# Paraphrase Multilingual MPNet v2

**Summary:** Paraphrase Multilingual MPNet v2 is a compact and efficient multilingual sentence transformer that creates 768-dimensional vector representations optimized for cross-lingual semantic similarity and paraphrase detection. This model excels in multilingual content comparison, duplicate detection, semantic search across languages, and cross-lingual information retrieval. It is ideal for applications requiring fast and efficient multilingual text understanding with minimal computational overhead.

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## Central parameters

**Description:** Sentence transformer model producing 768-dimensional vectors with support for shorter input lengths across multiple languages.

**Model identifier:** `sentence-transformers/paraphrase-multilingual-mpnet-base-v2`

## IONOS AI Model Hub Lifecycle and Alternatives

|  **IONOS Launch** | **End of Life** |                                                              **Alternative**                                                              | **Successor** |
| :---------------: | :-------------: | :---------------------------------------------------------------------------------------------------------------------------------------: | :-----------: |
| *January 1, 2025* |       N/A       | [<mark style="color:blue;">**BGE M3**</mark>](https://docs.ionos.com/sections-test/guides/ai/ai-model-hub/models/embedding-models/bge-m3) |               |

## Origin

|                                     **Provider**                                    | **Country** |                                   **License**                                   | **Flavor** |   **Release**   |
| :---------------------------------------------------------------------------------: | :---------: | :-----------------------------------------------------------------------------: | :--------: | :-------------: |
| [<mark style="color:blue;">**SentenceTransformers**</mark>](https://www.sbert.net/) |  Community  | [<mark style="color:blue;">**License**</mark>](http://arxiv.org/abs/1908.10084) |    Base    | *July 23, 2021* |

## Technology

| **Input Length** | **Parameters** | **Tensor Type** | **Multilingual** |                                                           **Further details**                                                           |
| :--------------: | :------------: | :-------------: | :--------------: | :-------------------------------------------------------------------------------------------------------------------------------------: |
|       *128*      |     *278M*     |     *float*     |       *Yes*      | [<mark style="color:blue;">**Hugging Face**</mark>](https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2) |

## Modalities

|     **Text**     |   **Image**   |   **Audio**   |
| :--------------: | :-----------: | :-----------: |
| Input and output | Not supported | Not supported |

## Endpoints

| **Chat Completions** | **Embeddings** | **Image generation** |
| :------------------: | :------------: | :------------------: |
|     Not supported    |  v1/embeddings |     Not supported    |

## Features

| **Streaming** | **Reasoning** | **Tool calling** |
| :-----------: | :-----------: | :--------------: |
| Not supported | Not supported |   Not supported  |

## Rate limits

Rate limits ensure fair usage and reliable access to the AI Model Hub. In addition to the [<mark style="color:blue;">contract-wide rate limits</mark>](https://docs.ionos.com/sections-test/guides/ai/ai-model-hub/how-tos/rate-limits), no model-specific limits apply.