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Model register·intfloat

intfloat/multilingual-e5-large

intfloat/multilingual-e5-large is a intfloat record on this register. The Hugging Face model API lists the pipeline tag as feature-extraction. The safetensors index gives an exact parameter count of 559,890,946. Architectural context length (max_position_embeddings) is 514. The listed licence is mit. The Hub repository was created on 30 Jun 2023, which is the release date this register uses.

Primary source: the Hugging Face model card for intfloat/multilingual-e5-large. Fields below come from that card, the Hub model API, and the repository’s own config.json when those files exist. A field we cannot source is omitted rather than guessed.

Organisationintfloat
ReleasedRepo creation date on Hugging Face30 Jun 2023
Last modified2 Apr 2026
ParametersExact, from the safetensors index560M 559,890,946
Context lengthmax_position_embeddings — architectural maximum, not necessarily served514 514
Licencemit
Pipeline / taskpipeline_tag on the Hugging Face model APIfeature-extraction
File formatssafetensors, ONNX
Librarylibrary_name on the Hugging Face model APIsentence-transformers
Architecturexlm-roberta
Layers24
Vocabulary250,002
DownloadsAt last check6.7m
Likes1.3k
GatedNo

How to run

Safetensors weights are on the Hugging Face repository. The parameter count on this page came from that index.

The Hugging Face model API lists the library as sentence-transformers.

Load it from huggingface.co/intfloat/multilingual-e5-large. This page does not add install steps that the Hub files do not state.

Agent capabilities

This model publishes no chat template, so there is nothing to inspect. That is not evidence of missing support — many base models and some releases simply ship without one.

Questions this record can answer

When was multilingual-e5-large released?
The Hugging Face repository was created on 30 Jun 2023, which is the date this register uses.
How many parameters does multilingual-e5-large have?
The safetensors index gives 559,890,946 parameters, shown here as 560M. That figure is exact, not rounded.
What is the context length of multilingual-e5-large?
514 tokens. That is max_position_embeddings from the model's own config.json — the architectural maximum, not necessarily the context a provider serves.
What licence is multilingual-e5-large under?
The Hub card lists mit.
Is multilingual-e5-large gated?
No. The Hugging Face model API does not mark this repository as gated.

Where each field came from

  • Hugging Face model API — releasedAt, lastModified, downloads, likes, task, license, gated, parameters, libraryName, formats. Checked 18 Oct 2026.
  • config.json — contextLength, layers, vocabSize, architecture. Checked 18 Oct 2026.

First recorded 24 Sept 2026, last checked 18 Oct 2026. This record is compiled automatically from the sources above. Where a field is blank, we could not source it and have not guessed. Canonical repository: huggingface.co/intfloat/multilingual-e5-large.