A high-throughput and memory-efficient inference and serving engine for LLMs
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Signed-off-by: Rakesh Asapanna <45640029+rozeappletree@users.noreply.github.com>
Rakesh Asapanna committed
Sep 13, 2025 at 12:45 UTC
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vLLM's examples are split into three categories:
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-- If you are using vLLM from within Python code, see [Offline Inference](./offline_inference)
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-- If you are using vLLM from an HTTP application or client, see [Online Serving](./online_serving)
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-- For examples of using some of vLLM's advanced features (e.g. LMCache or Tensorizer) which are not specific to either of the above use cases, see [Others](./others)
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+- If you are using vLLM from within Python code, see the *Offline Inference* section.
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+- If you are using vLLM from an HTTP application or client, see the *Online Serving* section.
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+- For examples of using some of vLLM's advanced features (e.g. LMCache or Tensorizer) which are not specific to either of the above use cases, see the *Others* section.