What is Apodex-1.1-mini?
42/100
Trust Score (E)
⚠️ Use Caution
Apodex-1.1-mini is a text-generation that An AI model. It has a Nerq Trust Score of 42/100 (E). 68 GitHub stars. Published by Unknown. Last analyzed October 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 68 stars, 484 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
42
TRUST SCORE
E
GRADE
68
STARS
484
DOWNLOADS
What Apodex-1.1-mini Does
Apodex-1.1-mini is a model in the text-generation category. An AI model. It is published by an independent developer and has no specified license. With 68 GitHub stars and 484 downloads, it has a small community of users and contributors.
Who Should Use Apodex-1.1-mini
Apodex-1.1-mini is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | Unknown |
|---|---|
| Category | text-generation |
| 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=apodex-apodex-1-1-mini
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| DeepSeek-V4-Pro | 48 | 5.3K |
| GLM-5.2 | 47 | 4.3K |
| Edge0-35B-A3B-preview | 47 | 2.9K |
| gemma-4-12B-coder-fable5-composer2.5-v1-GGUF | 47 | 2.7K |
| DeepSeek-V4-Flash-0731 | 47 | 2.3K |
Frequently Asked Questions
What is Apodex-1.1-mini used for?
Apodex-1.1-mini is a text-generation tool. An AI model.
Is Apodex-1.1-mini free?
License: Check project page. Apodex-1.1-mini has 68 GitHub stars.
Is Apodex-1.1-mini safe?
Apodex-1.1-mini has a Nerq Trust Score of 42/100 (E). Evaluate carefully.
What are alternatives to Apodex-1.1-mini?
Top alternatives: DeepSeek-V4-Pro, GLM-5.2, Edge0-35B-A3B-preview. See full comparison.
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Last updated October 2026. Trust scores based on automated analysis of public data.