NLLB-200 Core ML 1024 β€” FLOAT32 (private snapshot)

Private Hub repo: full float32 Core ML mlpackage tree (encoder + KV decoder init/step), ~5 GB on disk. Same layout as local output/nllb200-coreml-1024.

This is a separate repository from:

  • Public or other nllb200-coreml-1024 variants on the Hub
  • nllb200-coreml-1024-pal8 (8-bit weight-only palettized, ~1.3 GB)

Use float32 when you need maximum numerical stability; use pal8 for smaller download and faster inference on tested Mac setups.

Base model (official)

Derived from facebook/nllb-200-distilled-600M β€” same license and use restrictions as the base model card (CC-BY-NC-4.0).

Item Value
Max length 1024
Packages NLLB_Encoder_1024, NLLB_Decoder_1024_init, NLLB_Decoder_1024_step + tokenizer/ + config.json

App / model ID

on-device iOS client: nllb200-coreml-1024 with NLLBCoreMLTranslationService (same file names as this repo).

License and citation

Same as [README_nllb200_coreml_1024.md](local iOS project (private)) and the NLLB paper β€” cite facebook/nllb-200-distilled-600M and NLLB-200.

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