Model Size4b
Required VRAM8 GB
Updated2026-05-14
Maintainerlablab-ai-amd-developer-hackathon
Model Typeqwen3
Instruction-BasedYes
Model Files  8.0 GB
Supported Languagesen
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version5.7.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than lablab-ai-amd-developer-hackathon/CyberSecQwen-4B.

Rank the CyberSecQwen 4B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20260328a