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Docker Model Runner makes it easy to manage, run, and deploy AI models using Docker. Designed for developers, Docker Model Runner streamlines the process of pulling, running, and serving large language models (LLMs) and other AI models directly from Docker Hub or any OCI-compliant registry.
npx promptfoo@latest init --example docker
cd docker
For the simple example:
docker model pull ai/llama3.2:3B-Q4_K_M
For the advanced example:
docker model pull ai/llama3.2:3B-Q4_K_M
docker model pull ai/gemma3:4B-Q4_K_M
docker model pull ai/phi4:14B-Q4_K_M
docker model pull ai/deepseek-r1-distill-llama:8B-Q4_K_M
docker model pull ai/smollm3:Q4_K_M
docker model pull ai/mxbai-embed-large:335M-F16
Note: These six models together require ~20 GiB of disk storage.
promptfoo eval -c promptfooconfig.comparison.simple.yaml
promptfoo eval -c promptfooconfig.comparison.advanced.yaml
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Browsing data directories saved to S3 is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!
promptfoo is now integrated with AWS S3!
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Browsing data directories saved to Google Cloud Storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!
promptfoo is now integrated with Google Cloud Storage!
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Browsing data directories saved to Azure Cloud Storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!
promptfoo is now integrated with Azure Cloud Storage!
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Browsing data directories saved to S3 compatible storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!
promptfoo is now integrated with your S3 compatible storage!
Are you sure you want to delete this access key?