Amrendra N MishraThe Problem With Cloud AI Every token costs money. Every API call adds up. And your data...
Every token costs money. Every API call adds up. And your data goes to their servers.
brew install ollama
ollama pull llama3.2
ollama serve
Now you have a GPT-4 level model running on your MacBook. Free. Private. Fast.
import requests
def ask_local_ai(question):
r = requests.post(
"http://localhost:11434/api/generate",
json={"model": "llama3.2", "prompt": question, "stream": False}
)
return r.json()["response"]
# Works immediately, no API key needed
answer = ask_local_ai("Explain Docker in one paragraph")
print(answer)
| Model | Size | Best For |
|---|---|---|
| llama3.2 | 2GB | General use |
| codellama | 4GB | Code tasks |
| mistral | 4.4GB | Fast reasoning |
| phi3 | 2.2GB | Lightweight tasks |
| gemma2 | 5.4GB | Complex reasoning |
I built 45 tools using this stack. All free. All local. All open source.
github.com/amrendramishra/ai-tools
VP at JPMorgan Chase. Building AI tools at amrendranmishra.dev