Kazeia Team 9930bfa392 LLM: enable Qwen3-4B NPU (21 tok/s) in service pipeline ... - ExecuTorchLlmEngine: eval_mode 0 (our .pte is kv-mode, not hybrid) - KazeiaService: call llm.load() after TTS init; try/catch falls back to echo mode if the runner or .pte are missing. Pipeline on device: STT(WhisperHybridEngine) → [VoiceCommands → LLM] → TTS(Qwen3TtsEngine). Validated on OnePlus Pad 3: LLM ready in ~8 s, gen 21.3 tok/s, RSS 1.76 GB in the qnn_llama_runner subprocess (out-of-process from the Kazeia app). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>		2026-04-13 23:00:25 +02:00
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src/main	LLM: enable Qwen3-4B NPU (21 tok/s) in service pipeline	2026-04-13 23:00:25 +02:00
build.gradle.kts	TTS tremor investigation: identify cross-arch numerical floor, gate diag flags	2026-04-13 00:15:14 +02:00
proguard-rules.pro	Initial commit: Kazeia TTS pipeline on NPU via ExecuTorch	2026-04-09 08:42:11 +02:00