Add pointer to whisper-acft-ko (Korean ACFT short-window models)

README.md

@@ -73,6 +73,16 @@ reference transcripts (punctuation-normalized). Full matrix:
 | `qwen2.5-0.5b-instruct/Qwen2.5-0.5B-Instruct_wi4b64_ekv1280.litertlm` | 265 MB | litert-community/Qwen2.5-0.5B-Instruct f32 | wi4b64 full scope | inference-validated Windows + Android (35.5 tok/s device CPU, +38 % vs official q8) |
 | `qwen2.5-1.5b-instruct/Qwen2.5-1.5B-Instruct_wi4b64_ekv4096.litertlm` | 790 MB | litert-community/Qwen2.5-1.5B-Instruct f32 | wi4b64 full scope | inference-validated Windows CPU (59.7 prefill / 11.8 decode tok/s, Korean QA correct) |
 
+## Related: Korean ACFT short-window Whisper models
+
+Korean audio-context fine-tuned (ACFT-KO) Whisper models — fixed 5 s/10 s/30 s
+short-window TFLite graphs for on-device Korean voice commands (tiny / base /
+medium / large-v3-turbo, dynamic-range int8) — live in a dedicated repo:
+**[leuconoe/whisper-acft-ko](https://huggingface.co/leuconoe/whisper-acft-ko)**.
+Method: [futo-org/whisper-acft](https://github.com/futo-org/whisper-acft);
+training data zeroth-korean (OpenSLR SLR40, CC-BY-4.0) + google/fleurs en_us
+(CC-BY-4.0).
+
 ## Known caveats (disclose in model cards)
 
 - Whisper 30 s graphs; decoder is fixed-length re-run (no KV cache) matching the