LMT-60-4B for Core AI on iOS
This repository contains an iOS 27 Core AI conversion of
NiuTrans/LMT-60-4B, pinned at
revision f3d1043332179618de226eab7dd38c7290a7dfb9.
It was exported with Apple's
coreai-models toolchain at revision
917dc99f0cc23ac0905c4de26e18e5a3764703fc using the official Qwen3 4B iOS
mixed 4-bit/8-bit compression recipe. The maximum context length is reduced to
2,048 tokens for live translation, lowering KV-cache pressure while retaining
ample context for short speech transcript segments.
Artifact
- Model: Qwen3-based LMT-60-4B
- Platform: iOS 27 Core AI
- Weights: mixed 4-bit/8-bit palettization (
qwen3_4b_mixed_4bit_8bit) - Context: 2,048 tokens
- Tokenizer: embedded
- Asset format: architecture-neutral
.aimodel
The source .aimodel is specialized by Core AI for the user's device. This
keeps one downloadable artifact compatible with supported Apple Intelligence
devices instead of storing a separate multi-gigabyte specialization per device
architecture.
Languages
LMT-60-4B supports 60 source languages, including Croatian and Italian. It does not include Slovenian; applications should use a dedicated Slovenian fallback.
License
The source model is released under Apache-2.0. Apple's conversion/runtime source
is governed by the BSD-3-Clause license in the upstream coreai-models
repository.