Archived
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mlipy
Pure Python-based Machine Learning Interface for multiple engines with multi-modal support.
Python HTTP Server/Client (including WebSocket streaming support) for:
Prerequisites
Debian/Ubuntu
sudo apt update -y
sudo apt install build-essential git curl libssl-dev libffi-dev pkg-config
Python
- Install Python using internal repository:
sudo apt install python3.11 python3.11-dev python3.11-venv
- Install Python using external repository:
sudo add-apt-repository ppa:deadsnakes/ppa
sudo apt update -y
sudo apt install python3.11 python3.11-dev python3.11-venv
llama.cpp
cd ~
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
make -j
Run Development Server
Setup virtualenv and install requirements:
git clone https://github.com/mtasic85/mlipy.git
cd mlipy
python3.11 -m venv venv
source venv/bin/activate
pip install poetry
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
poetry install
Run server:
python -B -m mli.server --llama-cpp-path='~/llama.cpp'
Run Examples
Using GPU:
NGL=99 python -B examples/sync_demo.py
Using CPU:
python -B examples/sync_demo.py
python -B examples/async_demo.py
python -B examples/langchain_sync_demo.py
python -B examples/langchain_async_demo.py
Run Production Server
Generate self-signed SSL certificates
openssl req -x509 -nodes -newkey rsa:4096 -keyout key.pem -out cert.pem -days 365
Run
python3.11 -m venv venv
source venv/bin/activate
pip install -U mlipy
python -B -m mli.server
2 maintainers
Release files for mlipy 0.1.57
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mlipy-0.1.57.tar.gz | 15.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mlipy-0.1.57-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 30.6 kB
Release files / mlipy-0.1.57.tar.gz
| Download URL | mlipy-0.1.57.tar.gz |
|---|---|
| Size | 15.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.8.3 CPython/3.12.4 Linux/6.9.10-arch1-1
|
Release files / mlipy-0.1.57-py3-none-any.whl
| Download URL | mlipy-0.1.57-py3-none-any.whl |
|---|---|
| Size | 15.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.8.3 CPython/3.12.4 Linux/6.9.10-arch1-1
|
