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1 change: 1 addition & 0 deletions tests/integration/defs/perf/_model_paths.py
Original file line number Diff line number Diff line change
Expand Up @@ -44,6 +44,7 @@
"gemma_3_12b_it": "gemma/gemma-3-12b-it",
"gemma_3_12b_it_fp8": "gemma/gemma-3-12b-it-fp8",
"gemma_3_12b_it_fp4": "gemma/gemma-3-12b-it-fp4",
"gemma_3_1b_it": "gemma/gemma-3-1b-it",
"deepseek_r1_fp8": "DeepSeek-R1/DeepSeek-R1",
"deepseek_r1_nvfp4": "DeepSeek-R1/DeepSeek-R1-FP4",
"deepseek_r1_0528_fp8": "DeepSeek-R1/DeepSeek-R1-0528/",
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Original file line number Diff line number Diff line change
@@ -0,0 +1,103 @@
# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# 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.

metadata:
model_name: gemma_3_1b_it
precision: bf16
model_dir_name: gemma-3-1b-it
supported_gpus:
- GB200
script_file: disaggr_torch.slurm
benchmark_type: 1k1k
slurm:
script_file: disaggr_torch.slurm
partition: <partition>
account: <account>
job_time: 02:00:00
job_name: unified-benchmark
extra_args: --gres=gpu:4
numa_bind: true
benchmark:
mode: e2e
use_nv_sa_benchmark: false
multi_round: 10
benchmark_ratio: 0.0
streaming: true
concurrency_list: '256'
input_length: 1024
output_length: 1024
dataset_file: <dataset_file>
hardware:
gpus_per_node: 4
num_ctx_servers: 1
num_gen_servers: 1
environment:
container_mount: <container_mount>
container_image: <container_image>
model_path: <model_path>
trtllm_repo: ''
build_wheel: false
work_dir: <full_path_to_work_dir>
worker_env_var: TLLM_LOG_LEVEL=INFO TRTLLM_SERVER_DISABLE_GC=1 TRTLLM_WORKER_DISABLE_GC=1 ENROOT_ALLOW_DEV=yes
server_env_var: TRTLLM_SERVER_DISABLE_GC=1
profiling:
nsys_on: false
worker_config:
gen:
print_iter_log: true
max_batch_size: 256
max_num_tokens: 512
tensor_parallel_size: 1
moe_expert_parallel_size: 1
pipeline_parallel_size: 1
context_parallel_size: 1
enable_attention_dp: false
cuda_graph_config:
enable_padding: true
max_batch_size: 256
kv_cache_config:
use_kv_cache_manager_v2: false
enable_block_reuse: false
free_gpu_memory_fraction: 0.85
dtype: auto
max_attention_window: [512, 512, 512, 512, 512, 32768]
cache_transceiver_config:
max_tokens_in_buffer: 4096
backend: NIXL
transceiver_runtime: PYTHON
disable_overlap_scheduler: false
num_postprocess_workers: 4
stream_interval: 20
ctx:
print_iter_log: true
max_batch_size: 32
max_num_tokens: 8192
tensor_parallel_size: 1
moe_expert_parallel_size: 1
pipeline_parallel_size: 1
context_parallel_size: 1
enable_attention_dp: false
cuda_graph_config: null
kv_cache_config:
use_kv_cache_manager_v2: false
enable_block_reuse: false
free_gpu_memory_fraction: 0.85
dtype: auto
max_attention_window: [512, 512, 512, 512, 512, 32768]
cache_transceiver_config:
max_tokens_in_buffer: 4096
backend: NIXL
transceiver_runtime: PYTHON
disable_overlap_scheduler: true
Original file line number Diff line number Diff line change
@@ -0,0 +1,101 @@
# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# 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.

metadata:
model_name: llama_v3.1_8b_instruct
precision: bf16
model_dir_name: Llama-3.1-8B-Instruct
supported_gpus:
- GB200
script_file: disaggr_torch.slurm
benchmark_type: 1k1k
slurm:
script_file: disaggr_torch.slurm
partition: <partition>
account: <account>
job_time: 02:00:00
job_name: unified-benchmark
extra_args: --gres=gpu:4
numa_bind: true
benchmark:
mode: e2e
use_nv_sa_benchmark: false
multi_round: 10
benchmark_ratio: 0.0
streaming: true
concurrency_list: '256'
input_length: 1024
output_length: 1024
dataset_file: <dataset_file>
hardware:
gpus_per_node: 4
num_ctx_servers: 1
num_gen_servers: 1
environment:
container_mount: <container_mount>
container_image: <container_image>
model_path: <model_path>
trtllm_repo: ''
build_wheel: false
work_dir: <full_path_to_work_dir>
worker_env_var: TLLM_LOG_LEVEL=INFO TRTLLM_SERVER_DISABLE_GC=1 TRTLLM_WORKER_DISABLE_GC=1 ENROOT_ALLOW_DEV=yes
server_env_var: TRTLLM_SERVER_DISABLE_GC=1
profiling:
nsys_on: false
worker_config:
gen:
print_iter_log: true
max_batch_size: 256
max_num_tokens: 512
tensor_parallel_size: 1
moe_expert_parallel_size: 1
pipeline_parallel_size: 1
context_parallel_size: 1
enable_attention_dp: false
cuda_graph_config:
enable_padding: true
max_batch_size: 256
kv_cache_config:
use_kv_cache_manager_v2: false
enable_block_reuse: false
free_gpu_memory_fraction: 0.85
dtype: auto
cache_transceiver_config:
max_tokens_in_buffer: 4096
backend: NIXL
transceiver_runtime: PYTHON
disable_overlap_scheduler: false
num_postprocess_workers: 4
stream_interval: 20
ctx:
print_iter_log: true
max_batch_size: 32
max_num_tokens: 8192
tensor_parallel_size: 1
moe_expert_parallel_size: 1
pipeline_parallel_size: 1
context_parallel_size: 1
enable_attention_dp: false
cuda_graph_config: null
kv_cache_config:
use_kv_cache_manager_v2: false
enable_block_reuse: false
free_gpu_memory_fraction: 0.85
dtype: auto
cache_transceiver_config:
max_tokens_in_buffer: 4096
backend: NIXL
transceiver_runtime: PYTHON
disable_overlap_scheduler: true
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