howtospark
benchmarks / qwen3-6-35b-a3b-heretic--dgx-spark-x1--vllm--nvfp4--p2048-o256-c1--2026-07-06
41.5tok/s
315msttft
6.5kprefill
vLLM 0.24.0NVFP4Jul 6, 2026

Run configuration

nodes
1
batch size
concurrency
1
context
10240
prompt / output
2041 / 256

Metrics

decode tok/s
41.5
prefill tok/s
6.5k
ttft
315ms
total tok/s
39.6
inter-token
24ms
e2e latency
6.46s
req/s
0.155
peak memory
67.5 GB
avg power
28.9 W
energy/req
186.8 J

Reproduce

PATH="$HOME/venvs/vllm/bin:$PATH" VLLM_USE_DEEP_GEMM=0 TORCHINDUCTOR_COMPILE_THREADS=2 MAX_JOBS=4 vllm serve ~/models/hf/Qwen3.6-35B-A3B-heretic-NVFP4 --served-model-name Qwen3.6-35B-A3B-heretic-NVFP4 --max-model-len 10240 --gpu-memory-utilization 0.5 --max-num-seqs 8 --limit-mm-per-prompt '{"image": 0, "video": 0}' --port 8000
python3 bench/harness.py bench/configs/qwen3-6-35b-a3b-heretic-nvfp4--vllm.json --rows-out data/benchmarks/qwen3-6-35b-a3b-heretic.json

Community NVFP4 quant (AEON-7) of an abliterated Qwen3.6-35B-A3B fine-tune. Same format/arch as the official NVIDIA NVFP4; community-vs-official recipe comparison.