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Reported by sourceThe source says this happened. Top 200 Repos has not reproduced it.

Run an open-weight model locally and call it from your code

Install Ollama, pull an open model and call it through the local REST API so prompts stay on your machine.

Try the promptRead the original (opens in a new tab)

The problem

How it works

The README covers install scripts for macOS, Windows and Linux plus a Docker image. You start a chat with `ollama run` and a model name, then call the REST API on localhost port 11434, for example the `/api/chat` endpoint, or use the Python and JavaScript client libraries. It also shows launching coding agents such as Claude Code against Ollama.

Results and limitations

The project describes itself as a privacy-focused way to run open models locally, with optional cloud access.

Before you try it

The README gives no memory or hardware sizing, so check model size against your RAM or VRAM. Output quality depends on the model you choose. Results depend on your setup and were not independently reproduced by Top 200 Repos.

Tools and repositories

Tools
Ollama · Docker (optional)
Prerequisites
Enough RAM or GPU memory for the chosen model; no API key for local use.

Try it yourself: Set up a local model endpoint

Fill the fields to adapt the prompt. Empty fields stay as visible [placeholders].

Preview
Help me run [Model] locally with Ollama on [Operating system]. First check whether Ollama is already installed and how much RAM and GPU memory this machine has, then tell me whether the model is likely to fit; suggest a smaller variant if not. Show the install and pull commands and wait for my go-ahead before running them, since the download may be several gigabytes. Once it runs, write a short [Script language] script that sends a test prompt to the local /api/chat endpoint and prints the reply. Keep the server bound to localhost unless I ask otherwise.

Do not expose the Ollama port to your network without adding authentication in front of it.

Related videos

About ollama/ollama

Independent creators. Listing a video implies no endorsement, sponsorship or partnership.

Sources

  1. ollama/ollama README (opens in a new tab)

    Project documentation · github.com · Undated · Source checked 9 Nov 2026, 22:21 UTC

    What this source supports
    • Install scripts for macOS, Windows, Linux and a Docker image
    • `ollama run` starts a chat with a model
    • REST API at localhost:11434 with an /api/chat endpoint
    • Python and JavaScript client libraries
    • Integrations with coding agents such as Claude Code and Codex
Report a problem

Reported by source

Extract invoice fields locally with a vision model on Ollama

Stephen Sebastian replaced a paid cloud OCR API with Gemma 4 E4B on Ollama to pull date, amount and description from contractor invoice photos on his laptop.

dev.toollama/ollama
Planned, not done

Auto-tag receipts and bills in Paperless-ngx with paperless-ai

paperless-ai suggests titles, tags, correspondents and dates for documents in a Paperless-ngx archive, using a local Ollama model or a cloud LLM, with manual review and undo.

github.comollama/ollama
Reported by source

Control smart-home devices with a local LLM voice assistant

Connect Home Assistant to a local Ollama model as its conversation agent so you can ask it to control exposed devices privately.

github.comhome-assistant/core, ollama/ollama
Planned, not done

Record and summarise meetings on your own machine with Meetily

Meetily records calls, transcribes them on the device with Whisper or Parakeet, and writes summaries with a local Ollama model or a cloud model you pick.

github.comollama/ollama
Reported by source

Get a new OCR model running on unfamiliar GPU hardware with Claude Code in a sandbox

Simon Willison gave Claude Code full permissions inside a Docker container on an NVIDIA Spark and had it get DeepSeek-OCR working; it took four prompts and under 40 minutes, with one nudge from him.

simonwillison.net · 20 Oct 2025anthropics/claude-code, pytorch/pytorch, huggingface/transformers
Planned, not done

Import recipes and plan the week's meals in self-hosted Mealie with an AI provider

Mealie is a self-hosted recipe manager and meal planner; with an OpenAI-compatible provider it can turn web pages, pasted text or photos into recipes, parse ingredients and suggest tags.

github.comollama/ollama