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name: onde_inference |
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description: >- |
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On-device LLM inference for Flutter & Dart. Run Qwen 2.5 models locally |
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with Metal on iOS and macOS, CPU on Android and desktop. No cloud, no API key. |
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version: 1.0.0 |
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repository: https://github.com/ondeinference/onde |
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homepage: https://ondeinference.com |
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issue_tracker: https://github.com/ondeinference/onde/issues |
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license: MIT OR Apache-2.0 |
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environment: |
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sdk: ">=3.8.0 <4.0.0" |
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flutter: ">=3.32.0" |
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dependencies: |
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flutter: |
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sdk: flutter |
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flutter_rust_bridge: ^2.12.0 |
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freezed_annotation: ^3.1.0 |
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dev_dependencies: |
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flutter_test: |
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sdk: flutter |
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flutter_lints: ^5.0.0 |
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# freezed + build_runner are required by FRB 2.x codegen for union/sealed types. |
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# After running `flutter_rust_bridge_codegen generate`, also run: |
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# dart run build_runner build --delete-conflicting-outputs |
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freezed: ^3.2.5 |
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build_runner: ^2.4.9 |
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# NOTE: The FFI code-generator is a Rust binary — NOT a Dart package. |
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# Install it once with: |
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# cargo install flutter_rust_bridge_codegen |
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# Then regenerate the dart:ffi glue from the package root with: |
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# flutter_rust_bridge_codegen generate |
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flutter: |
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plugin: |
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platforms: |
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android: |
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ffiPlugin: true |
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ios: |
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ffiPlugin: true |
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pluginClass: OndeInferencePlugin |
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macos: |
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ffiPlugin: true |
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pluginClass: OndeInferencePlugin |
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linux: |
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ffiPlugin: true |
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windows: |
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ffiPlugin: true |