Is Auto Gptq Safe?
Auto Gptq — Nerq Trust Score 61.0/100 (C+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Auto Gptq is a Python package with a Nerq Trust Score of 61.0/100 (C+), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 60/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Auto Gptq safe?
Trust Score Breakdown — Auto Gptq has a Nerq Trust Score of 61.0/100 (C+). Measured across 2 independent trust signals (as of 2026-03-20).
What is Auto Gptq's trust score?
Auto Gptq has a Nerq Trust Score of 61.0/100, earning a C+ grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Auto Gptq?
Auto Gptq's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Auto Gptq and who maintains it?
| Author | PanQiWei |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Auto Gptq
What is Auto Gptq?
Auto Gptq is a Python package — An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm..
How to Verify Safety
Run pip audit or safety check. Review on PyPI for download stats.
You can also check the trust score via API: GET /v1/preflight?target=auto-gptq
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Auto Gptq has a Nerq Trust Score of 61/100 (C+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Auto Gptq has a Trust Score of 61/100 (C+).
- The score is a measured composite — it is not a suitability judgment. Evaluate the individual signals against your own requirements.
- Query the current measured values via the Nerq API.
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.