# Copyright 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions # are met: # * Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above copyright # notice, this list of conditions and the following disclaimer in the # documentation and/or other materials provided with the distribution. # * Neither the name of NVIDIA CORPORATION nor the names of its # contributors may be used to endorse or promote products derived # from this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY # EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR # PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR # CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, # EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, # PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR # PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY # OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. # Note: You do not need to change any fields in this configuration. backend: "vllm" # Disabling batching in Triton, let vLLM handle the batching on its own. max_batch_size: 0 # We need to use decoupled transaction policy for saturating # vLLM engine for max throughtput. # TODO [DLIS:5233]: Allow asynchronous execution to lift this # restriction for cases there is exactly a single response to # a single request. model_transaction_policy { decoupled: True } # Note: The vLLM backend uses the following input and output names. # Any change here needs to also be made in model.py input [ { name: "text_input" data_type: TYPE_STRING dims: [ 1 ] }, { name: "stream" data_type: TYPE_BOOL dims: [ 1 ] }, { name: "sampling_parameters" data_type: TYPE_STRING dims: [ 1 ] optional: true } ] output [ { name: "text_output" data_type: TYPE_STRING dims: [ -1 ] } ] # The usage of device is deferred to the vLLM engine instance_group [ { count: 1 kind: KIND_MODEL } ]