PoliteAI/nllb200-coreml-256-ane-pal8

NLLB-200 distilled 600M — Core ML KV (seq 256, palettized / pal8)

Core ML packages for encoder and KV-cache decoder (init + step) exported from facebook/nllb-200-distilled-600M, sequence length 256, 8-bit palettization (pal8) for Apple Neural Engine–friendly deployment.

Contents

• NLLB_Encoder_256.mlpackage
• NLLB_Decoder_256_init.mlpackage
• NLLB_Decoder_256_step.mlpackage
• config.json, bundled tokenizer/ (reference)

Base model

• facebook/nllb-200-distilled-600M
• Original NLLB-200 licensing applies (CC-BY-NC). This repo only redistributes a derived Core ML export for on-device use.

Usage notes

• Intended for macOS / iOS inference via MLModel (or Python coremltools for tests).
• Source language is selected via tokenizer / src_lang; target via forced BOS (e.g. eng_Latn) in your app pipeline.
• Quality and parity should be validated on your target devices (ANE vs CPU/GPU paths may differ).

Organization

Published by PoliteAI.