Embeddings and rerankers · Microsoft (intfloat)
multilingual-e5-large-instruct
Dependable 560M multilingual embedder.
Datasheet
Maker | Microsoft (intfloat) |
|---|---|
Parameters | 560 MVerifiedsafetensors.total from the HF API Source |
Licence | MITVerified |
Access | Public download |
Task (HF pipeline) | feature-extraction |
First published on HF | 2024-02-08 |
Last updated on HF | 2025-07-10 |
Weights in memory | 1.1 GB at 16-bit · 0.3 GB at ~4.85 bitsEstimateParameters × bits ÷ 8. Excludes context cache and runtime overhead; not every model has a 4-bit build. |
Benchmark
63.22
MMTEB (multilingual) mean task score; rerankers: MTEB-R · #3 of 4 scored in this category
Row in the Qwen3-Embedding card table (taken from the MTEB leaderboard, 2025-05-24). Source
The description summarises the model card at https://huggingface.co/intfloat/multilingual-e5-large-instruct. Parameters and licence are read from the Hugging Face API; the weights-in-memory line is our arithmetic, not a measurement.