galadriel-node 0.0.2

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Galadriel inference node

Installation

# Setup venv or whatever environment you wish
python3 -m venv venv
source venv/bin/activate

pip install -e .

Setup .env

cp template.env .env
# Update values according to your setup

Run the node

galadriel node run

Or run with nohup to run in the background

nohup galadriel node run > logs.log 2>&1 &

Or include .env values in the command

GALADRIEL_LLM_BASE_URL="http://localhost:8000" galadriel node run
# or with nohup
GALADRIEL_LLM_BASE_URL="http://localhost:8000" nohup galadriel node run > logs.log 2>&1 &

LLM deployment

Make sure GPU exists and nvidia drivers are installed

nvidia-smi

Run vLLM natively

Make sure you create a separate python env

python3 -m venv venv
source venv/bin/activate
pip install vllm

Run vllm

This runs vllm on "http://localhost:11434", that is the default value

HUGGING_FACE_HUB_TOKEN=<HUGGING_FACE_TOKEN> \
nohup vllm serve neuralmagic/Meta-Llama-3.1-8B-Instruct-FP8 \
    --revision 3aed33c3d2bfa212a137f6c855d79b5426862b24 \
    --max-model-len 16384 \
    --gpu-memory-utilization 1 \
    --host localhost \
    --disable-frontend-multiprocessing \
    --port 11434 > logs_llm.log 2>&1 &

TODO: remove this part, once node released

Development

Setup node

ssh-keygen -t rsa -b 4096
# Add public key to repo "deploy keys"
# clone repo
cd galadriel-node

# deactivate other venv 
# deactivate
python3 -m venv venv
source venv/bin/activate

pip install -e .

Run node

GALADRIEL_API_KEY=<API KEY> \
    GALADRIEL_RPC_URL=ws://34.78.190.171/v1/node \
    nohup galadriel node run > logs.log 2>&1 &