Introduction to the Realtime-Bakllava Project
Realtime-Bakllava is an intriguing project that invites users into the world of Bakllava Llama using C++. This journey is designed to enable the execution of AI models with ease and a touch of sweetness. Aimed primarily at those working with Apple silicon chips, it offers detailed steps to get up and running.
Installing Llama C++
The first step in this adventure is installing Llama C++. The process begins with cloning the necessary repository from GitHub. Here’s how:
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Open the terminal and clone the repository:
git clone https://github.com/ggerganov/llama.cpp cd llama.cpp
For Linux and macOS users, building the project is straightforward. Use the make command to compile, or if you prefer cmake, you can build the release configuration.
Downloading the Model
The project requires specific AI models to function, which can be obtained from Hugging Face. You need to download two specific files:
ggml-model-q4_k.gguf(or any quantized model)mmproj-model-f16.gguf
Once these files are downloaded, they need to be linked in the Llama C++ directory. On macOS, the command looks like this:
./server -m YOUR_PATH/ggml-model-q4_k.gguf --mmproj YOUR_PATH/mmproj-model-f16.gguf -ngl 1
For those on Windows, a similar command is used with appropriate path replacements.
Running the Demo
After setup, you can run a demo to showcase the project's capabilities. Start by opening a new terminal window and clone the demo application:
git clone https://github.com/Fuzzy-Search/realtime-bakllava.git
cd realtime-bakllava
Optionally, a new Python virtual environment can be created for running the demo scripts. This involves installing necessary Python packages using a requirements file.
Using the Webcam
To start streaming video through the webcam:
python3 src/video_stream.py
Ensure that any potential issues with the FFMPEG library are resolved by modifying specific lines in the video_stream.py file if required.
Analyzing Images
For simpler image processing, use:
pip install -r picture_requirements.txt
python src/picture_drop.py --path src/sample_pic.png
Conclusion
The Realtime-Bakllava project provides an engaging way to experiment with AI using the Llama C++ framework. With clear instruction and support, it is an exciting opportunity for developers to explore AI-enhanced image processing. Enjoy your adventure with Llama C++!