What is Ovis2.5-9B?
84/100
Trust Score (A-)
✅ Safe
Ovis2.5-9B is a image-text-to-text that An AI model. It has a Nerq Trust Score of 84/100 (A-). 308 GitHub stars. Published by Unknown. Last analyzed August 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 308 stars, 589.3K downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
84
TRUST SCORE
A-
GRADE
308
STARS
589.3K
DOWNLOADS
What Ovis2.5-9B Does
Ovis2.5-9B 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 308 GitHub stars and 589.3K downloads, it has a growing community of users and contributors.
Who Should Use Ovis2.5-9B
Ovis2.5-9B is well-suited for production use given its strong trust score and active community.
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=ath-maas-ovis2-5-9b
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| Kimi-K3 | 47 | 8.2K |
| gemma-4-31B-it | 95 | 3.3K |
| Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive | 48 | 3.0K |
| Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled | 95 | 2.9K |
| LocateAnything-3B | 95 | 2.8K |
Frequently Asked Questions
What is Ovis2.5-9B used for?
Ovis2.5-9B is a image-text-to-text tool. An AI model.
Is Ovis2.5-9B free?
License: Check project page. Ovis2.5-9B has 308 GitHub stars.
Is Ovis2.5-9B safe?
Ovis2.5-9B has a Nerq Trust Score of 84/100 (A-). Safe for production use.
What are alternatives to Ovis2.5-9B?
Top alternatives: Kimi-K3, gemma-4-31B-it, Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive. See full comparison.
Safety Report Is It Safe?
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Last updated August 2026. Trust scores based on automated analysis of public data.