Understand the project
Practical overview
When it fits
Use Ollama when local or self-hosted model execution is central to the project, including development, experimentation, containerized serving, and application integration.
Who it is for
- Developers building applications with open language models
- Teams exploring self-hosted assistants for document or code workflows
- Users testing different models locally or in containers
- Engineers adding a language-model service to an application backend
Documented uses
- Run open language models on a local computer
- Serve models through a containerized environment
- Build a local chat application
- Prototype assistants for private document or code workflows
- Test and switch among supported model families
Before you choose
Requirements & limits
The project is available as a public repository. Its source code is licensed under MIT.
- Whether the required model is among the documented ecosystems, including DeepSeek, Gemma, GLM, GPT-OSS, Llama, MiniMax, or Qwen
- Whether the project should run locally or through Docker
- Whether an API is needed for application integration
- Whether an MIT-licensed, public open-source project fits the implementation
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Evidence and transparency
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 30 September 2026
- Original website title
- ollama/ollama · Official homepage title · retained in its source language