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All on-device models

Sentence similarity models for iPhone and Mac (Core ML & MLX)

24 models for this task are tagged Core ML or MLX on Hugging Face, or come from Apple: 18 Core ML, 6 MLX and 0 other Apple models. The table lists the most downloaded in the last 30 days.

Last updated 2026-11-02 (UTC).

Showing 24 of 24.

ModelSizeDownloads (30 days)
thenlper/gte-smallCore ML803 MB1.4M
mlx-community/all-MiniLM-L6-v2-4bitMLX13.9 MB8,497
mlx-community/nomicai-modernbert-embed-base-bf16MLXfrom answerdotai/ModernBERT-base—2,234
gety-ai/gety-embed-v0Core MLfrom intfloat/multilingual-e5-small—2,048
mlx-community/embeddinggemma-300m-4bitMLX—2,006
mlx-community/embeddinggemma-300m-8bitMLX—652
mlx-community/embeddinggemma-300m-bf16MLX—574
mlx-community/multilingual-e5-small-mlxMLX—574
shirochenkov90/embeddinggemma-2-coremlCore MLfrom google/embeddinggemma-2—321
tamikisg/multilingual-e5-small-coremlCore MLfrom intfloat/multilingual-e5-small—171
BidirLM/BidirLM-Omni-2.5B-Embedding-CoreMLCore MLfrom BidirLM/BidirLM-Omni-2.5B-Embedding—170
Ruthvikkk/MNLP_M3_document_encoderCore ML—120
Ruthvikkk/MNLP_M2_document_encoderCore ML—110
novelcore/model15Core ML—102
shirochenkov90/embeddinggemma-300m-coremlCore MLfrom google/embeddinggemma-300m—97
nikhilgawai007/gte-smallCore ML—74
PiterQ/mmlw-retrieval-roberta-large-v2-CoreMLCore MLfrom sdadas/mmlw-retrieval-roberta-large-v2—34
vllm-project/gte-smallCore ML—34
masahiroid/ruri-v3-130m-coremlCore MLfrom cl-nagoya/ruri-v3-130m—32
masahiroid/ruri-v3-310m-coremlCore MLfrom cl-nagoya/ruri-v3-310m—26
VAGOsolutions/SauerkrautLM-MoEdernColBERT-1.5M-CoreMLCore MLfrom VAGOsolutions/SauerkrautLM-MoEdernColBERT-1.5M—23
VAGOsolutions/SauerkrautLM-MoEdernColBERT-115M-CoreMLCore MLfrom VAGOsolutions/SauerkrautLM-MoEdernColBERT-115M—20
VAGOsolutions/SauerkrautLM-MoEdernColBERT-27M-CoreMLCore MLfrom VAGOsolutions/SauerkrautLM-MoEdernColBERT-27M—19
tuanda2912/hark-multilingual-e5-small-coremlCore MLfrom intfloat/multilingual-e5-small—19

Reading the table

  • Downloads are Hugging Face's count for the last 30 days, not all time. Hugging Face counts requests for a model's main file, so one install can count more than once.
  • Size is the total of the repo's current files on Hugging Face, in the sizes it shows (1 GB = 1,000 MB). Some repos hold several variants of a model, so it can be larger than the one download you need; a dash means it has not been measured yet.
  • Trending is Hugging Face's own score for recent attention. "from" under a name is the model it was made from.
  • Parameters is the parameter count in the model files. A count marked * comes from the model's name (such as 27B) instead: the files gave none, or a much smaller one, as packed low-bit files can.
  • Quantization is read from the model's tags and name, not checked against the files.

Before you use one

The list comes from Hugging Face's public API and is updated daily. We don't test each model. Check the license and read the model card before you ship one in an app: some licenses limit commercial use, and "other" means the terms are on the model card. Models whose names or tags point at adult or safety-removed content are left out, and so are gated models that need a Hugging Face sign-in to download.

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