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backend: pytorch

# WideEP related settings
moe_config:
  backend: WIDEEP
  load_balancer: /mnt/engine_configs/deepseek_r1/wide_ep/eplb.yaml

# TP/EP/PP/DP
tensor_parallel_size: 16
moe_expert_parallel_size: 16
pipeline_parallel_size: 1
enable_attention_dp: true

max_batch_size: 1
max_num_tokens: 8192
max_seq_len: 8192

kv_cache_config:
  free_gpu_memory_fraction: 0.3
  dtype: fp8 # NOTE: This dtype must match in both prefill/decode configs

# NOTE: pytorch_backend_config section flattened since: https://github.com/NVIDIA/TensorRT-LLM/pull/4603
# NOTE: overlap_scheduler enabled by default since this commit and changed
# config field from 'enable_overlap_scheduler' to 'disable_overlap_scheduler':
# https://github.com/NVIDIA/TensorRT-LLM/commit/b4e5df0ee0024eda3eeb83a6ba822245a30ab428
disable_overlap_scheduler: true
print_iter_log: true

cache_transceiver_config:
  backend: default
