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Speed test matrix

Fara1.5-27B-AWQ-W4A16 on RTX 3090 24GB

vllm · 0.32.0 · AWQ W4A165 contexts (0–120K) × 8 concurrency levels (1–128) · prefill at 8K, 16K, 32K, 64K, 120K
by @Sandbergllm-inference-bench v0.8.0Measured

Hardware

Type
Discrete GPU
GPU
RTX 3090
VRAM
24 GB
CPU
Intel Core i7-9700K (8C)
RAM
32 GB
OS
Ubuntu 24.04.5

Engine

Engine
vllm
Version
0.32.0
Quantization
AWQ W4A16
Backend
cuda
Build
vllm/vllm-openai:v0.32.0-x86_64

Run

Served model
bench
Revision
main
Decode test
Fixed duration
Prefill mode
Measured during decode warm-up
Time per measurement
30 s
Max output
8,192 tokens

Launch command

# Untuned out-of-the-box baseline. Spec decode: none. KV cache: int4_per_token_head
# 1x RTX 3090 24GB (Zagitta/gpu-unlock), 420 W limit, PCIe Gen3 x16 | Intel Core i7-9700K 8C | 32 GB DDR4 | Ubuntu 24.04.5, NVIDIA driver 580.178.04
vllm serve Sohailhosseini/Fara1.5-27B-AWQ-W4A16 --max-model-len 131072 --gpu-memory-utilization 0.94 --max-num-seqs 52 --enable-prefix-caching --trust-remote-code --language-model-only --kv-cache-dtype int4_per_token_head --attention-backend TRITON_ATTN --max-cudagraph-capture-size 16

Prefill

prompt tok/s by context length
8K context1,8084,531 ms TTFT
16K context1,49810,830 ms TTFT
32K context1,14128,313 ms TTFT
64K context771.083,578 ms TTFT
120K context493.0244,578 ms TTFT

Sustained decode

total tok/s · rows are context length, columns are simultaneous requests
Context1248163264128
046.498 ms TTFT86.1101 ms TTFT166.0228 ms TTFT319.8390 ms TTFT366.7Requests queued578 ms TTFTOver capacityOver capacityOver capacity
16K41.2933 ms TTFTLooped131.32,314 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacity
32K37.12,555 ms TTFT64.53,735 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity
64K30.91,465 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity
120K18.2Requests queued7,844 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity

Requests queued: the server could not run all requests at once, so some waited in a queue. Looped: the model kept repeating the same text, so the benchmark discarded this measurement. Over capacity: not run because this many requests at this context would exceed the server's KV cache.

TTFT is measured after the benchmark warms the server's prompt cache, so it mostly excludes prefill.

All measurements

Latencies are medians. Total tok/s is output across all simultaneous requests.
PhaseContextRequests at onceStatusTotal tok/sPer request tok/sTTFTTime between tokensAverage active requestsCompleted requestsOutput tokensMeasured for
Prefill8K1Valid1,808.0—4,531 ms——1——
Prefill16K1Valid1,498.0—10,830 ms——1——
Prefill32K1Valid1,141.0—28,313 ms——1——
Prefill64K1Valid771.0—83,578 ms——1——
Prefill120K1Valid493.0—244,578 ms——1——
Sustained decode01Valid46.446.498 ms21.6 ms1.001,39030.0 s
Sustained decode02Valid86.143.1101 ms23.2 ms2.002,58130.0 s
Sustained decode04Valid166.041.6228 ms24.1 ms4.004,97630.0 s
Sustained decode08Valid319.840.1390 ms24.9 ms8.009,59330.0 s
Sustained decode016Requests queued366.732.9578 ms30.4 ms12.1010,92629.8 s
Sustained decode032Over capacity————————
Sustained decode064Over capacity————————
Sustained decode0128Over capacity————————
Sustained decode16K1Valid41.241.2933 ms24.3 ms1.001,23530.0 s
Sustained decode16K2Looped—————00—
Sustained decode16K4Valid131.331.62,314 ms31.6 ms4.003,93630.0 s
Sustained decode16K8Over capacity————————
Sustained decode16K16Over capacity————————
Sustained decode16K32Over capacity————————
Sustained decode16K64Over capacity————————
Sustained decode16K128Over capacity————————
Sustained decode32K1Valid37.137.12,555 ms27.0 ms1.001,11230.0 s
Sustained decode32K2Valid64.531.23,735 ms32.1 ms2.001,93230.0 s
Sustained decode32K4Over capacity————————
Sustained decode32K8Over capacity————————
Sustained decode32K16Over capacity————————
Sustained decode32K32Over capacity————————
Sustained decode32K64Over capacity————————
Sustained decode32K128Over capacity————————
Sustained decode64K1Valid30.931.01,465 ms32.3 ms1.0092830.0 s
Sustained decode64K2Over capacity————————
Sustained decode64K4Over capacity————————
Sustained decode64K8Over capacity————————
Sustained decode64K16Over capacity————————
Sustained decode64K32Over capacity————————
Sustained decode64K64Over capacity————————
Sustained decode64K128Over capacity————————
Sustained decode120K1Requests queued18.224.07,844 ms41.6 ms0.7054530.0 s
Sustained decode120K2Over capacity————————
Sustained decode120K4Over capacity————————
Sustained decode120K8Over capacity————————
Sustained decode120K16Over capacity————————
Sustained decode120K32Over capacity————————
Sustained decode120K64Over capacity————————
Sustained decode120K128Over capacity————————

Requests queued: the server could not run all requests at once, so some waited in a queue. Looped: the model kept repeating the same text, so the benchmark discarded this measurement. Over capacity: not run because this many requests at this context would exceed the server's KV cache.