BGE Reranker v2 M3
Model ID: vllm/release/bge-reranker-v2-m3 BAAI Productive
EU AI Act
Section titled “EU AI Act”| Attribute | Value |
|---|---|
| Classification | GPAI (General-Purpose AI Model) |
| Risk class | Limited Risk (Article 52) |
| Transparency obligation | Yes |
| noris role | Deployer |
As a GPAI model, this model falls within the scope of EU AI Act transparency obligations. noris acts as the deployer and ensures the required information is made available pursuant to Article 53.
Technical Specifications
Section titled “Technical Specifications”| Property | Value |
|---|---|
| Model name | BGE Reranker v2 M3 |
| Provider | BAAI |
| Model ID | vllm/release/bge-reranker-v2-m3 |
| Parameters | 0.6B |
| Architecture | Cross-encoder (XLM-RoBERTa) |
| Languages | Multilingual |
| Max input length | 512 tokens |
| License | Apache 2.0 |
Recommended Use Cases
Section titled “Recommended Use Cases”- Reranking in RAG pipelines
- Relevance sorting
- Document ranking
Known Limitations
Section titled “Known Limitations”Risk Assessment (EU AI Act)
Section titled “Risk Assessment (EU AI Act)”| Risk Factor | Category | Level |
|---|---|---|
| Model type | No generative output | Low |
| Hallucinations | Not applicable | Low |
| Overall | Small model, specialized task | Low |
Original Sources
Section titled “Original Sources”- HuggingFace: https://huggingface.co/BAAI/bge-reranker-v2-m3
- License: Apache 2.0
Model card created on July 2, 2026. This model card serves EU AI Act transparency purposes (Regulation (EU) 2024/1689). The information is based on publicly available data from the model provider.