Arao AI
Back to search results

Llama-3-8B-Instruct · Q2_K

Start a discussion
NVIDIA RTX 5070 Ti16GBvLLM v0.53L2 Cross-framework verified

This page aggregates 1 real-world runs of Llama-3-8B-Instruct (Q2_K) on NVIDIA RTX 5070 Ti with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

145.89 tok/s

Decode

Decode speed

573.9 tok/s

Prefill

Prefill speed

1.5 s

TTFT

Time to first token

11.34 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. vLLM · Q2_K (current)Decode 145.89 · Prefill 573.9 ·
  2. Strata · IQ3_S Decode 180.15 · Prefill 920.56 ·

Core figures

Decode (avg)
145.89 tok/s
Prefill (avg)
573.9 tok/s
TTFT (avg)
1.5 s
VRAM (avg)
11.34 GB
MTP acceptance rate
—
TTFB
1.17 GB
Power draw
270.8 W

Configuration

Member-level fields are taken from the most recent run

Model
Llama-3-8B-Instruct
Quantization
Q2_K
Framework
vLLM
Version
v0.53
Context length
2048 tokens
Batch size
8
GPU layers
999
Flash Attention
On

Hardware

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

GPU
NVIDIA RTX 5070 Ti
Nominal VRAM
16 GB
Measured VRAM (avg)
11.34 GB
OS
Windows 11 23H2
Driver
560.94
CUDA
13.0
Power draw
270.8 W

Sources & evidence

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

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-18

    v0.53 · Windows 11 23H2 · CUDA 13.0 · 2048 ctx

    145.89 tok/s

    Decode

    573.9 tok/s

    Prefill

    1.5 s

    TTFT

    11.34 GB

    VRAM

    —

    MTP

    270.8 W

    Power draw

    L2 batch seed 2026-10-18: vLLM on hw_id=17 running model_id=69 at Q2_K