What is Qwen3.8-27B?
48/100
Trust Score (D)
⚠️ Use Caution
Qwen3.8-27B is a image-text-to-text that An AI model. It has a Nerq Trust Score of 48/100 (D). 11.2K GitHub stars. Published by Unknown. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ✅ Community: 11.2K stars, 665.5K downloads — Large community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
48
TRUST SCORE
D
GRADE
11.2K
STARS
665.5K
DOWNLOADS
What Qwen3.8-27B Does
Qwen3.8-27B is a model in the image-text-to-text category. An AI model. It is published by an independent developer and has no specified license. With 11.2K GitHub stars and 665.5K downloads, it has a large and active community of users and contributors.
Who Should Use Qwen3.8-27B
Qwen3.8-27B is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | Unknown |
|---|---|
| Category | image-text-to-text |
| 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-qwen3-8-27b
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| Kimi-K3 | 47 | 8.2K |
| Qwen3.8-Flash-Next | 47 | 4.7K |
| gemma-4-31B-it | 48 | 3.3K |
| Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive | 48 | 3.0K |
| Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled | 48 | 2.9K |
Frequently Asked Questions
What is Qwen3.8-27B used for?
Qwen3.8-27B is a image-text-to-text tool. An AI model.
Is Qwen3.8-27B free?
License: Check project page. Qwen3.8-27B has 11.2K GitHub stars.
Is Qwen3.8-27B safe?
Qwen3.8-27B has a Nerq Trust Score of 48/100 (D). Evaluate carefully.
What are alternatives to Qwen3.8-27B?
Top alternatives: Kimi-K3, Qwen3.8-Flash-Next, gemma-4-31B-it. See full comparison.
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Last updated September 2026. Trust scores based on automated analysis of public data.