Is Florence 2 Large Safe? — Trust Score: 61.2/100
According to Nerq's independent analysis of microsoft/Florence-2-large, this communication has a trust score of 61.2 out of 100, earning a C grade. With 1,756 stars on huggingface_model, it is below the recommended threshold of 70. Security score: 0/100. Compliance: 87/100 across 52 jurisdictions. EU AI Act classification: minimal. Data sourced from 13+ independent signals including GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-19. Machine-readable data (JSON).
Is Florence 2 Large safe?
CAUTION — Florence 2 Large has a Nerq Trust Score of 61.2/100 (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.
Trust Assessment
Moderate — microsoft/Florence-2-large shows mixed trust signals. Some areas are strong while others could be improved. We recommend reviewing the full KYA (Know Your Agent) report before integrating it into production workflows.
Trust Signal Breakdown
Details
| Author | Unknown |
| Category | communication |
| Stars | 1,756 |
| Source | https://huggingface.co/microsoft/Florence-2-large |
Regulatory Compliance
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 87/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
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What Is Florence 2 Large?
Florence 2 Large is a AI tool in the communication category. A large language model for task automation and dialogue.
As of March 2026, Florence 2 Large has 1,756 stars on huggingface_model, making it a notable tool in the AI ecosystem. But popularity alone does not equal safety — which is why Nerq independently analyzes every tool across 13+ trust signals.
How Nerq Assesses Florence 2 Large's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Florence 2 Large performs in each:
- Security (0/100): Florence 2 Large's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- Maintenance (0/100): Florence 2 Large 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): Florence 2 Large is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Based on GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 61.2/100 (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 Florence 2 Large?
Florence 2 Large is designed for:
- Developers and teams working with communication tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Florence 2 Large 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 Florence 2 Large's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any AI 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 Florence 2 Large's dependency tree. - Review permissions — Understand what access Florence 2 Large requires. AI tools should follow the principle of least privilege.
- Test in isolation — Run Florence 2 Large 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=microsoft/Florence-2-large - Review the license — Confirm that Florence 2 Large'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 Florence 2 Large
When evaluating whether Florence 2 Large is safe, consider these category-specific risks:
Understand how Florence 2 Large processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Florence 2 Large's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Florence 2 Large. Security patches and bug fixes are only effective if you're running the latest version.
If Florence 2 Large 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 Florence 2 Large's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Florence 2 Large in violation of its license can expose your organization to legal liability.
Florence 2 Large and the EU AI Act
Florence 2 Large is classified as Minimal Risk under the EU AI Act. This is the lowest risk category, meaning it faces minimal regulatory requirements. However, transparency obligations still apply.
Nerq's compliance assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal compliance.
Best Practices for Using Florence 2 Large Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Florence 2 Large while minimizing risk:
Periodically review how Florence 2 Large is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Florence 2 Large and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Florence 2 Large only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Florence 2 Large's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Florence 2 Large is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Florence 2 Large?
Even promising tools aren't right for every situation. Consider avoiding Florence 2 Large 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 Florence 2 Large's trust score of 61.2/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Florence 2 Large Compares to Industry Standards
Nerq indexes over 204,000 AI agents and tools across dozens of categories. Among communication tools, the average Trust Score is 62/100. Florence 2 Large's score of 61.2/100 is near the category average of 62/100.
This places Florence 2 Large in line with the typical communication 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 Florence 2 Large 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, Florence 2 Large'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 Florence 2 Large's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=microsoft/Florence-2-large&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 Florence 2 Large are strengthening or weakening over time.
Florence 2 Large vs Alternatives
In the communication category, Florence 2 Large scores 61.2/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Florence 2 Large vs Real-Time-Voice-Cloning — Trust Score: 71.3/100
- Florence 2 Large vs ChatGPT — Trust Score: 73.8/100
- Florence 2 Large vs chatgpt-on-wechat — Trust Score: 80.7/100
Key Takeaways
- Florence 2 Large has a Trust Score of 61.2/100 (C) and is not yet Nerq Verified.
- Florence 2 Large shows moderate trust signals. Conduct thorough due diligence before deploying to production environments.
- Among communication tools, Florence 2 Large 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.
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.