هل Tinyllamas آمن؟
Tinyllamas — Nerq درجة الثقة 60.3/100 (الدرجة C). التقييم مبني على 4 independent trust signals.
Tinyllamas هو software tool بدرجة ثقة Nerq 60.3/100 (C), بناءً على 4 أبعاد بيانات مستقلة. الصيانة: 0/100. الشعبية: 1/100. البيانات مصدرها قراءة آلية.
هل Tinyllamas آمن؟
تفاصيل درجة الثقة — Tinyllamas لديه درجة ثقة Nerq تبلغ 60.3/100 (C). Measured across 4 independent trust signals.
ما هي درجة ثقة Tinyllamas؟
حصل Tinyllamas على درجة ثقة Nerq تبلغ 60.3/100 بدرجة C. يعتمد هذا التقييم على 4 أبعاد مُقاسة بشكل مستقل.
ما هي النتائج الأمنية الرئيسية لـ Tinyllamas؟
أقوى إشارة لـ Tinyllamas هي الامتثال بدرجة 100/100. لم يتم اكتشاف أي ثغرات أمنية معروفة.
ما هو Tinyllamas ومن يديره؟
| المؤلف | karpathy |
| الفئة | Automation |
| النجوم | 180 |
| المصدر | https://huggingface.co/karpathy/tinyllamas |
| Protocols | huggingface_hub |
الامتثال التنظيمي
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 100/100 |
| الاختصاص القضائيs | Assessed across 52 ولاية قضائيةs |
بدائل شائعة في automation
What Is Tinyllamas?
Tinyllamas is a automation platform: Tinyllamas is an LLM-based automation tool.. It has 180 GitHub stars. Nerq درجة الثقة: 60/100 (C).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including security vulnerabilities, maintenance activity, license compliance, and اعتماد المجتمع.
How Nerq Assesses Tinyllamas's Safety
Nerq's درجة الثقة is calculated from 13+ independent signals aggregated into five أبعاد. Here is how Tinyllamas performs in each:
- الصيانة (0/100): Tinyllamas 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 (100/100): Tinyllamas is broadly compliant. Assessed against regulations in 52 ولاية قضائيةs including the EU AI Act, CCPA, and GDPR.
- المجتمع (1/100): المجتمع adoption is limited. بناءً على GitHub stars, forks, download counts, and ecosystem integrations.
The overall درجة الثقة of 60.3/100 (C) is the weighted combination of these measured signals. It is a measurement, not a pass/fail or suitability judgment — weigh the individual signals against your own requirements.
Who Typically Evaluates Tinyllamas?
Tinyllamas is commonly evaluated by:
- Teams automating repetitive workflows
- Organizations connecting multiple tools and services
- المطورs building event-driven AI pipelines
كيفية read the signals: Tinyllamas's measured signals (maintenance 0/100, documentation 0/100, community 1/100) are shown above. These are measurements, not a suitability judgment — weigh each signal against the requirements of your own use case and risk tolerance.
كيفية Verify Tinyllamas'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 ثغرات أمنية معروفة in Tinyllamas's dependency tree. - مراجعة permissions — Understand what access Tinyllamas requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Tinyllamas 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=tinyllamas - مراجعة the license — Confirm that Tinyllamas'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 عملاء 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 Tinyllamas
When evaluating whether Tinyllamas is safe, consider these category-specific risks:
Understand how Tinyllamas processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Tinyllamas's dependency tree for ثغرات أمنية معروفة. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Tinyllamas. الأمان patches and bug fixes are only effective if you're running the latest version.
If Tinyllamas 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 Tinyllamas's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Tinyllamas in violation of its license can expose your organization to legal liability.
Best Practices for Using Tinyllamas Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Tinyllamas while minimizing risk:
Periodically review how Tinyllamas is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Tinyllamas and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Tinyllamas only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Tinyllamas's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Tinyllamas is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant مستقل Review of Tinyllamas
Nerq's signals are one input. In the following situations, evaluate Tinyllamas's measured signals against your own requirements before making a decision:
- Environments handling sensitive or regulated data (healthcare, finance, government)
- Mission-critical systems where downtime has significant business impact
- Deployments with strict regulatory requirements that must be independently validated
For each situation, compare Tinyllamas's measured trust score of 60.3/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Tinyllamas is suitable for any particular use.
How Tinyllamas Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among automation tools, the average درجة الثقة is 64/100. Tinyllamas's score of 60.3/100 is near the category average of 64/100.
This places Tinyllamas in line with the typical automation 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 متوسط 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.
درجة الثقة History
Nerq continuously monitors Tinyllamas and recalculates its درجة الثقة 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, Tinyllamas'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 Tinyllamas's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=tinyllamas&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 Tinyllamas are strengthening or weakening over time.
Tinyllamas vs البدائل
In the automation category, Tinyllamas scores 60.3/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Tinyllamas vs Windows Desktop Control — درجة الثقة: 48.2/100
- Tinyllamas vs gemma-7b — درجة الثقة: 62.2/100
- Tinyllamas vs Tianji — درجة الثقة: 47.7/100
النقاط الرئيسية
- Tinyllamas has a measured Nerq درجة الثقة of 60.3/100 (C) — a composite of independent signals, not a suitability judgment.
- Among automation tools, Tinyllamas scores near the category average of 64/100 (a positional measurement relative to peers).
- The individual signals — security, maintenance, documentation, compliance, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
الأسئلة الشائعة
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إخلاء المسؤولية: درجات ثقة Nerq هي تقييمات آلية مبنية على إشارات متاحة للعموم. وهي ليست توصيات أو ضمانات. قم دائمًا بإجراء العناية الواجبة الخاصة بك.