vllm/docs/source/serving/serving_with_llamaindex.rst

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