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README.md
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@@ -5,6 +5,281 @@ colorFrom: indigo
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colorTo: green
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sdk: static
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pinned: false
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---
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-
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colorTo: green
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sdk: static
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pinned: false
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license: apache-2.0
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short_description: Framework for running AI locally on mobile devices and weara
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---
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[![Email][gmail-shield]][gmail-url] [![Discord][discord-shield]][discord-url] [![Design Docs][docs-shield]][docs-url]
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[gmail-shield]: https://img.shields.io/badge/Gmail-red?style=for-the-badge&logo=gmail&logoColor=white
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[gmail-url]: mailto:founders@cactuscompute.com
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[discord-shield]: https://img.shields.io/badge/Discord-5865F2?style=for-the-badge&logo=discord&logoColor=white
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[discord-url]: https://discord.gg/SdZjmfWQ
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[docs-shield]: https://img.shields.io/badge/DeepWiki-009485?style=for-the-badge&logo=readthedocs&logoColor=white
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[docs-url]: https://deepwiki.com/cactus-compute/cactus
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Cactus is a lightweight, high-performance framework for running AI models on mobile devices, with simple and consistent APIs across C/C++, Dart/Flutter and Ts/React-Native. Cactus currently leverages GGML backends to support any GGUF model already compatible with Llama.cpp.
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## 
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- Text completion and chat completion
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- Vision Language Models
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- Streaming token generation
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- Embedding generation
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- Text-to-speech model support (early stages)
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- JSON mode with schema validation
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- Chat templates with Jinja2 support
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- Low memory footprint
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- Battery-efficient inference
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- Background processing
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## 
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- APIs are increasingly becoming expensive, especially at scale
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- Private and local, data do not leave the device whatsoever
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- Low-latency anf fault-tolerant, no need for users to have internet connections
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- Small models excell at most tasks, big APIs are often only better at enterprise tasks like coding
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- Freedom to use any GGUF model, unlike Apple Foundations and Google AI Core
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- React-Native and Flutter APIs, no need for separate Swift and Android setups
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- iOS xcframework and JNILibs ifworking in native setup
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- Neat and tiny C++ build for custom hardware
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## 
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1. **Update `pubspec.yaml`:**
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Add `cactus` to your project's dependencies. Ensure you have `flutter: sdk: flutter` (usually present by default).
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```yaml
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dependencies:
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flutter:
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sdk: flutter
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cactus: ^0.1.0
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```
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2. **Install dependencies:**
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Execute the following command in your project terminal:
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```bash
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flutter pub get
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```
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3. **Basic Flutter Text Completion**
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```dart
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import 'package:cactus/cactus.dart';
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Future<String> basicCompletion() async {
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// Initialize context
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final context = await CactusContext.init(CactusInitParams(
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modelPath: '/path/to/model.gguf',
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contextSize: 2048,
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threads: 4,
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));
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// Generate response
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final result = await context.completion(CactusCompletionParams(
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messages: [
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ChatMessage(role: 'user', content: 'Hello, how are you?')
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],
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maxPredictedTokens: 100,
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temperature: 0.7,
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));
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context.free();
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return result.text;
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}
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```
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To learn more, see the [Flutter Docs](docs/flutter.md). It covers chat design, embeddings, multimodal models, text-to-speech, and more.
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## 
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1. **Install the `cactus-react-native` package:**
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Using npm:
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```bash
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npm install cactus-react-native
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```
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Or using yarn:
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```bash
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yarn add cactus-react-native
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```
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2. **Install iOS Pods (if not using Expo):**
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For native iOS projects, ensure you link the native dependencies. Navigate to your `ios` directory and run:
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```bash
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npx pod-install
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```
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3. **Basic React-Native Text Completion**
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```typescript
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import { initLlama } from 'cactus-react-native';
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// Initialize a context
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const context = await initLlama({
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model: '/path/to/your/model.gguf',
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n_ctx: 2048,
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n_threads: 4,
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});
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// Generate text
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const result = await context.completion({
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messages: [
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{ role: 'user', content: 'Hello, how are you?' }
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],
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n_predict: 100,
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temperature: 0.7,
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});
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console.log(result.text);
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```
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To learn more, see the [React Docs](docs/react.md). It covers chat design, embeddings, multimodal models, text-to-speech, and more.
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## 
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Cactus backend is written in C/C++ and can run directly on any ARM/X86/Raspberry PI hardware like phones, smart tvs, watches, speakers, cameras, laptops etc.
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1. **Setup**
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You need `CMake 3.14+` installed, or install with `brew install cmake` (on macOS) or standard package managers on Linux.
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2. **Build from Source**
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```bash
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git clone https://github.com/your-org/cactus.git
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cd cactus
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mkdir build && cd build
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cmake .. -DCMAKE_BUILD_TYPE=Release
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make -j$(nproc)
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```
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3. **CMake Integration**
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Add to your `CMakeLists.txt`:
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```cmake
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# Add Cactus as subdirectory
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add_subdirectory(cactus)
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# Link to your target
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target_link_libraries(your_target cactus)
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target_include_directories(your_target PRIVATE cactus)
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# Requires C++17 or higher
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```
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4. **Basic Text Completion**
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```cpp
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#include "cactus/cactus.h"
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#include <iostream>
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int main() {
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cactus::cactus_context context;
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// Configure parameters
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common_params params;
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params.model.path = "model.gguf";
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params.n_ctx = 2048;
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params.n_threads = 4;
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params.n_gpu_layers = 99; // Use GPU acceleration
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// Load model
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if (!context.loadModel(params)) {
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std::cerr << "Failed to load model" << std::endl;
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return 1;
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}
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// Set prompt
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context.params.prompt = "Hello, how are you?";
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context.params.n_predict = 100;
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// Initialize sampling
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if (!context.initSampling()) {
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std::cerr << "Failed to initialize sampling" << std::endl;
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return 1;
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}
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// Generate response
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context.beginCompletion();
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context.loadPrompt();
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while (context.has_next_token && !context.is_interrupted) {
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auto token_output = context.doCompletion();
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if (token_output.tok == -1) break;
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}
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std::cout << "Response: " << context.generated_text << std::endl;
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return 0;
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}
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```
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To learn more, see the [C++ Docs](docs/cpp.md). It covers chat design, embeddings, multimodal models, text-to-speech, and more.
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## 
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First, clone the repo with `git clone https://github.com/cactus-compute/cactus.git`, cd into it and make all scripts executable with `chmod +x scripts/*.sh`
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1. **Flutter**
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- Build the Android JNILibs with `scripts/build-flutter-android.sh`.
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- Build the Flutter Plugin with `scripts/build-flutter-android.sh`.
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- Navigate to the example app with `cd examples/flutter`.
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- Open your simulator via Xcode or Android Studio, [walkthrough](https://medium.com/@daspinola/setting-up-android-and-ios-emulators-22d82494deda) if you have not done this before.
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- Always start app with this combo `flutter clean && flutter pub get && flutter run`.
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- Play with the app, and make changes either to the example app or plugin as desired.
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2. **React Native**
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- Build the Android JNILibs with `scripts/build-react-android.sh`.
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- Build the Flutter Plugin with `scripts/build-react-android.sh`.
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- Navigate to the example app with `cd examples/react`.
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- Setup your simulator via Xcode or Android Studio, [walkthrough](https://medium.com/@daspinola/setting-up-android-and-ios-emulators-22d82494deda) if you have not done this before.
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- Always start app with this combo `yarn && yarn ios` or `yarn && yarn android`.
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- Play with the app, and make changes either to the example app or package as desired.
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- For now, if changes are made in the package, you would manually copy the files/folders into the `examples/react/node_modules/cactus-react-native`.
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2. **C/C++**
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- Navigate to the example app with `cd examples/cpp`.
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- There are multiple main files `main_vlm, main_llm, main_embed, main_tts`.
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- Build both the libraries and executable using `build.sh`.
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- Run with one of the executables `./cactus_vlm`, `./cactus_llm`, `./cactus_embed`, `./cactus_tts`.
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- Try different models and make changes as desired.
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4. **Contributing**
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- To contribute a bug fix, create a branch after making your changes with `git checkout -b <branch-name>` and submit a PR.
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- To contribute a feature, please raise as issue first so it can be discussed, to avoid intersecting with someone else.
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- [Join our discord](https://discord.gg/SdZjmfWQ)
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## 
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| Device | Gemma-3 1B Q8 (toks/sec) | Qwen-2.5 1.5B Q8 (toks/sec) |
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|:------------------------------|:------------------------:|:---------------------------:|
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| iPhone 16 Pro Max | 46 | 37 |
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| iPhone 16 Pro | 46 | 37 |
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| iPhone 16 | 42 | 36 |
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| iPhone 15 Pro Max | 39 | 31 |
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| iPhone 15 Pro | 39 | 31 |
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| iPhone 14 Pro Max | 38 | 29 |
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| OnePlus 13 5G | 37 | - |
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| Samsung Galaxy S24 Ultra | 36 | - |
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| iPhone 15 | 36 | 25 |
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| OnePlus Open | 33 | - |
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| Samsung Galaxy S23 5G | 32 | - |
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| Samsung Galaxy S24 | 31 | - |
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| iPhone 13 Pro | 30 | - |
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| OnePlus 12 | 30 | - |
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| Galaxy S25 Ultra | 25 | - |
|
| 260 |
+
| OnePlus 11 | 23 | - |
|
| 261 |
+
| iPhone 13 mini | 22 | - |
|
| 262 |
+
| Redmi K70 Ultra | 21 | - |
|
| 263 |
+
| Xiaomi 13 | 21 | - |
|
| 264 |
+
| Samsung Galaxy S24+ | 19 | - |
|
| 265 |
+
| Samsung Galaxy Z Fold 4 | 19 | - |
|
| 266 |
+
| Xiaomi Poco F6 5G | 19 | - |
|
| 267 |
+
|
| 268 |
+
## 
|
| 269 |
+
|
| 270 |
+
We created a demo chat app we use for benchmarking:
|
| 271 |
+
|
| 272 |
+
[](https://apps.apple.com/gb/app/cactus-chat/id6744444212)
|
| 273 |
+
[](https://play.google.com/store/apps/details?id=com.rshemetsubuser.myapp&pcampaignid=web_share)
|
| 274 |
+
|
| 275 |
+
## 
|
| 276 |
+
You can run up to 10B models at Q4 on most devices, but it is not recommended for production due to file size, speed, battery, heating performance.
|
| 277 |
+
We generally give the following recommendation.
|
| 278 |
+
|
| 279 |
+
- **Language Generation**: `SmolLM2-360m`, `Qwen-3-600m-Q6`, `Gemma-3-1B-Q6`, `Qwen-3-1.7B-Q6`
|
| 280 |
+
- **Multimodal Language Generation**: `Smol-VLM-500m-Q6`, `Gemma-3n-2B-Q6`
|
| 281 |
+
- **Embeddings**: `nomic-v2-moe-300m-Q6`, `jina-v3-570m-Q6`
|
| 282 |
+
- **Text-To-Speech**: `OuteTTS-0.2-500m-Q6`
|
| 283 |
+
|
| 284 |
+
Gemma-3n-2B-Q6 is a great omni model and beats GPT 4.1 across many metrics. It is multimodal (vision, audio) and can perfectly be used for embedding
|
| 285 |
+
text, images, audio, as well as zero-shot classification and more, with clever prompt engineering. We are trying hard to get the weights.
|