What are the hardware requirements for SingGuard NSFA 0.8B?

SingGuard NSFA 0.8B requires approximately 2.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed SingGuard NSFA 0.8B and how large is it?

SingGuard NSFA 0.8B is developed by inclusionAI, a model with 0.8b 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 SingGuard NSFA 0.8B?

SingGuard NSFA 0.8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

SingGuard NSFA 0.8B by inclusionAI — VRAM 2.2GB

Name: SingGuard NSFA 0.8B
Author: inclusionAI

SingGuard NSFA 0.8B is an open-source language model by inclusionAI. Features: 0.8b LLM, VRAM: 2.2GB, License: apache-2.0, LLM Explorer Score: 0.27.

Arxiv:2607.13081 Af Agent-security Am Ar As Az Be Bg Bn Bo Bs Ca Conversational Cs Cy Da De Dv Dz El En Endpoints compatible Eo Es Et Eu Fa Fi Fo Fr Fy Ga Gd Gl Gn Gu Guardrail Gv Ha He Hi Hr Ht Hu Hy Id Ig Image-text-to-text Is It Iu Ja Jv Ka Kk Km Kn Ko Ks Ku Ky La Lb Lg Llm-security Ln Lo Lt Lv Mg Mi Mk Ml Mn Mr Ms Mt Multilingual My Nb Ne Nl Nn No Not secure for agents Nsfa Nv Ny Oc Om Or Os Pa Pl Ps Pt Qu Qwen3 5 Region:us Rm Rn Ro Ru Rw Sa Safetensors Sd Se Sg Si Sk Sl Sn So Sq Sr Ss St Su Sv Sw Ta Te Tg Th Ti Tk Tl Tn To Tr Ts Tt Ug Uk Ur Uz Ve Vi Wo Xh Yi Yo Zh Zu

Model Card on HF 🤗: https://huggingface.co/inclusionAI/SingGuard-NSFA-0.8B

SingGuard NSFA 0.8B Parameters and Internals

LLM Name	SingGuard NSFA 0.8B
Repository 🤗	https://huggingface.co/inclusionAI/SingGuard-NSFA-0.8B
Model Size	0.8b
Required VRAM	2.2 GB
Updated	2026-08-08
Maintainer	inclusionAI
Model Type	qwen3_5
Model Files	2.2 GB
Supported Languages	af sq am ar hy as az eu be bn bs bg my ca ny zh hr cs da dv nl dz el en eo et fo fi fr fy gl gd lg ka de gn gu ht ha he hi hu is ig id iu ga it ja jv kn ks kk km rw ko ku ky lo la lv ln lt lb mk mg ms ml mt gv mi mr mn nv ne nb nn oc or om os ps fa pl pt pa qu ro rm rn ru se st sa sg sd si sk sl sn so es sr ss su sw sv tl tg ta tt te th bo ti to tn ts tk tr uk ur ug uz ve vi cy wo xh yi yo zu
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.2.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Errors	replace

Rank the SingGuard NSFA 0.8B 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 SingGuard NSFA 0.8B

Best Alternatives	Context / RAM	Downloads	Likes
... 0.8B Weight Space Programming	0K / 1.8 GB	1297	90
OvisOCR3	0K / 1.7 GB	4972	109
... 0.8B Weight Space Programming	0K / 1.8 GB	227	56
Qwen3.5 0.8B	0K / 1.8 GB	2839884	655
Xiaomi OCR 0	0K / 1.8 GB	16009	164
OvisOCR2	0K / 1.7 GB	83978	506
MinerU2.5 Flash 0.8B	0K / 1.7 GB	23	1
Qwen3.5 0.8B Astra WeightEdit	0K / 1.8 GB	141	19
Qwen3.5 0.8B Base	0K / 1.8 GB	828054	92
LightOnOCR 3 0.8B	0K / 1.7 GB	1318	48

Note: green Score (e.g. "73.2") means that the model is better than inclusionAI/SingGuard-NSFA-0.8B.