4
Coding
Run local coding models and connect them to editors without sending code outside.
Ollama: what it is and what it is best at
The simplest way to run open models on your own computer or server.
The short version
At a glance
Made byOllama
CategoryModel makers
Strongest atprivacy & control, coding, ease of use
NameOllama is the product name; it is best known for making local models easy to run.
Overview
What Ollama is
Ollama lets you download and run open models locally with one command, and exposes a local API that other tools can use. Information stays on your own machines.
It is popular for private experimentation, development and teams with strict data rules.
Current models. Ollama runs many open models. Public trackers describe v0.19 (April 2026, faster on Apple silicon) and later releases adding desktop and coding-app features; check GitHub releases for the current version.
Where it is strong
Capability profile
Scores are Halden’s editorial view of typical fit on a 0–5 scale. They are not benchmark results and will differ by task, model version and plan: test on your own work.
Coding, analytics, documents, research
How it performs by task
3
Analysis & analytics
Useful for private analysis of sensitive files with a capable local model.
3
Documentation & writing
Good for private drafting; quality depends on the model you choose.
2
Research
Limited without search tools; best with your own documents.
Practical tips
Get more from Ollama
- Match the model size to your hardware.
- Use it for sensitive material you cannot send to a cloud service.
- Pair it with a retrieval setup for your own documents.
Watch-outs
- Local models are usually weaker than the best hosted ones.
- You are responsible for updates and security.
What has changed recently
Latest news and releases
- Ollama v0.24.0
A release tracker describes support for launching a local Codex app, a built-in browser and review mode.
Source: releases.sh - Ollama v0.19
Reported as a major speed-up on Apple silicon using MLX.
Source: Product Hunt
Compiled on October 9, 2026 from public reporting, much of it secondary. Dates, names and specifications can change, so confirm on Ollama’s own site before you rely on them.
Go deeper
How-to guides for Ollama and similar tools
September 28, 2026 · 3 min readRunning open models privately: a practical starter with OllamaWhen information cannot leave your machines, open models can run locally. Here is how to start without a big infrastructure project.September 27, 2026 · 3 min readChoosing an open-weight model: DeepSeek, Qwen, Mistral and GLM comparedOpen-weight models let you host your own AI. Choosing between them is about licence, language, size, support and the evidence on your own tasks.October 9, 2026 · 3 min readAn AI policy for small teams: one page that people will actually readA useful AI policy is short enough to remember and specific enough to use on a Tuesday afternoon. Here is a one-page structure that works for growing teams.
Keep exploring
Compare with other tools
FAQ
Ollama: common questions
What is Ollama?
A tool that runs open AI models locally.
Do I need a GPU?
Smaller models run on ordinary laptops; larger ones benefit from a strong GPU or Apple silicon.
Is it private?
Models run on your hardware, so prompts and files stay local.
A next step
Choose tools on evidence from your own work.
Run a short pilot with the people who will use Ollama, measure the result, and decide with data, not hype.