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Original file line number Diff line number Diff line change
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# SPEED-bench MTP speculative-decoding run for Qwen3.5-4B via vLLM.
#
# The qwen3_5 model_type needs transformers >= 4.58, which is NOT in
# vllm/vllm-openai:latest yet — use the qwen3_5-cu130 tag instead.
#
# Slurm run on cw_dfw:
# uv run slurm.py --yaml modules/Model-Optimizer/tools/launcher/examples/Qwen/Qwen3.5-4B/specdec_bench_mtp_vllm.yaml --yes

job_name: Qwen3.5-4B_specdec_bench_mtp_vllm

pipeline:
global_vars:
hf_model: /hf-local/Qwen/Qwen3.5-4B

# task_0: SPEED qualitative split
task_0:
script: common/specdec_bench/run.sh
args:
- --dataset speed
- --dataset_path /hf-local/nvidia/SPEED-Bench-Internal/qualitative
- --engine VLLM
- --speculative_algorithm MTP
- --draft_length 3
- --tp_size 1
- --ep_size 1
- --concurrency 32
- --output_length 4096
- --aa_timing
- --show_progress
- --save_dir /scratchspace/{sweep_name_default}/qualitative
environment:
- HF_MODEL_CKPT: <<global_vars.hf_model>>
- HF_LOCAL: /hf-local
slurm_config:
_factory_: "slurm_factory"
nodes: 1
ntasks_per_node: 1
gpus_per_node: 1
container: vllm/vllm-openai:qwen3_5-cu130

# task_1: SPEED throughput_32k split
task_1:
script: common/specdec_bench/run.sh
args:
- --dataset speed
- --dataset_path /hf-local/nvidia/SPEED-Bench-Internal/throughput_32k
- --engine VLLM
- --speculative_algorithm MTP
- --draft_length 3
- --tp_size 1
- --ep_size 1
- --concurrency 8
- --num_requests 80
- --runtime_params common/specdec_bench/runtime_params_throughput_32k.yaml
- --output_length 4096
- --aa_timing
- --show_progress
- --save_dir /scratchspace/{sweep_name_default}/throughput_32k
environment:
- HF_MODEL_CKPT: <<global_vars.hf_model>>
- HF_LOCAL: /hf-local
slurm_config:
_factory_: "slurm_factory"
nodes: 1
ntasks_per_node: 1
gpus_per_node: 1
container: vllm/vllm-openai:qwen3_5-cu130
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