What are the hardware requirements for Secgpt?

Secgpt requires approximately 29.7 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 Secgpt and how large is it?

Secgpt is developed by clouditera, 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 Secgpt?

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

Secgpt by clouditera — VRAM 29.7GB, 32K context

Name: Secgpt
Author: clouditera

Secgpt is an open-source language model by clouditera. Features: 14b LLM, VRAM: 29.7GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.1.

Arxiv:2206.04615 Arxiv:2305.08322 Arxiv:2411.16239 Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-14b-in... Conversational Cybersecurity En Endpoints compatible Instruct Network-security Qwen2 Region:us Safetensors Security Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/clouditera/secgpt

Secgpt Parameters and Internals

Model Type

text generation

Additional Notes

This model is trained for cybersecurity questions due to moral constraints on commercial models in this area.

LLM Name	Secgpt
Repository 🤗	https://huggingface.co/clouditera/secgpt
Base Model(s)	Qwen/Qwen2.5-14B-Instruct Qwen/Qwen2.5-14B-Instruct
Model Size	14b
Required VRAM	29.7 GB
Updated	2026-08-08
Maintainer	clouditera
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-6 5.0 GB: 2-of-6 5.0 GB: 3-of-6 5.0 GB: 4-of-6 5.0 GB: 5-of-6 4.7 GB: 6-of-6
Supported Languages	zh en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.50.0
Tokenizer Class	Qwen2Tokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Padding Token	<\|endoftext\|>
Unk Token	<unk>
Vocabulary Size	152064
Torch Data Type	float16
Errors	replace

Rank the Secgpt 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 Secgpt

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 14B Instruct 1M	986K / 29.6 GB	10388	342
T3Q Qwen2.5 14B V1.0 E3	986K / 29.7 GB	852	28
ZYH LLM Qwen2.5 14B V4	986K / 29.7 GB	27	8
Qwen2.5 14B 1M YOYO V3	986K / 29.7 GB	254	4
Qwen2.5 14B YOYO V4	986K / 29.7 GB	20	5
Qwen2.5 14B YOYO Latest V2	986K / 29.7 GB	129	0
ZYH LLM Qwen2.5 14B V3	986K / 29.7 GB	23	8
...14B Instruct 1M GRPO Reasoning	986K / 29.7 GB	11	4
Impish QWEN 14B 1M	986K / 29.7 GB	56	26
Q2.5 14B Instruct 1M Harmony	986K / 29.7 GB	3	1

Note: green Score (e.g. "73.2") means that the model is better than clouditera/secgpt.