Workload-Driven Optimization for On-Device Real-Time Subtitle Translation
This report studies on-device English-to-Traditional-Chinese subtitle translation for Taiwan under short inputs, short outputs, batch-size-one inference, low latency, and privacy constraints. These conditions limit the value of optimizations designed for long-context or high-throughput language-model serving. Starting from LMT-60-0.6B, preliminary profiling suggests that vocabulary projection becomes a more important decode-time cost after GGUF quantization reduces the relative cost of Transformer blocks. We replace the original 151k-token vocabulary with a 64k-token subtitle-domain tokenizer, migrate the embedding space, and adapt the model through embedding calibration followed by full ...
| Authors | Tsz-To Wong |
|---|---|
| Primary category | cs.CL |
| Published | 10 July 2026 |
| Last updated at source | 16 July 2026 |
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