> For the complete documentation index, see [llms.txt](https://docs.ionos.com/cloud/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.ionos.com/cloud/ai/ai-model-hub/models/embedding-models/paraphrase-multilingual-mpnet-v2.md).

# Paraphrase Multilingual MPNet v2

{% hint style="warning" %}
**Deprecated:** Paraphrase Multilingual MPNet v2 is deprecated and will be removed on **November 30, 2026**. We recommend migrating to [<mark style="color:blue;">**BGE M3**</mark>](/cloud/ai/ai-model-hub/models/embedding-models/bge-m3.md), its designated successor. Embeddings from the two models are not interchangeable: Paraphrase Multilingual MPNet v2 produces 768-dimensional vectors and BGE M3 produces 1024-dimensional vectors, so you must re-embed your existing content with BGE M3 and adjust the dimension of your vector index before you switch.

After the model is removed, requests using this model ID will return an `HTTP 404 Not Found` response with the `MODEL_NOT_SUPPORTED` error code.
{% endhint %}

**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.

|                                                                                                               **Intelligence**                                                                                                              |                                                                                                                                                                                                                                                                                                                                         **Speed**                                                                                                                                                                                                                                                                                                                                         |                                                                                                                                                                                                                                                                                                                                          **Input**                                                                                                                                                                                                                                                                                                                                          |                                                                                                                                                                                                                                                                                                                                          **Output**                                                                                                                                                                                                                                                                                                                                         |
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| ![Intelligence active](https://1737632334-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MifAzdGvKLDTtvJP8sm%2Fuploads%2Fgit-blob-b23196ddc0cba1be0b981aa5572379cec1538be3%2Fai-model-hub-intelligence.png?alt=media) | ![Speed active](https://1737632334-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MifAzdGvKLDTtvJP8sm%2Fuploads%2Fgit-blob-be3201cb2eba83650220699adf5b3d9120c83377%2Fai-model-hub-speed.png?alt=media) ![Speed active](https://1737632334-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MifAzdGvKLDTtvJP8sm%2Fuploads%2Fgit-blob-be3201cb2eba83650220699adf5b3d9120c83377%2Fai-model-hub-speed.png?alt=media) ![Speed active](https://1737632334-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MifAzdGvKLDTtvJP8sm%2Fuploads%2Fgit-blob-be3201cb2eba83650220699adf5b3d9120c83377%2Fai-model-hub-speed.png?alt=media) | ![Text active](https://1737632334-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MifAzdGvKLDTtvJP8sm%2Fuploads%2Fgit-blob-cc6707e286bceb4641047e45e095950e8db880fd%2Fai-model-hub-text.png?alt=media) ![Image inactive](https://1737632334-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MifAzdGvKLDTtvJP8sm%2Fuploads%2Fgit-blob-bac2752d06f18e86dc7f0b9531ab32ec58f30aec%2Fai-model-hub-image.png?alt=media) ![Audio inactive](https://1737632334-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MifAzdGvKLDTtvJP8sm%2Fuploads%2Fgit-blob-8b0332538fcac6644893a504f9fbbd1ba2b56d21%2Fai-model-hub-audio.png?alt=media) | ![Text active](https://1737632334-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MifAzdGvKLDTtvJP8sm%2Fuploads%2Fgit-blob-cc6707e286bceb4641047e45e095950e8db880fd%2Fai-model-hub-text.png?alt=media) ![Image inactive](https://1737632334-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MifAzdGvKLDTtvJP8sm%2Fuploads%2Fgit-blob-bac2752d06f18e86dc7f0b9531ab32ec58f30aec%2Fai-model-hub-image.png?alt=media) ![Audio inactive](https://1737632334-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MifAzdGvKLDTtvJP8sm%2Fuploads%2Fgit-blob-8b0332538fcac6644893a504f9fbbd1ba2b56d21%2Fai-model-hub-audio.png?alt=media) |
|                                                                                                                    *Low*                                                                                                                    |                                                                                                                                                                                                                                                                                                                                           *High*                                                                                                                                                                                                                                                                                                                                          |                                                                                                                                                                                                                                                                                                                                            *Text*                                                                                                                                                                                                                                                                                                                                           |                                                                                                                                                                                                                                                                                                                                       *Number Vector*                                                                                                                                                                                                                                                                                                                                       |

## 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 CLOUD AI Model Hub Lifecycle and Alternatives

| **IONOS CLOUD start date** |   **End of Life**   |                                             **Alternative**                                             |                                              **Successor**                                              |
| :------------------------: | :-----------------: | :-----------------------------------------------------------------------------------------------------: | :-----------------------------------------------------------------------------------------------------: |
|      *August 1, 2024*      | *November 30, 2026* | [<mark style="color:blue;">**BGE M3**</mark>](/cloud/ai/ai-model-hub/models/embedding-models/bge-m3.md) | [<mark style="color:blue;">**BGE M3**</mark>](/cloud/ai/ai-model-hub/models/embedding-models/bge-m3.md) |

## 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. The [<mark style="color:blue;">default rate limits</mark>](/cloud/ai/ai-model-hub/how-tos/rate-limits.md) apply to this model, separately from other models.


---

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