Ollama lets you run large language models locally — no API keys, no cloud, no costs.
What You Get for Free
- 100+ models — Llama 3, Mistral, Gemma, Phi, CodeLlama, and more
-
One-command run —
ollama run llama3and chat - OpenAI-compatible API — use with any OpenAI SDK
- GPU acceleration — NVIDIA, AMD, Apple Silicon
- Model customization — create Modelfiles for custom system prompts
- Local & private — your data never leaves your machine
- Multimodal — vision models (LLaVA) for image understanding
- Embedding models — for RAG and vector search
Quick Start
# Install
curl -fsSL https://ollama.com/install.sh | sh
# Run a model (auto-downloads)
ollama run llama3.1
# OpenAI-compatible API
curl http://localhost:11434/v1/chat/completions \
-d '{"model":"llama3.1","messages":[{"role":"user","content":"Hello"}]}'
# Use with Python
from openai import OpenAI
client = OpenAI(base_url="http://localhost:11434/v1", api_key="unused")
response = client.chat.completions.create(model="llama3.1", messages=[...])
Why Developers Run Local LLMs
Cloud LLM APIs cost money and send your data externally:
- $0 per query — run unlimited queries locally
- Privacy — code, documents, and conversations stay on your machine
- No rate limits — as fast as your hardware allows
- OpenAI drop-in — switch from GPT-4 to local with one URL change
A freelance developer was spending $80/mo on OpenAI for code assistance. They switched to Ollama with CodeLlama on their M2 MacBook — same coding help, zero monthly cost, and client code never leaves their laptop.
Need Custom Data Solutions?
I build production-grade scrapers and data pipelines for startups, agencies, and research teams.
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Custom project? Email me: spinov001@gmail.com — fast turnaround, fair pricing.
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