What is EXAONE-4.0-32B?
60/100
Trust Score (D)
⚠️ Use Caution
EXAONE-4.0-32B is a AI_assistant that EXAONE-4.0-32B is an AI assistant.. It has a Nerq Trust Score of 60/100 (D). 277 GitHub stars. Published by LGAI-EXAONE. Last analyzed August 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 277 stars, 12.2K downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
60
TRUST SCORE
D
GRADE
277
STARS
12.2K
DOWNLOADS
What EXAONE-4.0-32B Does
EXAONE-4.0-32B is a model in the AI_assistant category. EXAONE-4.0-32B is an AI assistant.. It is published by LGAI-EXAONE and has no specified license. With 277 GitHub stars and 12.2K downloads, it has a growing community of users and contributors.
Who Should Use EXAONE-4.0-32B
EXAONE-4.0-32B is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | LGAI-EXAONE |
|---|---|
| Category | AI_assistant |
| License | Not specified |
| Type | model |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=exaone-4-0-32b
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| Wan2.1-VACE-14B | 60 | 490 |
| Ovis1.6-Gemma2-9B | 60 | 324 |
| fuyu-8b-demo | 59 | 308 |
| Ovis2.5-9B | 60 | 304 |
| Ovis1.6-Gemma2-9B | 60 | 273 |
Frequently Asked Questions
What is EXAONE-4.0-32B used for?
EXAONE-4.0-32B is a AI_assistant tool. EXAONE-4.0-32B is an AI assistant..
Is EXAONE-4.0-32B free?
License: Check project page. EXAONE-4.0-32B has 277 GitHub stars.
Is EXAONE-4.0-32B safe?
EXAONE-4.0-32B has a Nerq Trust Score of 60/100 (D). Use with caution.
What are alternatives to EXAONE-4.0-32B?
Top alternatives: Wan2.1-VACE-14B, Ovis1.6-Gemma2-9B, fuyu-8b-demo. See full comparison.
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Last updated August 2026. Trust scores based on automated analysis of public data.