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All on-device models

Named entity recognition models for iPhone and Mac (Core ML & MLX)

22 models for this task are tagged Core ML or MLX on Hugging Face, or come from Apple: 19 Core ML, 3 MLX and 0 other Apple models. The table lists the most downloaded in the last 30 days.

Last updated 2026-11-02 (UTC).

Showing 22 of 22.

ModelSizeDownloads (30 days)
perplexity-ai/PII-Tracer-MLXMLXfrom perplexity-ai/PII-Tracer791 MB10.6K
divergentlabs/masker-miniCore MLfrom divergentlabs/masker—1,585
OpenMed/privacy-filter-mlx-8bitMLXfrom openai/privacy-filter—984
OpenMed/privacy-filter-nemotron-mlx-8bitMLXfrom OpenMed/privacy-filter-nemotron—701
ctrimm/phi-redactCore ML—273
FluidInference/gliner2-5-base-coremlCore MLfrom fastino/gliner2.5-base-v1—262
cjhwong/seatbelt-pii-taggerCore MLfrom microsoft/Multilingual-MiniLM-L12-H384—166
NagaYu/sludge-smallCore ML—97
umiyosh/modernbert-ja-130m-typo-detectorCore MLfrom sbintuitions/modernbert-ja-130m—94
Mythologic/markCore ML—93
FluidInference/gliner2-5-multi-coremlCore MLfrom fastino/gliner2.5-multi-v1—85
crp4222/privaite-pii-minilmCore MLfrom microsoft/Multilingual-MiniLM-L12-H384—72
faxenoff/code-daemon-ner-v1Core MLfrom nreimers/mMiniLMv2-L12-H384-distilled-from-XLMR-Large—68
Mindscend/mindtype-tagger-v1.5Core ML—47
Mindscend/mindtype-tagger-v2.0Core ML—40
smkrv/rubert-base-collection3-ner-coremlCore MLfrom ai-forever/ruBert-base—39
Mindscend/mindtype-tagger-v1.1Core ML—35
Mindscend/mindtype-tagger-v1.6Core ML—32
gregbarbosa/fullstop-coremlCore MLfrom oliverguhr/fullstop-punctuation-multilingual-base—27
Mindscend/mindtype-tagger-tiny-v1.6Core ML—26
Mindscend/mindtype-tagger-v1.2Core ML—24
FakeRockert543/ckip-coremlCore MLfrom ckiplab/bert-base-chinese-ner—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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