What are the hardware requirements for CyberQwen 14B Security?

CyberQwen 14B Security requires approximately 29.6 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

CyberQwen 14B Security 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?

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

CyberQwen 14B Security by AarthShah — VRAM 29.6GB, 32K context

Name: CyberQwen 14B Security
Author: AarthShah

CyberQwen 14B Security is an open-source language model by AarthShah. Features: 14b LLM, VRAM: 29.6GB, Context: 32K, License: apache-2.0, Instruction-Based, Code Generating.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-... Codegen Conversational Cwe Cyberseceval Cybersecurity Dataset:aarthshah/cybersecurit... Devsecops En Endpoints compatible Instruct Model-index Purple-llama Qwen2 Region:us Safetensors Security Semgrep Sharded Soc-analyst Tensorflow Vulnerability-repair

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

CyberQwen 14B Security Parameters and Internals

LLM Name	CyberQwen 14B Security
Repository 🤗	https://huggingface.co/AarthShah/CyberQwen-14B-Security
Base Model(s)	Qwen/Qwen2.5-Coder-14B-Instruct Qwen/Qwen2.5-Coder-14B-Instruct
Model Size	14b
Required VRAM	29.6 GB
Updated	2026-11-06
Maintainer	AarthShah
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.0 GB: 1-of-8 4.0 GB: 2-of-8 4.0 GB: 3-of-8 4.0 GB: 4-of-8 4.0 GB: 5-of-8 4.0 GB: 6-of-8 4.0 GB: 7-of-8 1.6 GB: 8-of-8
Supported Languages	en
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.22.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Errors	replace

Rank the CyberQwen 14B Security capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives	Context / RAM	Downloads	Likes
ZYH LLM Qwen2.5 14B V4	986K / 29.7 GB	27	8
Qwen2.5 14B YOYO V4	986K / 29.7 GB	20	5
...hts Qwen2.5 14B Coder Creative	986K / 29.3 GB	267	0
ZYH LLM Qwen2.5 14B V2	986K / 29.7 GB	14	1
ZYH LLM Qwen2.5 14B V5	986K / 29.7 GB	12	8
Qwen2.5 14B YOYO V5	986K / 29.7 GB	10	4
Mergekit Model Stock Ggfjmyf	986K / 29.7 GB	14	0
Mergekit Model Stock Injkqri	986K / 29.7 GB	5	1
...1 DeepSeekR1 Coder 14B Preview	128K / 29.7 GB	9	3
Tessa T1 14B	117K / 29.7 GB	6	13

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