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# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
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# This configuration file is used in the multinode-examples.md file
# to start the 405B model on 3 nodes.

Frontend:
  served_model_name: nvidia/Llama-3.1-405B-Instruct-FP8
  endpoint: dynamo.Processor.chat/completions
  port: 8000

Processor:
  model: nvidia/Llama-3.1-405B-Instruct-FP8
  block-size: 64
  max-model-len: 8192
  router: kv

Router:
  model: nvidia/Llama-3.1-405B-Instruct-FP8
  min-workers: 1

VllmWorker:
  model: nvidia/Llama-3.1-405B-Instruct-FP8
  kv-transfer-config: '{"kv_connector":"DynamoNixlConnector"}'
  block-size: 64
  max-model-len: 8192
  max-num-seqs: 16
  remote-prefill: true
  conditional-disagg: true
  max-local-prefill-length: 10
  max-prefill-queue-size: 2
  gpu-memory-utilization: 0.95
  tensor-parallel-size: 8
  router: kv
  quantization: modelopt
  enable-prefix-caching: true
  ServiceArgs:
    workers: 1
    resources:
      gpu: 8

PrefillWorker:
  model: nvidia/Llama-3.1-405B-Instruct-FP8
  kv-transfer-config: '{"kv_connector":"DynamoNixlConnector"}'
  block-size: 64
  max-model-len: 8192
  max-num-seqs: 16
  gpu-memory-utilization: 0.95
  tensor-parallel-size: 8
  quantization: modelopt
  ServiceArgs:
    workers: 1
    resources:
      gpu: 8