runanywhere_llamacpp 0.20.24
runanywhere_llamacpp: ^0.20.24 copied to clipboard
LlamaCpp backend for RunAnywhere Flutter SDK. High-performance on-device LLM text generation with GGUF model support.
Changelog #
All notable changes to the RunAnywhere LlamaCpp Backend will be documented in this file.
The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.
0.20.24 - 2026-08-16 #
Changed #
- Reissued the maintained llama.cpp, Maple Preview, and Bonsai/Prism-compatible runtime train from the corrected release manifest.
0.20.23 - 2026-08-16 #
Changed #
- Upgraded to the maintained RunAnywhere llama.cpp compatibility tag.
- Added Maple Preview support while preserving Bonsai/Prism compatibility and expanded the current GGUF model catalog.
0.20.22 - 2026-08-15 #
Changed #
- Version bump only. This release exists so the Electron packages can be
republished with their Windows native staging fixed:
0.20.21shipped the ONNX and Sherpa backends without the vendor runtimes they link, so those two engines could not load on Windows x64. The Dart/Flutter surface is unchanged from 0.20.19 and no 0.20.22 native artifacts are produced for it.
0.20.21 - 2026-08-14 #
Changed #
- Version bump only. This release exists so the Electron packages can be republished carrying Windows x64 and Windows ARM64 natives; the Dart/Flutter surface is unchanged from 0.20.19 and no 0.20.21 native artifacts are published.
0.20.20 - 2026-08-14 #
Changed #
- Version bump only. This release exists so the Electron packages can be republished with the staging telemetry URL baked in; the Dart/Flutter surface is unchanged from 0.20.19 and no 0.20.20 native artifacts are published.
0.20.19 - 2026-08-14 #
- Suite version bump. No change to this package's Dart, podspec, or Gradle surface; it continues to fetch the same checksum-pinned native archives.
0.20.18 - 2026-08-12 #
- Commons: backend registration failures are isolated. An engine that cannot register is recorded as unavailable instead of aborting SDK initialization, so the remaining backends keep serving.
- Suite version bump. This release also rebuilds the Electron backend plugin natives; that part does not affect this package.
0.20.17 - 2026-08-11 #
- Electron QHexRT backend and its commons platform-capability changes.
- Swift package is now consumable by version (
from:) rather than only by git revision.
0.20.15 - 2026-08-11 #
- Suite version bump.
0.20.14 - 2026-08-09 #
- Suite version bump.
0.20.13 - 2026-08-08 #
- Suite version bump.
0.20.12 - 2026-07-28 #
- Suite version bump; Kotlin/QHexRT Maven release.
0.20.11 - 2026-07-16 #
- Version-aligned release with benchmark aggregation, variance reporting, and updated model catalogs.
0.20.10 - 2026-07-13 #
- CoreML diffusion enablement + macOS backend slice fixes (see SDK release notes).
0.20.9 - 2026-07-13 #
Changed #
- Version-aligned 0.20.9 release across all RunAnywhere SDKs; dev-analytics config baked into the native core at build time.
0.20.0 - 2026-07-12 #
Changed #
- Aligned the backend package and native artifact contract with RunAnywhere 0.20.0.
0.19.15 - 2026-07-11 #
Changed #
- Aligned public package metadata and native artifact staging with RunAnywhere 0.19.15.
0.19.13 - 2026-05-13 #
Changed #
- Kept the Flutter plugin as a thin backend registration adapter by removing unused template MethodChannel methods.
- Aligned the iOS deployment target and platform claims with the Swift iOS 17.0 baseline.
- Removed the backend plugin
uses-material-designflag.
0.16.0 - 2026-02-14 #
Changed #
- Updated runanywhere dependency to ^0.16.0
- Rebuilt native LlamaCPP backend binaries with latest llama.cpp (b7650)
- Includes parameter piping fix (#340) and network layer improvements from core SDK
0.15.9 - 2025-01-11 #
Changed #
- Updated runanywhere dependency to ^0.15.9 for iOS symbol visibility fix
- See runanywhere 0.15.9 changelog for details on the iOS fix
0.15.8 - 2025-01-10 #
Added #
- Initial public release on pub.dev
- LlamaCpp integration for on-device LLM inference
- GGUF model format support
- Streaming text generation
- Memory-efficient model loading
- Native bindings for iOS and Android
Features #
- High-performance text generation
- Token-by-token streaming output
- Configurable generation parameters (temperature, max tokens, etc.)
- Automatic model management and caching
Platforms #
- iOS 17.0+ support
- Android API 24+ support