router_based_deployment.yaml

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Frontend:
  model: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
  endpoint: dynamo-init.Processor.chat/completions
  port: 8000

Processor:
  model: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
  block-size: 64
  max-model-len: 16384
  router: kv

Router:
  model-name: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
  min-workers: 1

VllmWorker:
  model: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
  enforce-eager: true
  kv-transfer-config: '{"kv_connector":"DynamoNixlConnector"}'
  block-size: 64
  max-model-len: 16384
  max-num-batched-tokens: 16384
  conditional-disagg: true
  tensor-parallel-size: 1
  router: kv
  enable-prefix-caching: true

# TODO - set all of these but model as default
PrefillWorker:
  model: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
  enforce-eager: true
  kv-transfer-config: '{"kv_connector":"DynamoNixlConnector"}'
  block-size: 64
  max-model-len: 16384
  max-num-batched-tokens: 16384
  cuda-visible-device-offset: 1