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Currently, Docker Model Runner doesn't include safeguards to prevent you from
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launching models that exceed your system's available resources. Attempting to
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run a model that is too large for the host machine may result in severe
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slowdowns or may render the system temporarily unusable. This issue is
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particularly common when running LLMs without sufficient GPU memory or system
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RAM.
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### No consistent digest support in Model CLI
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The Docker Model CLI currently lacks consistent support for specifying models by image digest. As a temporary workaround, you should refer to models by name instead of digest.
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