GensynTestnet

• GensynTestnet - Join Swarm Now

💻 System Requirements

Requirement	Details
CUDA Devices (Recommended)	RTX 3090, RTX 4090, A100, H100
CPU Architecture	arm64 or amd64
Recommended RAM	+ 24 GB

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First Step

• Rent GPU -

https://cloud.vast.ai

https://app.hyperbolic.xyz/

https://console.quickpod.io

RTX 3090 RTX 4090 A100 H100

Note: You can run the node without a GPU using CPU-only mode.

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2 Step

• Connect To Your Server -

1 - open powershell on windows

2 -

ssh-keygen -t rsa 

3 - press enter to save the file

4 - copy your public key ( SSH )

Replace Your Address

Get-Content C:\Users\.../.ssh/id_rsa.pub | Set-Clipboard

5 - go back to the website and define ssh key for your servers

6 - get your private key on your windows powershell

Replace Your Address

Get-Content C:\Users\.../.ssh/id_rsa | Set-Clipboard 

7 - go to termius and set a keychain with your private and public key

8 - right now add a new host with ip and port ( your provider will give you )

Done

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1. Install sudo and other dependencies

apt update && apt install -y sudo 
sudo apt update && sudo apt install -y python3 python3-venv python3-pip curl wget screen git && curl -sS https://dl.yarnpkg.com/debian/pubkey.gpg | sudo apt-key add - && echo "deb https://dl.yarnpkg.com/debian/ stable main" | sudo tee /etc/apt/sources.list.d/yarn.list && sudo apt update && sudo apt install -y yarn

3. Install Python

sudo apt-get install python3 python3-pip python3-venv python3-dev -y

4. Install Node

sudo apt-get update
curl -fsSL https://deb.nodesource.com/setup_22.x | sudo -E bash -
sudo apt-get install -y nodejs
node -v
yarn -v

Get HuggingFace Access token

1- Create account in HuggingFace

2- Create an Access Token with Write permissions here and save it

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3) Clone the Repository

git clone https://github.com/gensyn-ai/rl-swarm/
git clone https://github.com/cryptoneth/GensynTestnet
mv GensynTestnet/run_rl_swarm.sh rl-swarm/run_rl_swarm.sh
cd rl-swarm

4) Run the swarm

Open a screen to run it in background

screen -S gensyn

Install swarm

pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121

python3 -m venv .venv && . .venv/bin/activate &&  chmod +x ./run_rl_swarm.sh && ./run_rl_swarm.sh

Press Y

5) Login

go to ngrok Get the token from: https://dashboard.ngrok.com/get-started/your-authtoken

paste your AuthToken

Then Open Link And Connect To Gensyn Testnet with your Email

Then Paste Your Hugging Face Token

Every Things Fine Right Now

Just Copy Your Node Name And Wait For Correct Log

Press Crtl + A + D

6) Backup

1- Node name

• Now your node started running, Find your name after word Hello, like mine is whistling hulking armadillo as in the image below (You can use CTRL+SHIFT+F to search Hello in terminal)

**2- Save swarm.pem file in this directory: /root/rl-swarm/

and make sure to back up these

cd
cat rl-swarm/modal-login/temp-data/userData.json

cd
cat rl-swarm/modal-login/temp-data/userApiKey.json

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Screen commands

• Minimize: CTRL + A + D
• Return: screen -r swarm
• Stop and Kill: screen -XS swarm quit

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Track Your Node With this Bot on Tg

@gensyntrackbot

Example : /check QmZPwBPynMxz56tTaj25QFXdo2YFHA....

Done, Welcome To Swarm

##Update Your Node

cd

rm -r GensynTestnet

git clone https://github.com/cryptoneth/GensynTestnet/

cd GensynTestnet

chmod +x gensyn_update.sh && ./gensyn_update.sh

##Reset Your Node

screen -x gensyn 

pkill -SIGKILL -f hivemind

cd rl-swarm

python3 -m venv .venv && . .venv/bin/activate &&  chmod +x ./run_rl_swarm.sh && ./run_rl_swarm.sh

#Gensyn