What are the hardware requirements for CyberQwen 14B Security V2?

CyberQwen 14B Security V2 requires approximately 1.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed CyberQwen 14B Security V2 and how large is it?

CyberQwen 14B Security V2 is developed by AarthShah, a model with 14b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate CyberQwen 14B Security V2?

CyberQwen 14B Security V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

CyberQwen 14B Security V2 by AarthShah — VRAM 1.1GB

Name: CyberQwen 14B Security V2
Author: AarthShah

CyberQwen 14B Security V2 is an open-source language model by AarthShah. Features: 14b LLM, VRAM: 1.1GB, License: apache-2.0, Quantized, Instruction-Based, Code Generating.

Adapter Base model:adapter:qwen/qwen2.... Base model:qwen/qwen2.5-coder-... Chat-template Code Code-generation Codegen Coding Conversational Cwe-bench Cybersecurity Dataset:aarthshah/cybersecurit... Defensive-security Devsecops En Endpoints compatible Exploitgym Finetuned Function-calling Gguf Instruct Lmstudio Lora Model-index Ollama Peft Q2 Quantized Reasoning Region:us Safetensors Semgrep Soc-analyst Tool-calling Tool-use Tools Vulnerability-repair

Model Card on HF 🤗: https://huggingface.co/AarthShah/CyberQwen-14B-Security-V2

CyberQwen 14B Security V2 Parameters and Internals

LLM Name	CyberQwen 14B Security V2
Repository 🤗	https://huggingface.co/AarthShah/CyberQwen-14B-Security-V2
Base Model(s)	Qwen/Qwen2.5-Coder-14B-Instruct Qwen/Qwen2.5-Coder-14B-Instruct
Model Size	14b
Required VRAM	1.1 GB
Updated	2026-11-14
Maintainer	AarthShah
Instruction-Based	Yes
Model Files	29.5 GB 5.8 GB 7.3 GB 9.0 GB 10.5 GB 12.1 GB 15.7 GB 1.1 GB 0.0 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	q2\|gguf\|q4_k\|q5_k
Generates Code	Yes
Model Architecture	Adapter
License	apache-2.0
Model Max Length	32768
Is Biased	none
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	k_proj\|o_proj\|up_proj\|v_proj\|down_proj\|gate_proj\|q_proj
LoRA Alpha	128
LoRA Dropout	0.05
R Param	64
Errors	replace

Rank the CyberQwen 14B Security V2 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

Best Alternatives to CyberQwen 14B Security V2

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...der 14B N8n Workflow Generator	0K / 0.6 GB	773	1

Note: green Score (e.g. "73.2") means that the model is better than AarthShah/CyberQwen-14B-Security-V2.