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Llama-3.2-3B-Instruct · FP16

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NVIDIA RTX 309024GBvLLM v0.26L2 Cross-framework verified

This page aggregates 1 real-world runs of Llama-3.2-3B-Instruct (FP16) on NVIDIA RTX 3090 with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

113.95 tok/s

Decode

Decode speed

381.37 tok/s

Prefill

Prefill speed

1.4 s

TTFT

Time to first token

13.76 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

16 days ago

Last verified

Performance

  1. llama.cpp · Q2_K Decode 287.44 · Prefill 1386.85 ·
  2. vLLM · FP16 (current)Decode 113.95 · Prefill 381.37 ·
  3. vLLM · Q3_K_M Decode 250.47 · Prefill 1151.95 ·
  4. Strata · FP16 Decode 145.3 · Prefill 693.51 ·
  5. llama.cpp · Q8_0 Decode 228.2 · Prefill 1711.5 ·
  6. llama.cpp · Q5_K_M Decode 331.9 · Prefill 2489.3 ·
  7. llama.cpp · Q4_K_M Decode 405.6 · Prefill 3042 ·

Core figures

Decode (avg)
113.95 tok/s
Prefill (avg)
381.37 tok/s
TTFT (avg)
1.4 s
VRAM (avg)
13.76 GB
MTP acceptance rate
—
TTFB
0.91 GB
Power draw
288.3 W

Configuration

Member-level fields are taken from the most recent run

Model
Llama-3.2-3B-Instruct
Quantization
FP16
Framework
vLLM
Version
v0.26
Context length
32768 tokens
Batch size
8
GPU layers
999
Flash Attention
Off

Hardware

Nominal and measured figures are shown side by side; whether it runs is the reader's call

GPU
NVIDIA RTX 3090
Nominal VRAM
24 GB
Measured VRAM (avg)
13.76 GB
OS
Windows 11 24H2
Driver
565.57
CUDA
12.8
Power draw
288.3 W

Sources & evidence

1 measured records in total, each traceable to its original source

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-19

    v0.26 · Windows 11 24H2 · CUDA 12.8 · 32768 ctx

    113.95 tok/s

    Decode

    381.37 tok/s

    Prefill

    1.4 s

    TTFT

    13.76 GB

    VRAM

    —

    MTP

    288.3 W

    Power draw

    L2 batch seed 2026-10-19: vLLM on hw_id=2 running model_id=70 at FP16