Back to search results

Llama 5 405B · IQ2_XS

Start a discussion
2x NVIDIA RTX 509064GBvLLM 0.7.3L0 Self-reported

This page aggregates 1 real-world runs of Llama 5 405B (IQ2_XS) on 2x NVIDIA RTX 5090 with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

— tok/s

Decode

Decode speed

— tok/s

Prefill

Prefill speed

— s

TTFT

Time to first token

64 GB

VRAM

VRAM usage

L0 Self-reported

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

No published records for this metric under the same model + hardware yet

Core figures

Decode (avg)
— tok/s
Prefill (avg)
— tok/s
TTFT (avg)
— s
VRAM (avg)
64 GB
MTP acceptance rate
—
TTFB
— GB
Power draw
— W

Configuration

Member-level fields are taken from the most recent run

Model
Llama 5 405B
Quantization
IQ2_XS
Framework
vLLM
Version
0.7.3
Context length
4096 tokens
Batch size
512
GPU layers
99
Flash Attention
On

Hardware

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

GPU
2x NVIDIA RTX 5090
Nominal VRAM
64 GB
Measured VRAM (avg)
64 GB
OS
Linux
Driver
570.65
CUDA
12.6

Sources & evidence

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

  1. L0 Self-reportedOtherOriginal link Verified on 2026-10-06

    0.7.3 · Linux · CUDA 12.6 · 4096 ctx

    — tok/s

    Decode

    — tok/s

    Prefill

    — s

    TTFT

    64 GB

    VRAM

    —

    MTP

    — W

    Power draw

    L0 理论估算:基于显存带宽 ÷ 模型体积公式,结合框架实测效率因子校准