Is Smoldocling 256M Preview Safe?
Smoldocling 256M Preview — Nerq Trust Score 67.3/100 (B- grade). Based on analysis of 4 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-06-22.
Use Smoldocling 256M Preview with some caution. Smoldocling 256M Preview is a software tool with a Nerq Trust Score of 67.3/100 (B-), 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: 2026-06-22. Machine-readable data (JSON).
Is Smoldocling 256M Preview safe?
CAUTION — Smoldocling 256M Preview has a Nerq Trust Score of 67.3/100 (B-). 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 Smoldocling 256M Preview's trust score?
Smoldocling 256M Preview has a Nerq Trust Score of 67.3/100, earning a B- grade. This score is based on 4 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Smoldocling 256M Preview?
Smoldocling 256M Preview'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 Smoldocling 256M Preview and who maintains it?
| Author | docling-project |
| Category | Coding |
| Stars | 1,611 |
| Source | https://huggingface.co/docling-project/SmolDocling-256M-preview |
| Protocols | huggingface_api |
Regulatory Compliance
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 87/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Popular Alternatives in coding
What Is Smoldocling 256M Preview?
Smoldocling 256M Preview is a software tool in the coding category: SmolDocling-256M-preview is an AI tool for code generation.. It has 1,611 GitHub stars. Nerq Trust Score: 67/100 (B-).
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 Smoldocling 256M Preview's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Smoldocling 256M Preview performs in each:
- Maintenance (0/100): Smoldocling 256M Preview 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): Smoldocling 256M Preview 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 67.3/100 (B-) 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 Smoldocling 256M Preview?
Smoldocling 256M Preview is designed for:
- Developers and teams working with coding tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Smoldocling 256M Preview 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 Smoldocling 256M Preview'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 Smoldocling 256M Preview's dependency tree. - Review permissions — Understand what access Smoldocling 256M Preview requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Smoldocling 256M Preview 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=SmolDocling-256M-preview - Review the license — Confirm that Smoldocling 256M Preview'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 Smoldocling 256M Preview
When evaluating whether Smoldocling 256M Preview is safe, consider these category-specific risks:
Understand how Smoldocling 256M Preview processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Smoldocling 256M Preview's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Smoldocling 256M Preview. Security patches and bug fixes are only effective if you're running the latest version.
If Smoldocling 256M Preview 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 Smoldocling 256M Preview's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Smoldocling 256M Preview in violation of its license can expose your organization to legal liability.
Best Practices for Using Smoldocling 256M Preview Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Smoldocling 256M Preview while minimizing risk:
Periodically review how Smoldocling 256M Preview is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Smoldocling 256M Preview and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Smoldocling 256M Preview only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Smoldocling 256M Preview's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Smoldocling 256M Preview is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Smoldocling 256M Preview?
Even promising tools aren't right for every situation. Consider avoiding Smoldocling 256M Preview 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 Smoldocling 256M Preview's trust score of 67.3/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Smoldocling 256M Preview Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among coding tools, the average Trust Score is 62/100. Smoldocling 256M Preview's score of 67.3/100 is above the category average of 62/100.
This positions Smoldocling 256M Preview favorably among coding tools. While it outperforms the average, there is still room for improvement in certain trust dimensions.
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 Smoldocling 256M Preview 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, Smoldocling 256M Preview'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 Smoldocling 256M Preview's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=SmolDocling-256M-preview&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 Smoldocling 256M Preview are strengthening or weakening over time.
Smoldocling 256M Preview vs Alternatives
In the coding category, Smoldocling 256M Preview scores 67.3/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Smoldocling 256M Preview vs AutoGPT — Trust Score: 61.8/100
- Smoldocling 256M Preview vs ollama — Trust Score: 56.5/100
- Smoldocling 256M Preview vs langchain — Trust Score: 69.8/100
Key Takeaways
- Smoldocling 256M Preview has a Trust Score of 67.3/100 (B-) and is not yet Nerq Verified.
- Smoldocling 256M Preview shows moderate trust signals. Conduct thorough due diligence before deploying to production environments.
- Among coding tools, Smoldocling 256M Preview scores above the category average of 62/100, demonstrating above-average reliability.
- 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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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.