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Ollama

Ollama is a local runtime for large language models (LLMs) that provides an application programming interface (API) and command-line interface (CLI) for…

  • AI
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Ollama is a local runtime for large language models (LLMs) that provides an application programming interface (API) and command-line interface (CLI) for pulling, managing, and querying models on your own hardware, with graphics processing unit (GPU) acceleration for Nvidia and AMD systems, so homelabbers can run private, offline-capable model serving without cloud providers.

Platform availability

Available on 6 of 9 platforms

Health score?A 0-100 score computed nightly from four factors: maintained (40%: recent commits and steady activity), popular (25%: GitHub stars, log scale), easy to install (20%: platforms, install notes, setup guides, Docker image) and light to run (15%: minimum RAM, ARM support). When the source code has been checked, a fifth factor, security check (20%: automated scan for committed secrets, unsafe desktop-app settings, known-vulnerable dependencies and project hygiene; any serious finding caps it at 20), is added. Factors without data are left out and the rest are rescaled.

27/100 Low

Maintained
0GitHub repository no longer exists
Popular
No data
Easy to install
856 install platforms, install notes, Docker image
Light to run
208 GB minimum RAM, runs on ARM

Based on 3 of 4 factors.

Availability: platform listings confirmed today, links checked 17 days ago

No GitHub repository data collected yet.

Checked 17 days ago - source: GitHub (BigBearTechWorld/ollama-nvidia)

Resources & Compatibility

Minimum requirements: 8 GB RAM, 10 GB disk. ARM (e.g. Raspberry Pi) is supported.

Checked 17 days ago - source: Docker Hub image tags and published docs

First-install notes

  • Start Ollama with the CLI Use `ollama` to start the command-line interface (CLI), follow the setup prompts, and sign in only if you need cloud models. This sets up your Ollama session correctly, and skipping cloud sign-in will make cloud model requests fail. source

Fetched 17 days ago - each note links to its source

Alternatives (12)

  • Agora - Agora is a digital shopfront that allows you to sell files directly to others.
  • Alpaca - Ollama Client - Alpaca is an Ollama client where you can manage and chat with multiple models, Alpaca provides an easy and begginer friendly way of interac…
  • AnythingLLM - The all-in-one AI app for any LLM with full RAG and AI Agent capabilities.
  • Ensu - Private offline on-device local LLM app by Ente, open source code, no accounts or tracking, and works cross-platform on mobile and desktop…
  • Google AI Edge Gallery - A gallery that showcases on-device ML/GenAI use cases and allows people to try and use models locally.
  • Jan.ai - Open-source offline AI chat software supporting local LLMs, cloud model connections, custom assistant creation, OpenAI-compatible API, and…
  • LM Studio - LM Studio is an application for running and experimenting with local large language models (LLMs) such as gpt-oss, Llama, Gemma, Qwen, and…
  • LocalAI - LocalAI is a free, open-source, self-hosted AI engine that provides a drop-in, OpenAI-compatible API for running local models.
  • PocketPal - An app that brings language models directly to your phone.
  • Private GPT - Ask questions to your documents without an internet connection, using the power of LLMs.
  • lemonade-server - Lemonade helps users discover and run local AI apps by serving optimized LLMs right from their own GPUs and NPUs.
  • llama.cpp - Inference of Meta's LLaMA model (and others) in pure C/C++

Checked 14 days ago - source: AlternativeTo

Common questions

Do I need to sign in to use Ollama locally?

Sign in only if you need cloud models. Skipping the cloud sign-in will make cloud model requests fail.

Can Ollama accept multiple simultaneous connections?

Yes, it can be run as an HTTP server so several connections can be made at the same time. It also fits well with Open WebUI.

How do I check which `ollama launch` integrations my version supports?

Run `ollama launch --help` for the list on your version. The available coding integrations shift from release to release.

What common Ollama self-hosting problems should I investigate?

Check for GPU not detected, OOM model loads, slow tokens, missing models, and Ollama service failures.

Answers sourced from d-central.tech, github.com, insiderllm.com, www.reddit.com

Community

Collected 17 days ago - public community threads