sinanozel/ollama.0.15.2
sinanozel
Model servers based on Ollama with pre-downloaded models, allowing version freeze and quick startup.
下载次数: 0状态：社区镜像维护者：sinanozel仓库类型：镜像最近更新：5 个月前
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https://xuanyuan.cloud/agents.md
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The containers are ollama servers with LLM models. The model is already downloaded. This is useful for freezing the model version. In addition, the server will start quickly, instead of downloading the model. The model is also set as is read-only, which improves security. Finally, the images are properly tagged with memory requirements, which may help in some situations.
Please note, while the repo that generates these containers is my work and licensed under MIT license, the models all have their own license. The license of the model as of the time of the containerization is in the container labels.
All containers are created through an automated pipeline that inspects to see that the model is actually present, so there is a reasonable level of testing, given that this is a free project.
The host machine requirements: 🐳 docker, nvidia-container-runtime, CUDA 12 or later drivers, NVidia GPU and driver. (All installable through apt on Ubuntu.) See the repo https://github.com/sinan-ozel/model-servers/ for more details.
There is also a quick script inside most (not all) of the images to monitor GPU usage. This script runs in the background and writes to a file the GPU usage every minute. This is not very robust - I may update this to be a service in the future, with timestamping.
The images are labelled with the memory requirements, using the opencontainers standard (See org.opencontainers.image.memory.min and org.opencontainers.image.memory.recommended) This makes it easy to know the requirements when deploying with Kubernetes or build Helm charts.
See .vscode/tasks.json at https://github.com/sinan-ozel/model-servers to see the pipeline for creating these images. You can also clone the GitHub repo and upload to your internal AWS Container Registry.
镜像拉取方式
您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本，请访问 标签列表页面。
轩辕镜像加速拉取命令点我查看更多 ollama.0.15.2 镜像标签
docker pull docker.xuanyuan.run/sinanozel/ollama.0.15.2:<标签>
DockerHub 原生拉取命令
docker pull sinanozel/ollama.0.15.2:<标签>
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oldzhang
运维工程师
Linux服务器
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"Docker访问体验非常流畅，大镜像也能快速完成下载。"