Ollama: Ollama安装与环境配置

# macOS / Linux: one-line install
curl -fsSL https://ollama.com/install.sh | sh

# Verify installation
ollama --version
# ollama version is 0.5.x

# Check CPU architecture
uname -m
# Expected: x86_64 or aarch64

# Check available RAM in GB
free -g | awk '/^Mem:/{print $2}'

# Check NVIDIA GPU
nvidia-smi --query-gpu=name,memory.total --format=csv

# Check disk space
df -h / | awk 'NR==2{print $4}'

# 命令执行成功

# Option A: Homebrew install
brew install ollama

# Start the server
ollama serve

# Option B: Verify GUI app is running
ps aux | grep ollama

# Quick test
ollama run llama3.2 "Say hello in one sentence"

I'm a helpful AI assistant running locally on your machine...

# Install with official script (auto-detects GPU)
curl -fsSL https://ollama.com/install.sh | sh

# Check systemd service status
sudo systemctl status ollama

# Start/stop/restart service
sudo systemctl start ollama
sudo systemctl stop ollama
sudo systemctl restart ollama

# Enable auto-start on boot
sudo systemctl enable ollama

# Ollama 命令执行成功

# Install via winget
winget install Ollama.Ollama

# Verify installation
ollama --version

# If using WSL2 with NVIDIA GPU, verify inside WSL
wsl
nvidia-smi  # Should show GPU inside WSL
ollama run llama3.2 "Hello"

// 执行成功

# Linux/macOS: set environment variables
# Edit systemd service (Linux)
sudo systemctl edit ollama

# Add in the override file:
[Service]
Environment="OLLAMA_HOST=0.0.0.0:11434"
Environment="OLLAMA_MODELS=/data/ollama/models"
Environment="OLLAMA_KEEP_ALIVE=30m"

# Reload and restart
sudo systemctl daemon-reload
sudo systemctl restart ollama

# macOS: set via launchctl or shell profile
export OLLAMA_HOST=0.0.0.0:11434
ollama serve

NAME                    ID              SIZE    
llama3.2:latest        a80...          2.0 GB  
mistral:latest         61...           4.1 GB

# Check what process is using port 11434
lsof -i :11434
# or on Linux
ss -tlnp | grep 11434

# Kill the conflicting process if needed
kill -9 `<PID>`

# Or change Ollama port
export OLLAMA_HOST=127.0.0.1:8080
ollama serve

NAME                    ID              SIZE    
llama3.2:latest        a80...          2.0 GB  
mistral:latest         61...           4.1 GB

#!/bin/bash
# ============================================
# Comprehensive: Fresh server Ollama deployment
# Checks hardware, installs Ollama, verifies service
# ============================================

set -e

echo "=== Step 1: Hardware Check ==="
echo "CPU: $(nproc) cores"
echo "RAM: $(free -g | awk '/^Mem:/{print $2}')GB"

if command -v nvidia-smi &> /dev/null; then
    echo "GPU: $(nvidia-smi --query-gpu=name --format=csv,noheader)"
    echo "VRAM: $(nvidia-smi --query-gpu=memory.total --format=csv,noheader)"
else
    echo "GPU: Not detected (CPU-only mode)"
fi

echo "Disk: $(df -h / | awk 'NR==2{print $4}') available"

echo ""
echo "=== Step 2: Install Ollama ==="
curl -fsSL https://ollama.com/install.sh | sh

echo ""
echo "=== Step 3: Configure Environment ==="
sudo mkdir -p /data/ollama/models
sudo systemctl edit ollama <<EOF
[Service]
Environment="OLLAMA_HOST=0.0.0.0:11434"
Environment="OLLAMA_MODELS=/data/ollama/models"
Environment="OLLAMA_KEEP_ALIVE=30m"
EOF

sudo systemctl daemon-reload
sudo systemctl restart ollama

echo ""
echo "=== Step 4: Verify Service ==="
sleep 3
if curl -s http://localhost:11434/api/tags > /dev/null; then
    echo "SUCCESS: Ollama is running on port 11434"
    ollama --version
else
    echo "FAILED: Check logs with: journalctl -u ollama"
fi

echo ""
echo "=== Step 5: Pull First Model ==="
ollama pull llama3.2
echo "Deployment complete! Run: ollama run llama3.2"