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Ollama

Open-source tool for downloading and running open AI models on your own computer

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In our rankings

Scores on the apps for running ai models locally criteria

Evaluated Nov 5, 2026
  • Model formats and downloads ×3 4

    4/5 means: Two or more model formats (GGUF plus MLX or Safetensors), with in-app downloads

    Runs GGUF models and imports Safetensors weights, and downloads models from its own library; searching Hugging Face inside the app is not documented.

    3 quotes
  • GPU support ×3 5

    5/5 means: NVIDIA, AMD, Apple Silicon and Intel GPUs (for example through Vulkan), and a documented processor-only mode

    NVIDIA, AMD through ROCm, Apple through Metal, other GPUs including Intel through Vulkan, and a documented way to force CPU use.

    6 quotes
  • Local API for other apps ×2 5

    5/5 means: As 4, plus a second API (its own REST API or an Anthropic-compatible one) and official client libraries

    OpenAI-compatible chat and embeddings endpoints, a configurable network address, its own REST API, and official Python and JavaScript libraries.

    5 quotes
  • Release recency ×2 5

    5/5 means: Latest release less than 1 month old

    The latest GitHub release, v0.40.15, was published on 3 November 2026.

    1 quote

Evidence (23 quotes)

  1. 1
    “Importing a model from Safetensors weights”
    docs.ollama.com/import · checked
  2. 2
    “To import a single-file GGUF model, create a Modelfile containing:”
    docs.ollama.com/import · checked
  3. 3
    “See ollama.com/library for the full list.”
    github.com/ollama/ollama · checked
  4. 4
    “Ollama supports Nvidia GPUs with compute capability 5.0+ and driver version 550 and newer.”
    docs.ollama.com/gpu · checked
  5. 5
    “Ollama supports the following AMD GPUs via the ROCm library:”
    docs.ollama.com/gpu · checked
  6. 6
    “Ollama supports GPU acceleration on Apple devices via the Metal API.”
    docs.ollama.com/gpu · checked
  7. 7
    “On Windows most GPU vendors drivers come bundled with Vulkan support and require no additional setup steps.”
    docs.ollama.com/gpu · checked
  8. 8
    “Linux Intel GPU Instructions”
    docs.ollama.com/gpu · checked
  9. 9
    “If you want to ignore the GPUs and force CPU usage, use an invalid GPU ID”
    docs.ollama.com/gpu · checked
  10. 10
    “Connect OpenAI clients to Ollama.”
    docs.ollama.com/api/openai-compatibility · checked
  11. 11
    “/v1/embeddings”
    docs.ollama.com/api/openai-compatibility · checked
  12. 12
    “Ollama binds 127.0.0.1 port 11434 by default. Change the bind address with the OLLAMA_HOST environment variable.”
    docs.ollama.com/faq · checked
  13. 13
    “Ollama has a REST API for running and managing models.”
    github.com/ollama/ollama · checked
  14. 14
    “pip install ollama”
    github.com/ollama/ollama · checked
  15. 15
    “Ollama runs locally. We don’t see your prompts or data when you run locally.”
    docs.ollama.com/faq · checked
  16. 16
    “Ollama can run in local only mode by disabling Ollama’s cloud features.”
    docs.ollama.com/faq · checked
  17. 17
    “Apple M series (CPU and GPU support) or x86 (CPU only)”
    docs.ollama.com/macos · checked
  18. 18
    “Ollama runs as a native Windows application, including NVIDIA and AMD Radeon GPU support.”
    docs.ollama.com/windows · checked
  19. 19
    “Start building with open models. Access the latest releases locally or in the cloud with complete privacy.”
    github.com/ollama/ollama · checked
  20. 20
    “tag_name: v0.40.15, published_at: 2026-11-03T22:52:31Z”
    api.github.com/repos/ollama/ollama/releases/latest · checked
  21. 21
    “Run and chat with Gemma 4: ollama run gemma4”
    github.com/ollama/ollama · checked
  22. 22
    “You'll be prompted to run a model or connect Ollama to your existing agents or applications”
    github.com/ollama/ollama · checked
  23. 23
    “Supported integrations include Claude Code, Codex, Copilot CLI, DeepSeek Harness, Droid, and OpenCode.”
    github.com/ollama/ollama · checked

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