Phase 2: Pi Mesh AI - Multi-node, Multi-model - ACTIVE
IP: 192.168.1.31
Model: Pi 5 (8GB RAM), TinyLlama-1.1B-Chat Q4_K_M
Role: Fast, lightweight local chat, quick tasks
ssh brand@192.168.1.31
asktiny "Quick answer for mesh ops?"
IP: 192.168.1.43
Model: Pi 5 (16GB RAM), Llama-2-7B Q4_K_M
Role: Heavy LLM lifting, deeper answers, research
ssh brand@192.168.1.43
ask7b "What is the purpose of mesh AI?"
IP: 192.168.1.30
Model: RTX 3070 Ti (64GB RAM) [future]
Role: Central orchestration & GPU-based models
vcgencmd measure_temp # Pi CPU temp
htop # CPU/mem
df -h # Disk
free -h # RAM
lsusb # USB/cams
vcgencmd get_throttled # Voltage/cooling status
uptime -s # Last boot
cat /etc/os-release && uname -a # OS info
nano ~/.bash_aliases
source ~/.bash_aliases
ask7b "What is your quest?"
~/.bash_aliases
persist across sessions. alias | grep ask7b
to verify.
# SSH keygen for passwordless login:
ssh-keygen -t rsa -b 4096
ssh-copy-id brand@192.168.1.31
ssh-copy-id brand@192.168.1.43
# Tailscale for remote access (free/personal use):
curl -fsSL https://tailscale.com/install.sh | sh
sudo tailscale up
# Use your Tailscale hostname in SSH:
ssh brand@tangnet-node-02.tailnet-yourname.ts.net