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vllm-v0.6.2/docs/source/serving/serving_with_llamaindex.rst
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vllm-v0.6.2/docs/source/serving/serving_with_llamaindex.rst
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.. _run_on_llamaindex:
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Serving with llama_index
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============================
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vLLM is also available via `llama_index <https://github.com/run-llama/llama_index>`_ .
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To install llamaindex, run
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.. code-block:: console
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$ pip install llama-index-llms-vllm -q
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To run inference on a single or multiple GPUs, use ``Vllm`` class from ``llamaindex``.
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.. code-block:: python
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from llama_index.llms.vllm import Vllm
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llm = Vllm(
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model="microsoft/Orca-2-7b",
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tensor_parallel_size=4,
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max_new_tokens=100,
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vllm_kwargs={"swap_space": 1, "gpu_memory_utilization": 0.5},
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)
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Please refer to this `Tutorial <https://docs.llamaindex.ai/en/latest/examples/llm/vllm/>`_ for more details.
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