Gensyn-ai
Last updated
Last updated
CPU: Minimum 16GB RAM (more RAM recommended for larger models or datasets).
OR
GPU (Optional): Supported CUDA devices for enhanced performance:
RTX 3090
RTX 4090
A100
H100
recommend GPUs with >=24GB vRAM.
Note: You can run the node without a GPU using CPU-only mode.
Create screen with named swarm
Input this code into your terminal
Select your model
for type rtx 3080,3090 and below recommended choose math A 0.5 or 1.5
for type 4090 and above you can choose Math A 7
2- Back to /root ,with ctrl A+D
Find this link and click or copy then paste to your browser
3- Login with your email
After login, your terminal starts installation.
4- Optional: Push models to huggingface
Enter your HuggingFace access token you've created when it prompted
This will need 2GB upload bandwidth for each model you train, you can pass it by entering
Now your node started running, Find your name after word INFO:hivemind_exp.trainer.hivemind_grpo_trainer: , like mine is aquatic monstrous peacock as in the image below (You can use CTRL+SHIFT+F to search INFO:hivemind_exp.trainer.hivemind_grpo_trainer: in terminal
Minimize: CTRL + A + D
Return: screen -r swarm
Stop and Kill: screen -XS swarm quit
You need to backup swarm.pem.
VPS:Connect your VPS using Mobaxterm client to be able to move files to your local system. Back up these files:**
/root/rl-swarm/swarm.pem
WSL:Search \\wsl.localhost in your Windows Explorer to see your Ubuntu directory. Your main directories are as follows:
If installed via a username: \\wsl.localhost\Ubuntu\home\<your_username>
If installed via root: \\wsl.localhost\Ubuntu\root
Look for rl-swarm/swarm.pem
GPU servers (.eg, Hyperbolic):1- Connect to your GPU server by entering this command in Windows PowerShell terminal
Replace [email protected] with your given GPU hostname
Replace PORT with your server port (in your server ssh connection command)
ubuntu is the user of my hyperbolic gpu, it can be anything else or it's root if you test it out for vps
Once connected, you’ll see the SFTP prompt:
2- Navigate to the Directory Containing the Files
After connecting, you’ll start in your home directory on the server. Use the cd command to move to the directory of your files:
3- Download Files
Use the get command to download the files to your local system. They’ll save to your current local directory unless you specify otherwise:
Downloaded file is in the main directory of your Powershell or WSL where you entered the sFTP command.
If entered sftp command in Powershell, the swarm.pem file might be in C:\Users\<pc-username>.
You can now type exit to close connection. The files are in the main directory of your Powershell or WSL where you entered the first SFTP command.
If you need to upload files from your local machine to the server.
WSL & VPS: Drag & Drop option.
GPU servers (.eg, Hyperbolic):
1- Connect to your GPU server using sFTP
2- Upload Files Using the put Command:
In SFTP, the put command uploads files from your local machine to the server.
Add this flag: -L 3000:localhost:3000 in front of your Hyperbolic's SSH-command, this will allow you to access to login page via local system
5- Choose a supported GPU (I recommend >=24GB Per-GPU vRAM)
6- Increase Disk Space slidebar to 200GB
7- Top-up with credits and rent it.
9- Create an ssh key,
10- Copy SSH Command, and Replace -L 3000:localhost:3000 in front of the command.
11- Enter the command in Windows Powershell and run it
Node-ID is near your Node name
⚠️ If receiving EVM Wallet: 0x0000000000000000000000000000000000000000, your onchain-participation is not being tracked and you have to Install with New Email and Delete old swarm.pem
1- Modify: package.json
Update: "viem": to "2.25.0"
2- Upgrade
Navigate:
Edit:
Lower max_steps to 5
Create Ngrok account on here : copy your token
1- You have to receive Waiting for userData.json to be created... in log
To install the node on Hyperbolic check this
1- Register in
2- Create ssh key in your local system (If you don't have already) with this
3- Paste SSH public key to Setting > SSH Keys
4- Select Pytorch(Vast) template
8- Go to , refresh the page, click on key button
Top 100 round-participants:
Search you Node ID here with /check here:
