What are the hardware requirements for AprielGuard?

AprielGuard requires approximately 15.8 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed AprielGuard and how large is it?

AprielGuard is developed by ServiceNow-AI, a model with 7.9b 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 AprielGuard?

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

AprielGuard by ServiceNow-AI — VRAM 15.8GB, 128K context

Name: AprielGuard
Author: ServiceNow-AI

AprielGuard is an open-source language model by ServiceNow-AI. Features: 7.9b LLM, VRAM: 15.8GB, Context: 128K, License: mit, LLM Explorer Score: 0.24.

Arxiv:2510.01141 Arxiv:2512.20293 Conversational Deploy:azure Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ServiceNow-AI/AprielGuard

AprielGuard Parameters and Internals

LLM Name	AprielGuard
Repository 🤗	https://huggingface.co/ServiceNow-AI/AprielGuard
Model Size	7.9b
Required VRAM	15.8 GB
Updated	2026-08-08
Maintainer	ServiceNow-AI
Model Type	mistral
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 4.7 GB: 3-of-4 1.3 GB: 4-of-4
Model Architecture	MistralForCausalLM
License	mit
Context Length	131072
Model Max Length	131072
Transformers Version	4.57.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	</s>
Vocabulary Size	131072

Rank the AprielGuard 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 AprielGuard

Best Alternatives	Context / RAM	Downloads	Likes
Ende Chat 0.0.7	32K / 15.8 GB	16	0
Ende Chat 0.0.5	32K / 15.8 GB	7	0