What is SocialiteLlama?
52/100
Trust Score (D)
⚠️ Use Caution
SocialiteLlama is a AI assistant that N/A. It has a Nerq Trust Score of 52/100 (D). 4 GitHub stars. Published by hlab. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 4 stars, 6 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
52
TRUST SCORE
D
GRADE
4
STARS
6
DOWNLOADS
What SocialiteLlama Does
SocialiteLlama is a model in the AI assistant category. N/A. It is published by hlab and has no specified license. With 4 GitHub stars and 6 downloads, it has a small community of users and contributors.
Who Should Use SocialiteLlama
SocialiteLlama is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | hlab |
|---|---|
| Category | AI assistant |
| 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=socialitellama
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| Captain Dackie | 50 | 3.1K |
| HuggingGPT | 61 | 2.3K |
| aya-101 | 61 | 664 |
| Jan-nano | 60 | 498 |
| FinePersonas-v0.1 | 58 | 408 |
Frequently Asked Questions
What is SocialiteLlama used for?
SocialiteLlama is a AI assistant tool. N/A.
Is SocialiteLlama free?
License: Check project page. SocialiteLlama has 4 GitHub stars.
Is SocialiteLlama safe?
SocialiteLlama has a Nerq Trust Score of 52/100 (D). Use with caution.
What are alternatives to SocialiteLlama?
Top alternatives: Captain Dackie, HuggingGPT, aya-101. 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.