Flock - Training Node

Training Node Guide - Start Participating Early to Gain an Edge When the Competition Starts

1. Prerequisites and Setup

• Wallet: Use MetaMask.

• Network: Base Sepolia.

• Recommendation: Use a new wallet or a testnet wallet to avoid risks with mainnet assets.

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2. Verify GitHub and Claim $FML Tokens

• Go to GitHub and verify your account.

• After verification, claim $FML tokens.

3. Stake Your Tokens

1. Go to Stake-to-Earn.
2. Search for cryptonode3 or address 0xe0a9ac439135dfadd0c1502d6d12c38f272d8102.

3. Stake your $FML tokens to participate.

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4. Get Your API Key

• In the Stake-to-Earn dashboard, click the dropdown at the top left corner to get your API Key.

  This API key will be used in later steps, so keep it safe.

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5. Create a Token on Hugging Face

• Register on Hugging Face using your GitHub or Google account: Hugging Face Tokens.
• In Settings, create a token named "Flock".

• Save both your Hugging Face token and username.

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6. Set Up Your Environment

Windows Users: Install WSL

• Follow the Windows Subsystem for Linux installation guide from Flock.

Linux Users: Install Miniconda

1. Download the Miniconda installer:

   wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh

2. Run the installer:

   bash Miniconda3-latest-Linux-x86_64.sh

3. Add Conda to Shell (Current Session):

   eval "$(/root/miniconda3/bin/conda shell.bash hook)"

4. Permanently Initialize Conda:

   conda init

   • Restart your terminal or source it:

     source ~/.bashrc

5. Verify Conda Installation:

   conda --version

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7. Clone the Training Node Quickstart Repository

• Clone the repository that contains the setup script:

  git clone https://github.com/FLock-io/testnet-training-node-quickstart.git

• Enter the project directory and install packages:

  conda create -n training-node python==3.10
  conda activate training-node
  pip install -r requirements.txt

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8. Select Your Task ID

• View available tasks and choose one from Flock Tasks.

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9. Run the Full Automation Script

Use your API key, task ID, Hugging Face token, and username to start training your node.

Linux Command:

TASK_ID=<task-id> FLOCK_API_KEY="<your-flock-api-key>" HF_TOKEN="<your-hf-token>" CUDA_VISIBLE_DEVICES=0 HF_USERNAME="<your-hf-username>" python full_automation.py

Windows Command (PowerShell):

$env:TASK_ID = "<task-id>"
$env:FLOCK_API_KEY = "<your-flock-api-key>"
$env:HF_TOKEN = "<your-hf-token>"
$env:CUDA_VISIBLE_DEVICES = "0"
$env:HF_USERNAME = "<your-hf-username>"
python full_automation.py

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10. Check Node Status

Once your training node participates in AI model validation, it will appear on the Stake-to-Earn Dashboard.

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Additional Resources

• Official Documentation for further details.

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