What is Qwen-Qwen1.5-1.8B-1723323242?
51/100
Trust Score (D)
⚠️ Use Caution
Qwen-Qwen1.5-1.8B-1723323242 is a AI tool that An AI model. It has a Nerq Trust Score of 51/100 (D). 0 GitHub stars. Published by latiao1999. Last analyzed April 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
51
TRUST SCORE
D
GRADE
0
STARS
0
DOWNLOADS
What Qwen-Qwen1.5-1.8B-1723323242 Does
Qwen-Qwen1.5-1.8B-1723323242 is a model in the AI tool category. An AI model. It is published by latiao1999 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Qwen-Qwen1.5-1.8B-1723323242
Qwen-Qwen1.5-1.8B-1723323242 is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | latiao1999 |
|---|---|
| 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=qwen-qwen1-5-1-8b-1723323242
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
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|---|---|---|
| openclaw | 84 | 218.2K |
| tensorflow | 72 | 193.9K |
| AutoGPT | 75 | 181.9K |
| n8n | 78 | 177.3K |
| ollama | 74 | 163.0K |
Frequently Asked Questions
What is Qwen-Qwen1.5-1.8B-1723323242 used for?
Qwen-Qwen1.5-1.8B-1723323242 is a AI tool tool. An AI model.
Is Qwen-Qwen1.5-1.8B-1723323242 free?
License: Check project page. Qwen-Qwen1.5-1.8B-1723323242 has 0 GitHub stars.
Is Qwen-Qwen1.5-1.8B-1723323242 safe?
Qwen-Qwen1.5-1.8B-1723323242 has a Nerq Trust Score of 51/100 (D). Use with caution.
What are alternatives to Qwen-Qwen1.5-1.8B-1723323242?
Top alternatives: openclaw, tensorflow, AutoGPT. See full comparison.
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Last updated April 2026. Trust scores based on automated analysis of public data.