Is Deepseek R1 0528 Gguf Safe?
Deepseek R1 0528 Gguf — Nerq Trust Score 60.7/100 (C grade). Based on analysis of 4 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-05-09.
Use Deepseek R1 0528 Gguf with some caution. Deepseek R1 0528 Gguf is a software tool with a Nerq Trust Score of 60.7/100 (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: 2026-05-09. Machine-readable data (JSON).
Is Deepseek R1 0528 Gguf safe?
CAUTION — Deepseek R1 0528 Gguf has a Nerq Trust Score of 60.7/100 (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 Deepseek R1 0528 Gguf's trust score?
Deepseek R1 0528 Gguf has a Nerq Trust Score of 60.7/100, 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 Deepseek R1 0528 Gguf?
Deepseek R1 0528 Gguf'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 Deepseek R1 0528 Gguf and who maintains it?
| Author | unsloth |
| Category | Research |
| Stars | 194 |
| Source | https://huggingface.co/unsloth/DeepSeek-R1-0528-GGUF |
| Protocols | huggingface_api |
Regulatory Compliance
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 87/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Popular Alternatives in research
What Is Deepseek R1 0528 Gguf?
Deepseek R1 0528 Gguf is a software tool in the research category: DeepSeek-R1-0528-GGUF is an AI tool for searching and querying.. It has 194 GitHub stars. Nerq Trust Score: 61/100 (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 Deepseek R1 0528 Gguf's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Deepseek R1 0528 Gguf performs in each:
- Maintenance (0/100): Deepseek R1 0528 Gguf 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): Deepseek R1 0528 Gguf 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 60.7/100 (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 Deepseek R1 0528 Gguf?
Deepseek R1 0528 Gguf is designed for:
- Developers and teams working with research tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Deepseek R1 0528 Gguf 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 Deepseek R1 0528 Gguf'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 Deepseek R1 0528 Gguf's dependency tree. - Review permissions — Understand what access Deepseek R1 0528 Gguf requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Deepseek R1 0528 Gguf 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=DeepSeek-R1-0528-GGUF - Review the license — Confirm that Deepseek R1 0528 Gguf'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 Deepseek R1 0528 Gguf
When evaluating whether Deepseek R1 0528 Gguf is safe, consider these category-specific risks:
Understand how Deepseek R1 0528 Gguf processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Deepseek R1 0528 Gguf's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Deepseek R1 0528 Gguf. Security patches and bug fixes are only effective if you're running the latest version.
If Deepseek R1 0528 Gguf 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 Deepseek R1 0528 Gguf's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Deepseek R1 0528 Gguf in violation of its license can expose your organization to legal liability.
Deepseek R1 0528 Gguf and the EU AI Act
Deepseek R1 0528 Gguf 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 Deepseek R1 0528 Gguf Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Deepseek R1 0528 Gguf while minimizing risk:
Periodically review how Deepseek R1 0528 Gguf is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Deepseek R1 0528 Gguf and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Deepseek R1 0528 Gguf only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Deepseek R1 0528 Gguf's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Deepseek R1 0528 Gguf is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Deepseek R1 0528 Gguf?
Even promising tools aren't right for every situation. Consider avoiding Deepseek R1 0528 Gguf 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 Deepseek R1 0528 Gguf's trust score of 60.7/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Deepseek R1 0528 Gguf Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among research tools, the average Trust Score is 62/100. Deepseek R1 0528 Gguf's score of 60.7/100 is near the category average of 62/100.
This places Deepseek R1 0528 Gguf in line with the typical research 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 Deepseek R1 0528 Gguf 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, Deepseek R1 0528 Gguf'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 Deepseek R1 0528 Gguf's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=DeepSeek-R1-0528-GGUF&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 Deepseek R1 0528 Gguf are strengthening or weakening over time.
Deepseek R1 0528 Gguf vs Alternatives
In the research category, Deepseek R1 0528 Gguf scores 60.7/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Deepseek R1 0528 Gguf vs gpt_academic — Trust Score: 71.3/100
- Deepseek R1 0528 Gguf vs LlamaFactory — Trust Score: 65.5/100
- Deepseek R1 0528 Gguf vs unsloth — Trust Score: 66.7/100
Key Takeaways
- Deepseek R1 0528 Gguf has a Trust Score of 60.7/100 (C) and is not yet Nerq Verified.
- Deepseek R1 0528 Gguf shows moderate trust signals. Conduct thorough due diligence before deploying to production environments.
- Among research tools, Deepseek R1 0528 Gguf 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 Deepseek R1 0528 Gguf collect?
Privacy assessment for Deepseek R1 0528 Gguf is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Is Deepseek R1 0528 Gguf 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: Deepseek R1 0528 Gguf Security Report
How we calculated this score
Deepseek R1 0528 Gguf's trust score of 60.7/100 (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 09, 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.