The Hailo Model Zoo GenAI is a curated collection of pre-trained models and example applications optimized for Hailo's AI processors, designed to accelerate GenAI application development. It includes Hailo-Ollama, an Ollama-compatible API written in C++ on top of HailoRT, enabling seamless integration with various external tools and frameworks.
Ollama simplifies running large language models locally by managing model downloads, deployments, and interactions through a convenient REST API.
Models are specifically optimized for Hailo hardware, providing efficient, high-performance inference tailored for GenAI tasks.
For a detailed list of supported models, including download links and relevant information, visit the models page.
- Hailo-10H module.
- Ensure HailoRT is installed.
- The Hailo-Ollama is only supported on Linux OS.
- Pre-built Debian package (Recommended):
Download the latest Debian package from the Developer Zone.
Install it:
sudo dpkg -i hailo_gen_ai_model_zoo_<ver>_<arch>.deb
- Build from source (Alternative):
Clone the repository and build the Hailo-Ollama server:
git clone https://github.com/hailo-ai/hailo_model_zoo_genai.git cd hailo-model-zoo-genai/ mkdir build && cd build cmake -DCMAKE_BUILD_TYPE=Release .. cmake --build .Install to user home (still in the
builddir):cp ./src/apps/server/hailo-ollama ~/.local/bin/ mkdir -p ~/.config/hailo-ollama/ cp ../config/hailo-ollama.json ~/.config/hailo-ollama/ mkdir -p ~/.local/share/hailo-ollama cp -r ../models/ ~/.local/share/hailo-ollama
Start the Hailo-Ollama server:
hailo-ollama
List available models:
curl --silent http://localhost:8000/hailo/v1/list
Pull a specific model. For example:
curl --silent http://localhost:8000/api/pull \ -H 'Content-Type: application/json' \ -d '{ "model": "qwen2:1.5b", "stream" : true }'Chat with the model:
curl --silent http://localhost:8000/api/chat \ -H 'Content-Type: application/json' \ -d '{"model": "qwen2:1.5b", "messages": [{"role": "user", "content": "Tell me a joke"}]}'
Open WebUI is an optional user-friendly web interface that provides a modern web-based interface for chat with Hailo LLMs. It offers a convenient alternative to command-line interactions, allowing users to interact with AI models through an intuitive browser-based interface.
Benefits of using Open WebUI include:
- Easy-to-use interface: No need to use curl commands or write custom scripts - simply access the web interface through your browser
- Visual model management: Browse and select available LLM or VLM models from a user-friendly interface
- Conversation history: Keep track of your chat sessions and conversation history
- Multi-model support: Easily switch between different models without changing commands
- Accessibility: Access your Hailo-Ollama server from any device with a web browser on the same network
Open WebUI can be installed and run as a separate Docker container that works alongside the Hailo Model Zoo GenAI installation. It connects to the Hailo-Ollama server, providing an intuitive web-based interface for interacting with GenAI models running on Hailo devices. Pull the Hailo-Ollama server LLM or VLM models from the available models and start chatting with an AI through the web interface.
Example for running the Hailo-Ollama server with WebUI:
Start the Hailo-Ollama server:
hailo-ollama
In a separate terminal, install and run Open WebUI using Docker:
docker run -d --net=host -e OLLAMA_BASE_URL=http://127.0.0.1:8000 -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:main
Access the WebUI at http://localhost:8080.
Note
The --net=host option is required to allow the Open WebUI Docker container to access the Hailo-Ollama server running on the host machine at localhost:8000. Without this option, the container would have its own network namespace and wouldn't be able to reach services on the host via localhost.
The Open WebUI Docker command assumes the Hailo-Ollama server is running on port 8000 (the default). Adjust the OLLAMA_BASE_URL environment variable if your Hailo-Ollama server is running on a different port or host.
For detailed usage instructions and advanced examples, see the USAGE page.
See the CHANGELOG page for detailed release notes.
The Hailo Model Zoo GenAI is distributed under the MIT license. Refer to the LICENSE file for details.
For support, please post your question on the Hailo community Forum or contact us directly via hailo.ai.
Hailo provides innovative AI Inference Accelerators and AI Vision Processors specifically engineered for efficient, high-performance embedded deep learning applications on edge devices.
Hailo's AI Inference Accelerators enable edge devices to execute deep learning applications at full scale, leveraging architectures optimized for neural network operations. The Hailo AI Vision Processors (SoC) integrate powerful AI inferencing with advanced computer vision, delivering superior image quality and sophisticated video analytics.
For more information, visit hailo.ai.
