README.md

metadata

language:
  - multilingual
language_details: NLLB-200 supports 200 languages (see facebook/nllb-200-distilled-600M)
license: cc-by-nc-4.0
tags:
  - translation
  - coreml
  - nllb
  - apple
  - ios
  - mlpackage
  - float32
pipeline_tag: translation
datasets:
  - flores-200
base_model: facebook/nllb-200-distilled-600M

NLLB-200 Core ML 1024 — 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 — 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 — cite facebook/nllb-200-distilled-600M and NLLB-200.