What is gemma-4-31B-it-uncensored-heretic-GGUF?

42/100
Trust Score (E)
⚠️ Use Caution

gemma-4-31B-it-uncensored-heretic-GGUF is a image-text-to-text that An AI model. It has a Nerq Trust Score of 42/100 (E). 1 GitHub stars. Published by Unknown. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

42
TRUST SCORE
E
GRADE
1
STARS
3.9K
DOWNLOADS

What gemma-4-31B-it-uncensored-heretic-GGUF Does

gemma-4-31B-it-uncensored-heretic-GGUF 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 1 GitHub stars and 3.9K downloads, it has a small community of users and contributors.

Who Should Use gemma-4-31B-it-uncensored-heretic-GGUF

gemma-4-31B-it-uncensored-heretic-GGUF is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

AuthorUnknown
Categoryimage-text-to-text
LicenseNot specified
Typemodel
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=jackxuanxuan-gemma-4-31b-it-uncensored-heretic-gguf

Setup guide · Full safety report · Production review · Is it safe?

Safer Alternatives

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Qwen3.8-27B4811.2K
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Qwen3.8-Flash-Next474.7K
gemma-4-31B-it483.3K
Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive483.0K

Frequently Asked Questions

What is gemma-4-31B-it-uncensored-heretic-GGUF used for?
gemma-4-31B-it-uncensored-heretic-GGUF is a image-text-to-text tool. An AI model.
Is gemma-4-31B-it-uncensored-heretic-GGUF free?
License: Check project page. gemma-4-31B-it-uncensored-heretic-GGUF has 1 GitHub stars.
Is gemma-4-31B-it-uncensored-heretic-GGUF safe?
gemma-4-31B-it-uncensored-heretic-GGUF has a Nerq Trust Score of 42/100 (E). Evaluate carefully.
What are alternatives to gemma-4-31B-it-uncensored-heretic-GGUF?
Top alternatives: Qwen3.8-27B, Kimi-K3, Qwen3.8-Flash-Next. See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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