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https://github.com/Fuzzy-Search/realtime-bakllava
llama.cpp with BakLLaVA model describes what does it see
https://github.com/Fuzzy-Search/realtime-bakllava
bakllavva cpp demo-application inference llama llamacpp llm
Last synced: about 1 month ago
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llama.cpp with BakLLaVA model describes what does it see
- Host: GitHub
- URL: https://github.com/Fuzzy-Search/realtime-bakllava
- Owner: Fuzzy-Search
- Created: 2023-11-04T19:49:00.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2023-11-08T08:17:35.000Z (about 1 year ago)
- Last Synced: 2024-10-30T00:52:22.265Z (about 2 months ago)
- Topics: bakllavva, cpp, demo-application, inference, llama, llamacpp, llm
- Language: Python
- Homepage:
- Size: 2.84 MB
- Stars: 380
- Watchers: 4
- Forks: 45
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 🍰 Bakllava Llama C++ Tutorial 🦙
Welcome to the delicious world of Bakllava Llama with C++! Follow these steps to get your code running and indulge in AI sweetness! 😋
🚨 Properly tested only with Apple silicon chip
[youtube installation guide](https://youtu.be/UyRFbGK9QmI)
similar relevant project: [Be My Eyes" web app](https://github.com/lxe/llavavision#getting-started)
## 🚀 Step 1: Install Llama C++
First things first, let's get the Llama C++ installed.
🔗 Clone the repository from GitHub:
```jsx
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp
```
### On Linux & macOS:
🛠 Build with make:
```
make
```
🏗 Or, if you prefer cmake:
```
cmake --build . --config Release
```
## 📦 Step 2: Download the Model!
1. 📥 Download from Hugging Face - [mys/ggml_bakllava-1](https://huggingface.co/mys/ggml_bakllava-1/tree/main) this 2 files:
* 🌟 ggml-model-q4_k.gguf (or any other quantized model) - only one is required!
* 🧊 mmproj-model-f16.gguf
2. ✂️ Copy the paths of those 2 files.
3. 🏃♂️ Run this in the llama.cpp repository (replace YOUR_PATH with the paths to the files you downloaded):
#### macOS
```
./server -m YOUR_PATH/ggml-model-q4_k.gguf --mmproj YOUR_PATH/mmproj-model-f16.gguf -ngl 1
```
#### Windows
```
server.exe -m REPLACE_WITH_YOUR_PATH\ggml-model-q4_k.gguf --mmproj REPLACE_WITH_YOUR_PATH\mmproj-model-f16.gguf -ngl 1
```
4. 🎉 The llama server is now up and running!
⚠️ NOTE: Keep the server running in the background.
5. 📹 Let's run the script to use the webcam or send it a single picture!
## 🏃♀️ Step 3: Running the Demo
Open a new terminal window and clone the demo app:
```
git clone https://github.com/Fuzzy-Search/realtime-bakllava.git
cd realtime-bakllava
```
### 🛠 (Optional) Create a new Python virtual environment and activate it
```
python3 -m venv bakllava-venv
source bakllava-venv/bin/activate
pip3 install -r requirements.txt
```
### 🎥 Webcam Script
To start streaming from your webcam:
! if you have problem with FFMPEG lib, download the source code and in file src/video_stream.py modify second line of code
```
python3 src/video_stream.py
```
### 🖼 Simple Picture Drop
```
pip install -r picture_requirements.txt
python src/picture_drop.py --path src/sample_pic.png
```
## 📝 Enjoy your adventure with Llama C++! 🚀🦙
## Star History
[](https://star-history.com/#Fuzzy-Search/realtime-bakllava&Date)