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Llama-3.1-8B-Instruct · IQ1_S

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NVIDIA RTX 507012GBvLLM v0.23L2 Cross-framework verified

This page aggregates 1 real-world runs of Llama-3.1-8B-Instruct (IQ1_S) on NVIDIA RTX 5070 with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

135.82 tok/s

Decode

Decode speed

714.11 tok/s

Prefill

Prefill speed

0.51 s

TTFT

Time to first token

9.16 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. vLLM · IQ1_S (current)Decode 135.82 · Prefill 714.11 ·
  2. llama.cpp · Q8_0 Decode 60.9 · Prefill 456.8 ·
  3. llama.cpp · Q5_K_M Decode 88.8 · Prefill 666 ·
  4. llama.cpp · Q4_K_M Decode 107 · Prefill 802.5 ·

Core figures

Decode (avg)
135.82 tok/s
Prefill (avg)
714.11 tok/s
TTFT (avg)
0.51 s
VRAM (avg)
9.16 GB
MTP acceptance rate
—
TTFB
1.09 GB
Power draw
258.3 W

Configuration

Member-level fields are taken from the most recent run

Model
Llama-3.1-8B-Instruct
Quantization
IQ1_S
Framework
vLLM
Version
v0.23
Context length
4096 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
Nominal VRAM
12 GB
Measured VRAM (avg)
9.16 GB
OS
Ubuntu 24.04
Driver
572.83
CUDA
13.0
Power draw
258.3 W

Sources & evidence

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

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

    v0.23 · Ubuntu 24.04 · CUDA 13.0 · 4096 ctx

    135.82 tok/s

    Decode

    714.11 tok/s

    Prefill

    0.51 s

    TTFT

    9.16 GB

    VRAM

    —

    MTP

    258.3 W

    Power draw

    L2 batch seed 2026-10-18: vLLM on hw_id=18 running model_id=68 at IQ1_S