mirror of
https://github.com/ollama/ollama.git
synced 2025-12-04 00:01:52 +01:00
6286d9a3a5
* docs: vulkan information
* Revert "CI: Set up temporary opt-out Vulkan support (#12614)"
This reverts commit 8b6e5baee7.
* vulkan: temporary opt-in for Vulkan support
Revert this once we're ready to enable by default.
* win: add vulkan CI build
92 lines
2.4 KiB
Plaintext
92 lines
2.4 KiB
Plaintext
## CPU only
|
|
|
|
```shell
|
|
docker run -d -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama
|
|
```
|
|
|
|
## Nvidia GPU
|
|
|
|
Install the [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html#installation).
|
|
|
|
### Install with Apt
|
|
|
|
1. Configure the repository
|
|
|
|
```shell
|
|
curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey \
|
|
| sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg
|
|
curl -fsSL https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list \
|
|
| sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' \
|
|
| sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
|
|
sudo apt-get update
|
|
```
|
|
|
|
2. Install the NVIDIA Container Toolkit packages
|
|
|
|
```shell
|
|
sudo apt-get install -y nvidia-container-toolkit
|
|
```
|
|
|
|
### Install with Yum or Dnf
|
|
|
|
1. Configure the repository
|
|
|
|
```shell
|
|
curl -fsSL https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo \
|
|
| sudo tee /etc/yum.repos.d/nvidia-container-toolkit.repo
|
|
```
|
|
|
|
2. Install the NVIDIA Container Toolkit packages
|
|
|
|
```shell
|
|
sudo yum install -y nvidia-container-toolkit
|
|
```
|
|
|
|
### Configure Docker to use Nvidia driver
|
|
|
|
```shell
|
|
sudo nvidia-ctk runtime configure --runtime=docker
|
|
sudo systemctl restart docker
|
|
```
|
|
|
|
### Start the container
|
|
|
|
```shell
|
|
docker run -d --gpus=all -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama
|
|
```
|
|
|
|
<Note>
|
|
If you're running on an NVIDIA JetPack system, Ollama can't automatically discover the correct JetPack version.
|
|
Pass the environment variable `JETSON_JETPACK=5` or `JETSON_JETPACK=6` to the container to select version 5 or 6.
|
|
</Note>
|
|
|
|
## AMD GPU
|
|
|
|
To run Ollama using Docker with AMD GPUs, use the `rocm` tag and the following command:
|
|
|
|
```shell
|
|
docker run -d --device /dev/kfd --device /dev/dri -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama:rocm
|
|
```
|
|
|
|
## Vulkan Support
|
|
|
|
Vulkan is bundled into the `ollama/ollama` image.
|
|
|
|
```shell
|
|
docker run -d --device /dev/kfd --device /dev/dri -v ollama:/root/.ollama -p 11434:11434 -e OLLAMA_VULKAN=1 --name ollama ollama/ollama
|
|
```
|
|
|
|
|
|
## Run model locally
|
|
|
|
Now you can run a model:
|
|
|
|
```shell
|
|
docker exec -it ollama ollama run llama3.2
|
|
```
|
|
|
|
## Try different models
|
|
|
|
More models can be found on the [Ollama library](https://ollama.com/library).
|
|
|