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BAAI/bge-large-en-v1.5

BAAI/bge-large-en-v1.5 is a BAAI 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 335,142,400. Architectural context length (max_position_embeddings) is 512. The listed licence is mit. The Hub repository was created on 12 Sept 2023, which is the release date this register uses.

Primary source: the Hugging Face model card for BAAI/bge-large-en-v1.5. 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.

OrganisationBAAI
ReleasedRepo creation date on Hugging Face12 Sept 2023
Last modified21 Feb 2024
ParametersExact, from the safetensors index335M 335,142,400
Context lengthmax_position_embeddings — architectural maximum, not necessarily served512 512
Licencemit
Pipeline / taskpipeline_tag on the Hugging Face model APIfeature-extraction
File formatssafetensors, ONNX
Librarylibrary_name on the Hugging Face model APIsentence-transformers
Architecturebert
Layers24
Vocabulary30,522
DownloadsAt last check10m
Likes775
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/BAAI/bge-large-en-v1.5. 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 bge-large-en-v1.5 released?
The Hugging Face repository was created on 12 Sept 2023, which is the date this register uses.
How many parameters does bge-large-en-v1.5 have?
The safetensors index gives 335,142,400 parameters, shown here as 335M. That figure is exact, not rounded.
What is the context length of bge-large-en-v1.5?
512 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 bge-large-en-v1.5 under?
The Hub card lists mit.
Is bge-large-en-v1.5 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/BAAI/bge-large-en-v1.5.