117 lines
5 KiB
Markdown
117 lines
5 KiB
Markdown
# FAQ
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## How can I upgrade Ollama?
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To upgrade Ollama, run the installation process again. On the Mac, click the Ollama icon in the menubar and choose the restart option if an update is available.
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## How can I view the logs?
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Review the [Troubleshooting](./troubleshooting.md) docs for more about using logs.
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## How do I configure Ollama server?
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Ollama server can be configured with environment variables.
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### Setting environment variables on Mac
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If Ollama is run as a macOS application, environment variables should be set using `launchctl`:
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1. For each environment variable, call `launchctl setenv`.
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```bash
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launchctl setenv OLLAMA_HOST "0.0.0.0"
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```
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2. Restart Ollama application.
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### Setting environment variables on Linux
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If Ollama is run as a systemd service, environment variables should be set using `systemctl`:
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1. Edit the systemd service by calling `systemctl edit ollama.service`. This will open an editor.
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2. For each environment variable, add a line `Environment` under section `[Service]`:
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```ini
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[Service]
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Environment="OLLAMA_HOST=0.0.0.0"
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```
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3. Save and exit.
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4. Reload `systemd` and restart Ollama:
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```bash
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systemctl daemon-reload
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systemctl restart ollama
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```
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## How can I expose Ollama on my network?
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Ollama binds 127.0.0.1 port 11434 by default. Change the bind address with the `OLLAMA_HOST` environment variable.
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Refer to the section [above](#how-do-i-configure-ollama-server) for how to set environment variables on your platform.
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## How can I allow additional web origins to access Ollama?
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Ollama allows cross-origin requests from `127.0.0.1` and `0.0.0.0` by default. Additional origins can be configured with `OLLAMA_ORIGINS`.
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Refer to the section [above](#how-do-i-configure-ollama-server) for how to set environment variables on your platform.
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## Where are models stored?
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- macOS: `~/.ollama/models`.
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- Linux: `/usr/share/ollama/.ollama/models`
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### How do I set them to a different location?
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If a different directory needs to be used, set the environment variable `OLLAMA_MODELS` to the chosen directory.
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Refer to the section [above](#how-do-i-configure-ollama-server) for how to set environment variables on your platform.
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## Does Ollama send my prompts and answers back to Ollama.ai to use in any way?
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No, Ollama runs entirely locally, and conversation data will never leave your machine.
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## How can I use Ollama in Visual Studio Code?
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There is already a large collection of plugins available for VSCode as well as other editors that leverage Ollama. See the list of [extensions & plugins](https://github.com/jmorganca/ollama#extensions--plugins) at the bottom of the main repository readme.
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## How do I use Ollama behind a proxy?
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Ollama is compatible with proxy servers if `HTTP_PROXY` or `HTTPS_PROXY` are configured. When using either variables, ensure it is set where `ollama serve` can access the values. When using `HTTPS_PROXY`, ensure the proxy certificate is installed as a system certificate. Refer to the section above for how to use environment variables on your platform.
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### How do I use Ollama behind a proxy in Docker?
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The Ollama Docker container image can be configured to use a proxy by passing `-e HTTPS_PROXY=https://proxy.example.com` when starting the container.
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Alternatively, the Docker daemon can be configured to use a proxy. Instructions are available for Docker Desktop on [macOS](https://docs.docker.com/desktop/settings/mac/#proxies), [Windows](https://docs.docker.com/desktop/settings/windows/#proxies), and [Linux](https://docs.docker.com/desktop/settings/linux/#proxies), and Docker [daemon with systemd](https://docs.docker.com/config/daemon/systemd/#httphttps-proxy).
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Ensure the certificate is installed as a system certificate when using HTTPS. This may require a new Docker image when using a self-signed certificate.
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```dockerfile
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FROM ollama/ollama
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COPY my-ca.pem /usr/local/share/ca-certificates/my-ca.crt
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RUN update-ca-certificates
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```
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Build and run this image:
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```shell
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docker build -t ollama-with-ca .
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docker run -d -e HTTPS_PROXY=https://my.proxy.example.com -p 11434:11434 ollama-with-ca
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```
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## How do I use Ollama with GPU acceleration in Docker?
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The Ollama Docker container can be configured with GPU acceleration in Linux or Windows (with WSL2). This requires the [nvidia-container-toolkit](https://github.com/NVIDIA/nvidia-container-toolkit). See [ollama/ollama](https://hub.docker.com/r/ollama/ollama) for more details.
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GPU acceleration is not available for Docker Desktop in macOS due to the lack of GPU passthrough and emulation.
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## Why is networking slow in WSL2 on Windows 10?
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This can impact both installing Ollama, as well as downloading models.
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Open `Control Panel > Networking and Internet > View network status and tasks` and click on `Change adapter settings` on the left panel. Find the `vEthernel (WSL)` adapter, right click and select `Properties`.
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Click on `Configure` and open the `Advanced` tab. Search through each of the properties until you find `Large Send Offload Version 2 (IPv4)` and `Large Send Offload Version 2 (IPv6)`. *Disable* both of these
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properties.
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