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llm.inference.chatbot-short /
019e3b39-5d04-7afb-a506-fe3140835575
Qwen/Qwen2.5-7B-Instruct
vllm 0.21.0 on 8x NVIDIA H100 80GB HBM3
(fp16) · seed 42 · run 019e3b39-5d04-7afb-a506-fe3140835575
· signed
Headline metrics
TTFT P50 (ms)
26.84
TTFT P99 (ms)
52.98
Throughput (tok/s)
541
$/M tokens
—
J/token
1.65
Power avg (W)
909
Power peak (W)
948
WER mean
—
J / audio s
—
All metrics
compliance_rate
0.9896
energy_joules_total
18,543
joules_per_token
1.65
ok_rate
1.00
power_avg_w
909
power_peak_w
948
req_per_s_all
4.63
req_per_s_passing
4.58
slo_hardware_class
h100
slo_template_resolved
ttft<200ms, tpot<50ms, total<3000ms
throughput_tok_per_s
541
total_p50_ms
822
total_p99_ms
929
tpot_p50_ms
6.27
tpot_p99_ms
6.50
ttft_p50_ms
26.84
ttft_p99_ms
52.98
Provenance
Model revision unknown00
Provider vllm
Hardware fingerprint 550474fc9132129654f5d20c316eaffec99a1f67c0cc0b4641e60efb46ea79e7
Dataset builtin-chatbot-short · 6f4b1f68fc3a813baa983cbe70cd9ef57f8c86e6b2e6ccc9aaa2a498e588d510
Timestamp 2026-05-18T13:14:35.652372+00:00
Envelope JSON 43a8c771ef48.json
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