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Speed test matrix

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

vllm · 0.32.0 · AWQ W4A164 contexts (0–56K) × 8 concurrency levels (1–128) · prefill at 8K, 16K, 32K, 56K
by @Sandbergllm-inference-bench v0.8.0Measured

Hardware

Type
Discrete GPU
GPU
RTX 3090
VRAM
24 GB
CPU
AMD Ryzen 9 7900X (12C)
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: fp8
# 1x RTX 3090 24GB (Zagitta/gpu-unlock), 350 W limit (VBIOS max), PCIe Gen4 x16 | AMD Ryzen 9 7900X 12C | 32 GB DDR5 | Ubuntu 24.04.5, NVIDIA driver 595.99.02
vllm serve Sohailhosseini/Fara1.5-27B-AWQ-W4A16 --max-model-len 65536 --gpu-memory-utilization 0.94 --max-num-seqs 51 --enable-prefix-caching --trust-remote-code --language-model-only --kv-cache-dtype fp8 --max-cudagraph-capture-size 16

Prefill

prompt tok/s by context length
8K context1,8494,430 ms TTFT
16K context1,7909,064 ms TTFT
32K context1,64619,614 ms TTFT
56K context1,47438,260 ms TTFT

Sustained decode

total tok/s · rows are context length, columns are simultaneous requests
Context1248163264128
046.970 ms TTFT87.1127 ms TTFT167.9209 ms TTFT326.6384 ms TTFTOver capacityOver capacityOver capacityOver capacity
16KLooped83.6546 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity
32K44.2696 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity
56KLoopedOver capacityOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity

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
Prefill8K1Valid1,849.0—4,430 ms——1——
Prefill16K1Valid1,790.0—9,064 ms——1——
Prefill32K1Valid1,646.0—19,614 ms——1——
Prefill56K1Valid1,474.0—38,260 ms——1——
Sustained decode01Valid46.946.970 ms21.3 ms1.001,40630.0 s
Sustained decode02Valid87.143.6127 ms22.9 ms2.002,61230.0 s
Sustained decode04Valid167.942.0209 ms23.8 ms4.005,03630.0 s
Sustained decode08Valid326.640.9384 ms24.4 ms8.009,79230.0 s
Sustained decode016Over capacity————————
Sustained decode032Over capacity————————
Sustained decode064Over capacity————————
Sustained decode0128Over capacity————————
Sustained decode16K1Looped—————00—
Sustained decode16K2Valid83.641.6546 ms24.0 ms2.002,50830.0 s
Sustained decode16K4Over capacity————————
Sustained decode16K8Over capacity————————
Sustained decode16K16Over capacity————————
Sustained decode16K32Over capacity————————
Sustained decode16K64Over capacity————————
Sustained decode16K128Over capacity————————
Sustained decode32K1Valid44.244.2696 ms22.6 ms1.001,32430.0 s
Sustained decode32K2Over capacity————————
Sustained decode32K4Over capacity————————
Sustained decode32K8Over capacity————————
Sustained decode32K16Over capacity————————
Sustained decode32K32Over capacity————————
Sustained decode32K64Over capacity————————
Sustained decode32K128Over capacity————————
Sustained decode56K1Looped—————00—
Sustained decode56K2Over capacity————————
Sustained decode56K4Over capacity————————
Sustained decode56K8Over capacity————————
Sustained decode56K16Over capacity————————
Sustained decode56K32Over capacity————————
Sustained decode56K64Over capacity————————
Sustained decode56K128Over capacity————————

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.