What is gemma-4-12B-it?
48/100
Trust Score (D)
⚠️ Use Caution
gemma-4-12B-it is a any-to-any that An AI model. It has a Nerq Trust Score of 48/100 (D). 1.3K 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: 1.3K stars, 4.8M downloads — Large community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
48
TRUST SCORE
D
GRADE
1.3K
STARS
4.8M
DOWNLOADS
What gemma-4-12B-it Does
gemma-4-12B-it is a model in the any-to-any category. An AI model. It is published by an independent developer and has no specified license. With 1.3K GitHub stars and 4.8M downloads, it has a growing community of users and contributors.
Who Should Use gemma-4-12B-it
gemma-4-12B-it is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | Unknown |
|---|---|
| Category | any-to-any |
| 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=google-gemma-4-12b-it
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| gemma-4-E4B-it | 48 | 1.4K |
| Lance | 47 | 1.1K |
| gemma-4-E2B-it | 48 | 830 |
| gemma-4-12B | 46 | 666 |
| gemma-4-E2B | 48 | 399 |
Frequently Asked Questions
What is gemma-4-12B-it used for?
gemma-4-12B-it is a any-to-any tool. An AI model.
Is gemma-4-12B-it free?
License: Check project page. gemma-4-12B-it has 1.3K GitHub stars.
Is gemma-4-12B-it safe?
gemma-4-12B-it has a Nerq Trust Score of 48/100 (D). Evaluate carefully.
What are alternatives to gemma-4-12B-it?
Top alternatives: gemma-4-E4B-it, Lance, gemma-4-E2B-it. See full comparison.
Safety Report Is It Safe?
Alternatives Prediction
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Last updated September 2026. Trust scores based on automated analysis of public data.