ollama VS ollama-python

Download: Go to https://ollama.com/ and click on the download link for your operating system.

Most AI resume tools call out to OpenAI or Anthropic and charge you for every request. Persona supports Ollama — which means you can run the AI model locally on your own hardware, with zero API costs and zero data leaving your machine.

To solve these, we built a stack that prioritizes integrity over ease. The centerpiece is Ollama, running the mxbai-embed-large model locally. This is the engine that translates human thought into high-dimensional coordinates.

Ollama for model serving

Fully offline: Point it at Ollama or LM Studio. Zero cost, nothing leaves your network.

Recommended hardware: The RTX 3060 with 12 GB VRAM is the budget king here — all these models fit with room to spare for KV cache overhead, even Gemma 4:12B (which needs ~8.5–9 GB with overhead). An RTX 4060 Ti 16 GB gives you more headroom. On the Apple side, any M2 or M3 MacBook with 16 GB unified memory handles these models comfortably via Ollama's Metal backend.

This guide shows how to swap out every cloud API with a local Ollama server running qwen3-coder:30b. Same tools, same workflows, no data leaving your network.

Related: 35B MoE on 2× 1080 Ti · Ollama

The sample is a tiny console app running entirely against a local Ollama model — no cloud keys, and every HTTP call is traced so I can see exactly what goes over the wire (complete sample code). There's a single skill on disk:

irm https://ollama.com/install.ps1 | iex

Code Examples

To work with Ollama from Python, there is an Ollama Python Library.

If you don't want to make direct API calls, there are actual official Ollama python bindings[1]. Cool project though!

[1] https://github.com/ollama/ollama-python

Not on the Ollama side.

This sample code shows how a sample implementation of a tool like `get_current_weather` might look like in Python:

https://github.com/ollama/ollama-python/blob/main/examples/t...

For instance: Let's use the python library for Ollama.

ollama is a versatile tool designed for running large language models (LLMs) locally on your computer. It offers a streamlined and user-friendly way to leverage powerful AI models like Llama 3, Mistral, and others without relying on cloud services. This approach provides significant benefits in terms of speed, privacy, and cost efficiency, as all data processing happens locally, eliminating the need for data transfers to external servers. Additionally, its integration with Python enables seamless incorporation into existing workflows and projects​.

Ollama Python Lib