OpenScholar Reranker EU AI Act Compliance Profile
OpenSciLM
Your risk depends on how you use OpenScholar Reranker
| Usage Context | Risk Level | Obligations |
|---|---|---|
| Internal coding tool | MINIMAL | 3 obligations (~12h) |
| Customer support bot | LIMITED | 7 obligations (~32h) |
| HR screening / hiring | HIGH | 19 obligations (~120h) |
| Credit decisions | HIGH | 19 obligations (~120h) |
| Medical triage | HIGH | 19 obligations (~120h) |
Why this tool is classified as MINIMAL
OpenScholar Reranker is an AI model by OpenSciLM. Fine-tuned from BAAI/bge-reranker-large. Supports en. Licensed under mit. 5.9K downloads on HuggingFace.
Applicable Articles
Who does what
OpenSciLM (provider)Their job
- Provider obligations being compiled
Risk Assessment Reasoning
This model is classified as Minimal Risk under the EU AI Act. No mandatory compliance obligations apply, but voluntary codes of practice are encouraged. AI literacy training (Art. 4) is recommended for all deployers.
Similar Models
Frequently Asked Questions
What is OpenScholar Reranker's EU AI Act risk classification?
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OpenScholar Reranker is classified as MINIMAL under the EU AI Act.
What are my obligations if I deploy OpenScholar Reranker?
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As a OpenScholar Reranker deployer, you have 1 base obligations (~8 hours estimated effort). Key articles: Art. 4.
What is OpenScholar Reranker?
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OpenScholar Reranker is a Unknown model by OpenSciLM. It has 5.9K downloads on HuggingFace. Licensed under mit.
What are the EU AI Act deadlines for OpenScholar Reranker?
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Already passed: AI Literacy (Art. 4) — 2025-02-02.
Check OpenScholar Reranker compliance in your codebase
One command to scan. Open-source CLI.