edge_veda 2.1.0 copy "edge_veda: ^2.1.0" to clipboard
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On-device AI runtime for Flutter — text generation, vision, speech-to-text, embeddings, RAG, structured output, and function calling. Runs Llama, Phi, Gemma, SmolVLM, and Whisper models locally with M [...]

Use this package as a library

Depend on it

Run this command:

With Dart:

 $ dart pub add edge_veda

With Flutter:

 $ flutter pub add edge_veda

This will add a line like this to your package's pubspec.yaml (and run an implicit dart pub get):

dependencies:
  edge_veda: ^2.1.0

Alternatively, your editor might support dart pub get or flutter pub get. Check the docs for your editor to learn more.

Import it

Now in your Dart code, you can use:

import 'package:edge_veda/edge_veda.dart';
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verified publisherkurioai.co

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On-device AI runtime for Flutter — text generation, vision, speech-to-text, embeddings, RAG, structured output, and function calling. Runs Llama, Phi, Gemma, SmolVLM, and Whisper models locally with Metal GPU acceleration. Compute budget contracts enforce p95 latency, battery, thermal, and memory guarantees. Private by default — zero cloud dependencies during inference.

Repository (GitHub)
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Topics

#ai #machine-learning #on-device #llm #inference

License

unknown (license)

Dependencies

crypto, ffi, flutter, http, json_schema, local_hnsw, path, path_provider

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