whisper_ggml_plus 1.0.6
whisper_ggml_plus: ^1.0.6 copied to clipboard
Whisper.cpp Flutter plugin with Large-v3-Turbo (128-mel) support.
1.0.6 #
- Fixed critical integer overflow during Large-v3-Turbo tensor loading.
- Corrected memory size calculation for 1.6GB+ models to prevent pointer corruption.
1.0.5 #
- Fixed critical
EXC_BAD_ACCESS(Segment Fault) error during model loading. - Improved memory safety by using heap allocation for model file streams.
- Fixed dangling pointer issue in
whisper_init_from_file_no_state.
1.0.4 #
- Fixed
Exception: map::at: key not founderror when using K-quantized models (Q2_K, Q3_K, Q4_K, Q5_K, Q6_K). - Added missing quantization types to memory requirement maps.
1.0.3 #
- Refactored native bridge for better thread safety and persistent context management.
- Optimized model switching logic to prevent memory leaks and race conditions.
- Standardized version reporting across all platforms.
1.0.2 #
- Enabled CoreML and Metal hardware acceleration for iOS and MacOS.
- Added dynamic CoreML bridge (whisper-encoder.mm) without Xcode auto-generation dependencies.
- Fully optimized Large-v3-Turbo (128-mel) models using Apple Neural Engine.
- Improved stability and performance for heavy models on mobile devices.
1.0.1 #
- Added support for Large-v3-Turbo models (128 mel bands).
- Fixed silent hangs by adding robust NULL checks during model initialization.
- Improved error messaging for memory allocation failures (OOM).
- Renamed package to
whisper_ggml_plusand updated all internal imports.
1.0.0 #
- Initial fork of
whisper_ggml. - Added support for Large-v3-Turbo models (128 mel bands).
- Renamed package to
whisper_ggml_plus.