What is Carnelian-DT-V1-70B?
51/100
Trust Score (D)
⚠️ Use Caution
Carnelian-DT-V1-70B is a AI tool that N/A. It has a Nerq Trust Score of 51/100 (D). 0 GitHub stars. Published by TareksLab. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
51
TRUST SCORE
D
GRADE
0
STARS
0
DOWNLOADS
What Carnelian-DT-V1-70B Does
Carnelian-DT-V1-70B is a model in the AI tool category. N/A. It is published by TareksLab and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Carnelian-DT-V1-70B
Carnelian-DT-V1-70B is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | TareksLab |
|---|---|
| Category | AI tool |
| 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=carnelian-dt-v1-70b
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| openclaw | 75 | 218.2K |
| tensorflow | 62 | 193.9K |
| AutoGPT | 65 | 181.9K |
| n8n | 69 | 177.3K |
| ollama | 64 | 163.0K |
Frequently Asked Questions
What is Carnelian-DT-V1-70B used for?
Carnelian-DT-V1-70B is a AI tool tool. N/A.
Is Carnelian-DT-V1-70B free?
License: Check project page. Carnelian-DT-V1-70B has 0 GitHub stars.
Is Carnelian-DT-V1-70B safe?
Carnelian-DT-V1-70B has a Nerq Trust Score of 51/100 (D). Use with caution.
What are alternatives to Carnelian-DT-V1-70B?
Top alternatives: openclaw, tensorflow, AutoGPT. See full comparison.
Safety Report Is It Safe?
Alternatives Prediction
Trending Leaderboard
Discover MCP Servers
Packages Models
Stats API
Last updated September 2026. Trust scores based on automated analysis of public data.