whisper_ggml_plus 1.1.3 copy "whisper_ggml_plus: ^1.1.3" to clipboard
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Published 7 hours ago • Latest: 1.2.0
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Whisper.cpp Flutter plugin with Large-v3-Turbo (128-mel) support.

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1.1.3 #

  • Completed missing sub-directory hierarchy for ggml-cpu and coreml.
  • Fixed unary-ops.h and other implicit header dependency errors.
  • Optimized include paths in Podspec and CMake for better v1.8.3 compatibility.

1.1.2 #

  • Restored ggml-cpu directory hierarchy to match official v1.8.3 structure.
  • Fixed missing header dependencies: ggml-threading.h, quants.h.
  • Updated build configurations (Podspec, CMake) for subdirectory support.

1.1.1 #

  • Fixed missing header dependencies for whisper.cpp v1.8.3 (traits.h, whisper-compat.h, gguf.h).
  • Improved Android directory structure for better compatibility.

1.1.0 #

  • Major upgrade: Synchronized engine with official whisper.cpp v1.8.3.
  • Implemented new dynamic backend architecture (ggml-backend).
  • Added full support for Large-v3-Turbo with improved stability.
  • Refactored native bridge for better performance and API compatibility.
  • Standardized directory structure across all platforms.

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 found error 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_plus and 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.

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Whisper.cpp Flutter plugin with Large-v3-Turbo (128-mel) support.

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Topics

#ggml #artificial-intelligence #machine-learning

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License

MIT (license)

Dependencies

ffi, ffmpeg_kit_flutter_new_min, flutter, flutter_riverpod, freezed_annotation, json_annotation, path_provider, plugin_platform_interface, universal_io

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