(a real-time speech-recognition fine-tune of Qwen3-ASR-1.7B, 30 languages) converted to Core ML programs that run on the Apple Neural Engine: the audio encoder in fp16, the Qwen3 decoder and the LM head palettised to 8 bits. 4.09 GB of bfloat16 becomes 2.8 GB on disk; while loaded, the Neural Engine holds the weights dequantised to fp16, about 4.5 GB, outside the process. Converted with the pipeline in the VoiceInk fork's tools/r2t2-coreml: the encoder through coremltools 9 with a fixed 800-frame window (the fused gelu replaced by a tanh formulation, whose constant absolute error otherwise swamps this encoder's small activations), the decoder through ANEMLL as two stateful chunks whose KV…