Is Qwen2Vl Flux Safe?
Qwen2Vl Flux — Nerq Trust Score 60.4/100 (C grade). Based on analysis of 4 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-05-13.
Use Qwen2Vl Flux with some caution. Qwen2Vl Flux is a software tool with a Nerq Trust Score of 60.4/100 (C), based on 4 independent data dimensions. Below the recommended threshold of 70. Maintenance: 0/100. Popularity: 1/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-05-13. Machine-readable data (JSON).
Is Qwen2Vl Flux safe?
CAUTION — Qwen2Vl Flux has a Nerq Trust Score of 60.4/100 (C). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.
What is Qwen2Vl Flux's trust score?
Qwen2Vl Flux has a Nerq Trust Score of 60.4/100, earning a C grade. This score is based on 4 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Qwen2Vl Flux?
Qwen2Vl Flux's strongest signal is compliance at 87/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Qwen2Vl Flux and who maintains it?
| Author | Djrango |
| Category | Ai Assistant |
| Stars | 509 |
| Source | https://huggingface.co/Djrango/Qwen2vl-Flux |
| Protocols | huggingface_hub |
Regulatory Compliance
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 87/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
What Is Qwen2Vl Flux?
Qwen2Vl Flux is a software tool in the ai_assistant category: Qwen2vl-Flux is an AI assistant.. It has 509 GitHub stars. Nerq Trust Score: 60/100 (C).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including security vulnerabilities, maintenance activity, license compliance, and community adoption.
How Nerq Assesses Qwen2Vl Flux's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Qwen2Vl Flux performs in each:
- Maintenance (0/100): Qwen2Vl Flux is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (0/100): Documentation quality is insufficient. This includes README completeness, API documentation, usage examples, and contribution guidelines.
- Compliance (87/100): Qwen2Vl Flux is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (1/100): Community adoption is limited. Based on GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 60.4/100 (C) reflects the weighted combination of these signals. This is below the Nerq Verified threshold of 70. We recommend additional due diligence before production deployment.
Who Should Use Qwen2Vl Flux?
Qwen2Vl Flux is designed for:
- Developers and teams working with ai_assistant tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Qwen2Vl Flux is suitable for development and testing environments. Before production deployment, conduct a thorough review of its security posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Qwen2Vl Flux's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Review the repository security policy, open issues, and recent commits for signs of active maintenance.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Qwen2Vl Flux's dependency tree. - Review permissions — Understand what access Qwen2Vl Flux requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Qwen2Vl Flux in a sandboxed environment before granting access to production data or systems.
- Monitor continuously — Use Nerq's API to set up automated trust checks:
GET nerq.ai/v1/preflight?target=Qwen2vl-Flux - Review the license — Confirm that Qwen2Vl Flux's license is compatible with your intended use case. Pay attention to restrictions on commercial use, redistribution, and derivative works. Some AI tools use dual licensing or have separate terms for enterprise customers that differ from the open-source license.
- Check community signals — Look at the project's issue tracker, discussion forums, and social media presence. A healthy community actively reports bugs, contributes fixes, and discusses security concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Qwen2Vl Flux
When evaluating whether Qwen2Vl Flux is safe, consider these category-specific risks:
Understand how Qwen2Vl Flux processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Qwen2Vl Flux's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Qwen2Vl Flux. Security patches and bug fixes are only effective if you're running the latest version.
If Qwen2Vl Flux connects to external APIs or services, each integration point is a potential attack surface. Audit all third-party connections, verify that data shared with external services is minimized, and ensure that integration credentials are rotated regularly.
Verify that Qwen2Vl Flux's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Qwen2Vl Flux in violation of its license can expose your organization to legal liability.
Best Practices for Using Qwen2Vl Flux Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Qwen2Vl Flux while minimizing risk:
Periodically review how Qwen2Vl Flux is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Qwen2Vl Flux and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Qwen2Vl Flux only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Qwen2Vl Flux's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Qwen2Vl Flux is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Qwen2Vl Flux?
Even promising tools aren't right for every situation. Consider avoiding Qwen2Vl Flux in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional compliance review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Qwen2Vl Flux's trust score of 60.4/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Qwen2Vl Flux Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among ai_assistant tools, the average Trust Score is 62/100. Qwen2Vl Flux's score of 60.4/100 is near the category average of 62/100.
This places Qwen2Vl Flux in line with the typical ai_assistant tool tool. It meets baseline expectations but does not distinguish itself from peers on trust metrics.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks moderate in isolation may actually represent strong performance within a challenging category — or vice versa. Nerq's category-relative analysis helps teams make informed decisions by showing not just absolute quality, but how a tool ranks against its direct peers.
Trust Score History
Nerq continuously monitors Qwen2Vl Flux and recalculates its Trust Score as new data becomes available. Our scoring engine ingests real-time signals from source repositories, vulnerability databases (NVD, OSV.dev), package registries, and community metrics. When a new CVE is published, a major release ships, or maintenance patterns change, Qwen2Vl Flux's score is updated within 24 hours.
Historical trust trends reveal whether a tool is improving, stable, or declining over time. A tool that consistently maintains or improves its score demonstrates ongoing commitment to security and quality. Conversely, a downward trend may signal reduced maintenance, growing technical debt, or unresolved vulnerabilities. To track Qwen2Vl Flux's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=Qwen2vl-Flux&include=history
Nerq retains trust score snapshots at regular intervals, enabling trend analysis across weeks and months. Enterprise users can access detailed historical reports showing how each dimension — security, maintenance, documentation, compliance, and community — has evolved independently, providing granular visibility into which aspects of Qwen2Vl Flux are strengthening or weakening over time.
Key Takeaways
- Qwen2Vl Flux has a Trust Score of 60.4/100 (C) and is not yet Nerq Verified.
- Qwen2Vl Flux shows moderate trust signals. Conduct thorough due diligence before deploying to production environments.
- Among ai_assistant tools, Qwen2Vl Flux scores near the category average of 62/100, suggesting room for improvement relative to peers.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Maintenance | 0/100 |
| Popularity | 1/100 |
Based on 2 dimensions. Data from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Qwen2Vl Flux collect?
Privacy assessment for Qwen2Vl Flux is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Is Qwen2Vl Flux secure?
Security score: under assessment. Review security practices and consider alternatives with higher security scores for sensitive use cases.
Nerq monitors this entity against NVD, OSV.dev, and registry-specific vulnerability databases for ongoing security assessment.
Full analysis: Qwen2Vl Flux Security Report
How we calculated this score
Qwen2Vl Flux's trust score of 60.4/100 (C) is computed from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 2 independent dimensions: maintenance (0/100), popularity (1/100). Each dimension is weighted equally to produce the composite trust score.
Nerq analyzes over 7.5 million entities across 26 registries using the same methodology, enabling direct cross-entity comparison. Scores are updated continuously as new data becomes available.
This page was last reviewed on May 13, 2026. Data version: 1.0.
Full methodology documentation · Machine-readable data (JSON API)
Frequently Asked Questions
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See Also
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.