- Request throughput
- 7.27 req/s
- Output throughput
- 7.3 tok/s
- p95 TTFT
- 4399.0 ms
- p95 TPOT
- 0.00 ms
Manifest warnings
Review these published caveats before interpreting or comparing the metrics.
- Review imported facts against the local model, hardware, launch command, and benchmark command before publication.
Server launch command
CUDA_VISIBLE_DEVICES=0 vllm serve nvidia/Gemma-4-26B-A4B-NVFP4 \
--revision a19cfe00be84568a6867111c9a68c9c44fdcffe6 \
--port 9000 \
--host 127.0.0.1 \
--dtype bfloat16 \
--gpu-memory-utilization 0.92 \
--max-model-len 9216 \
--max-num-batched-tokens 16384 \
--max-num-seqs 64 \
--tensor-parallel-size 1 \
--pipeline-parallel-size 1 \
--kv-cache-dtype fp8 \
--distributed-executor-backend mp \
--no-enable-prefix-caching \
--enable-chunked-prefill \
--async-scheduling \
--no-enforce-eager \
--served-model-name nvidia/Gemma-4-26B-A4B-NVFP4 \
--disable-uvicorn-access-log \
--language-model-onlyRun details
- Workload
- 4096 → 1
- Methodology
- closed loop · streaming
- Test load
- 32 concurrent requests
- Endpoint
openai-compatible-completions- Requests
- 16 unmeasured warmups per invocation after one readiness request.
- Dataset
generator=runpile-sweeps-tokenizer-verified-jsonl synthetic=true shared_prefix_tokens=0- Sampling
mode=greedy temperature=0- Stopping
ignore_eos=true max_output_tokens=1- Prefix and cache
cache_state=warm-host cache_enabled=false shared_prefix_tokens=0- Client
name=vllm bench serve backend=vllm version=0.23.0+cu129 placement=same-host- Hardware
- 1× NVIDIA GeForce RTX 5090
- Runtime
- vllm 0.23.0+cu129
- Runtime configuration
dtype=bfloat16 max_num_seqs=64 enforce_eager=false max_model_len=9216 kv_cache_dtype=fp8 prefix_caching=false chunked_prefill=true expert_parallel=false async_scheduling=true gpu_memory_utilization=0.92 max_num_batched_tokens=16384- Measurement
- vllm bench serve 0.23.0+cu129
- Timing
- client-observed streaming request latency · client overhead included
- Repetitions
- 1
- Failure handling
- Failed requests counted; no client retries.
- Quantization
format=NVFP4 checkpoint=modelopt/compressed-tensors- Model revision
a19cfe00be84568a6867111c9a68c9c44fdcffe6- Evidence
- Raw benchmark evidence attached · eligible and ranked
- Published
- by anonymous-EVjB2S
Benchmark command
vllm bench serve \
--backend vllm \
--base-url http://127.0.0.1:9000 \
--endpoint /v1/completions \
--model nvidia/Gemma-4-26B-A4B-NVFP4 \
--tokenizer nvidia/Gemma-4-26B-A4B-NVFP4 \
--dataset-name custom \
--dataset-path <EXACT_SYNTHETIC_DATASET> \
--custom-output-len 1 \
--skip-chat-template \
--disable-shuffle \
--num-prompts 256 \
--max-concurrency 32 \
--request-rate inf \
--seed 0 \
--ignore-eos \
--temperature 0 \
--percentile-metrics ttft,tpot,itl,e2el \
--metric-percentiles 50,90,95,99 \
--disable-tqdm \
--save-result \
--result-dir <local-path> \
--result-filename gemma4-26b-a4b-nvfp4-tp1__baseline__serve-fixed-4k-1-categorization-v1__c32__r1__attempt1.json \
--num-warmups 16 \
--metadata campaign=runpile-rtx5090-param-sweeps-20260826-retry2 config_id=gemma4-26b-a4b-nvfp4-tp1 server_variant=baseline workload_key=serve-fixed-4k-1-categorization-v1 repetition=1 aggregate_only=true