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Llama 5 70B · Q5_K_M

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NVIDIA RTX 5070 SUPER18GBllama.cpp b4200L0 Self-reported

This page aggregates 1 real-world runs of Llama 5 70B (Q5_K_M) on NVIDIA RTX 5070 SUPER with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

13.4 tok/s

Decode

Decode speed

100.5 tok/s

Prefill

Prefill speed

1 s

TTFT

Time to first token

18 GB

VRAM

VRAM usage

L0 Self-reported

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. vLLM · IQ3_S Decode 26.8 · Prefill 201 ·
  2. vLLM · IQ4_XS Decode 20.1 · Prefill 150.8 ·
  3. vLLM · Q6_K Decode 12.4 · Prefill 93 ·
  4. vLLM · Q5_K_M Decode 14.6 · Prefill 109.5 ·
  5. llama.cpp · IQ3_S Decode 24.6 · Prefill 184.5 ·
  6. llama.cpp · IQ4_XS Decode 18.5 · Prefill 138.8 ·
  7. llama.cpp · Q6_K Decode 11.4 · Prefill 85.5 ·
  8. llama.cpp · Q5_K_M (current)Decode 13.4 · Prefill 100.5 ·
  9. Strata · IQ2_XS Decode 38 · Prefill 285 ·

Core figures

Decode (avg)
13.4 tok/s
Prefill (avg)
100.5 tok/s
TTFT (avg)
1 s
VRAM (avg)
18 GB
MTP acceptance rate
—
TTFB
— GB
Power draw
— W

Configuration

Member-level fields are taken from the most recent run

Model
Llama 5 70B
Quantization
Q5_K_M
Framework
llama.cpp
Version
b4200
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
NVIDIA RTX 5070 SUPER
Nominal VRAM
18 GB
Measured VRAM (avg)
18 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

    b4200 · Linux · CUDA 12.6 · 4096 ctx

    13.4 tok/s

    Decode

    100.5 tok/s

    Prefill

    1 s

    TTFT

    18 GB

    VRAM

    —

    MTP

    — W

    Power draw

    L0 理论估算（add-1000-records-batch3）