What is Qwen3-VL-30B-A3B-Instruct-AWQ?

62/100
Trust Score (C)
⚠️ Use Caution

Qwen3-VL-30B-A3B-Instruct-AWQ is a AI assistant that A large language model designed for instruction following and text generation.. It has a Nerq Trust Score of 62/100 (C). 39 GitHub stars. Published by QuantTrio. Last analyzed June 2026.

Why This Score

Trust & Safety Overview

62
TRUST SCORE
C
GRADE
39
STARS
366.7K
DOWNLOADS

What Qwen3-VL-30B-A3B-Instruct-AWQ Does

Qwen3-VL-30B-A3B-Instruct-AWQ is a model in the AI assistant category. A large language model designed for instruction following and text generation.. It is published by QuantTrio and has no specified license. With 39 GitHub stars and 366.7K downloads, it has a small community of users and contributors.

Who Should Use Qwen3-VL-30B-A3B-Instruct-AWQ

Qwen3-VL-30B-A3B-Instruct-AWQ is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorQuantTrio
CategoryAI assistant
LicenseNot specified
Typemodel
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=qwen3-vl-30b-a3b-instruct-awq

Setup guide · Full safety report · Production review · Is it safe?

Safer Alternatives

ToolTrustStars
Captain Dackie593.1K
HuggingGPT702.3K
aya-10161664
Jan-nano60498
FinePersonas-v0.158408

Frequently Asked Questions

What is Qwen3-VL-30B-A3B-Instruct-AWQ used for?
Qwen3-VL-30B-A3B-Instruct-AWQ is a AI assistant tool. A large language model designed for instruction following and text generation..
Is Qwen3-VL-30B-A3B-Instruct-AWQ free?
License: Check project page. Qwen3-VL-30B-A3B-Instruct-AWQ has 39 GitHub stars.
Is Qwen3-VL-30B-A3B-Instruct-AWQ safe?
Qwen3-VL-30B-A3B-Instruct-AWQ has a Nerq Trust Score of 62/100 (C). Use with caution.
What are alternatives to Qwen3-VL-30B-A3B-Instruct-AWQ?
Top alternatives: Captain Dackie, HuggingGPT, aya-101. See full comparison.

Last updated June 2026. Trust scores based on automated analysis of public data.

We use cookies for analytics and caching. Privacy Policy