Instructions to use lululuAI/python-boost with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lululuAI/python-boost with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lululuAI/python-boost", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use lululuAI/python-boost with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf lululuAI/python-boost:Q8_0 # Run inference directly in the terminal: llama cli -hf lululuAI/python-boost:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf lululuAI/python-boost:Q8_0 # Run inference directly in the terminal: llama cli -hf lululuAI/python-boost:Q8_0
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf lululuAI/python-boost:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf lululuAI/python-boost:Q8_0
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf lululuAI/python-boost:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf lululuAI/python-boost:Q8_0
Use Docker
docker model run hf.co/lululuAI/python-boost:Q8_0
- LM Studio
- Jan
- Ollama
How to use lululuAI/python-boost with Ollama:
ollama run hf.co/lululuAI/python-boost:Q8_0
- Unsloth Desktop
- Docker Model Runner
How to use lululuAI/python-boost with Docker Model Runner:
docker model run hf.co/lululuAI/python-boost:Q8_0
- Lemonade
How to use lululuAI/python-boost with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull lululuAI/python-boost:Q8_0
Run and chat with the model
lemonade run user.python-boost-Q8_0
List all available models
lemonade list
- Atomic Chat
Download adapter_model.safetensors from lululuAI/python-boost: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/lululuAI/python-boost/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://lululuAI/python-boost/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/lululuAI/python-boost/resolve/main/adapter_model.safetensors
168 MB
- Xet hash:
- d804b254eda4175dc4cd742f692734a365a1b21e3bc994e89188ad65401367ea
- Size of remote file:
- 168 MB
- SHA256:
- 76c095245fe35e776e29988e052b6edf7f1ce43060d5ac89cce4b4ccb4d893fa
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