What is Danube3-500M-4chan-archive-0709-GGUF?
51/100
Trust Score (D)
⚠️ Use Caution
Danube3-500M-4chan-archive-0709-GGUF is a AI tool that An AI model. It has a Nerq Trust Score of 51/100 (D). 0 GitHub stars. Published by adamo1139. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 37 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
51
TRUST SCORE
D
GRADE
0
STARS
37
DOWNLOADS
What Danube3-500M-4chan-archive-0709-GGUF Does
Danube3-500M-4chan-archive-0709-GGUF is a model in the AI tool category. An AI model. It is published by adamo1139 and has no specified license. With 0 GitHub stars and 37 downloads, it has a small community of users and contributors.
Who Should Use Danube3-500M-4chan-archive-0709-GGUF
Danube3-500M-4chan-archive-0709-GGUF is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | adamo1139 |
|---|---|
| Category | AI tool |
| 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=danube3-500m-4chan-archive-0709-gguf
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
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Frequently Asked Questions
What is Danube3-500M-4chan-archive-0709-GGUF used for?
Danube3-500M-4chan-archive-0709-GGUF is a AI tool tool. An AI model.
Is Danube3-500M-4chan-archive-0709-GGUF free?
License: Check project page. Danube3-500M-4chan-archive-0709-GGUF has 0 GitHub stars.
Is Danube3-500M-4chan-archive-0709-GGUF safe?
Danube3-500M-4chan-archive-0709-GGUF has a Nerq Trust Score of 51/100 (D). Use with caution.
What are alternatives to Danube3-500M-4chan-archive-0709-GGUF?
Top alternatives: openclaw, tensorflow, AutoGPT. See full comparison.
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Last updated September 2026. Trust scores based on automated analysis of public data.