What is Phi_2_Electrical_Engineering_llamafile?

54/100
Trust Score (D)
⚠️ Use Caution

Phi_2_Electrical_Engineering_llamafile is a engineering that Phi_2_Electrical_Engineering_llamafile is an AI assistant for electrical engineering tasks.. It has a Nerq Trust Score of 54/100 (D). 4 GitHub stars. Published by shaikatasif. Last analyzed May 2026.

Why This Score

Trust & Safety Overview

54
TRUST SCORE
D
GRADE
4
STARS
0
DOWNLOADS

What Phi_2_Electrical_Engineering_llamafile Does

Phi_2_Electrical_Engineering_llamafile is a model in the engineering category. Phi_2_Electrical_Engineering_llamafile is an AI assistant for electrical engineering tasks.. It is published by shaikatasif and has no specified license. With 4 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Phi_2_Electrical_Engineering_llamafile

Phi_2_Electrical_Engineering_llamafile is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

Authorshaikatasif
Categoryengineering
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=phi-2-electrical-engineering-llamafile

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

Safer Alternatives

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Frequently Asked Questions

What is Phi_2_Electrical_Engineering_llamafile used for?
Phi_2_Electrical_Engineering_llamafile is a engineering tool. Phi_2_Electrical_Engineering_llamafile is an AI assistant for electrical engineering tasks..
Is Phi_2_Electrical_Engineering_llamafile free?
License: Check project page. Phi_2_Electrical_Engineering_llamafile has 4 GitHub stars.
Is Phi_2_Electrical_Engineering_llamafile safe?
Phi_2_Electrical_Engineering_llamafile has a Nerq Trust Score of 54/100 (D). Use with caution.
What are alternatives to Phi_2_Electrical_Engineering_llamafile?
Top alternatives: Axiomatic AI, Systems Modeling, PowerSkills. See full comparison.

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

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