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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
# limitations under the License.

# NOTE: FP4 only supported starting with Blackwell GPUs.
# https://huggingface.co/nvidia/DeepSeek-R1-FP4
# You can also specify the full path to locally downloaded weights
# instead of a HuggingFace ID here.

backend: pytorch
tensor_parallel_size: 4
moe_expert_parallel_size: 4
enable_attention_dp: false
max_batch_size: 256
# Note: When MPT is enabled and `cuda_graph_batch_sizes` is specified, `max_num_tokens` must satisfy the following formula:
# max_num_tokens >= max(cuda_graph_batch_sizes) * (num_nextn_predict_layers + 1)
# This is a known issue in TensorRT-LLM and will be resolved in the next release.
max_num_tokens: 512
# 8704 = 8192 ISL + 512 OSL
max_seq_len: 8704
kv_cache_config:
  free_gpu_memory_fraction: 0.85
  dtype: fp8

# Enable the MTP(Multi-Token Prediction) in decode model engine
speculative_config:
  decoding_type: MTP
  num_nextn_predict_layers: 1

cuda_graph_config:
  enable_padding: true
  batch_sizes:
  - 1
  - 2
  - 4
  - 8
  - 16
  - 32
  - 64
  - 128
  - 256

print_iter_log: true

cache_transceiver_config:
  backend: DEFAULT
