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Qwen3-Coder-Next · IQ2_M

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AMD Ryzen AI Max+ 395128GBOllama v0.30L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3-Coder-Next (IQ2_M) on AMD Ryzen AI Max+ 395 with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

108.9 tok/s

Decode

Decode speed

355.25 tok/s

Prefill

Prefill speed

1.29 s

TTFT

Time to first token

1.05 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

2 days ago

Last verified

Performance

  1. llama.cpp · Q4_K_S Decode 90.68 · Prefill 349.79 ·
  2. Ollama · IQ2_M (current)Decode 108.9 · Prefill 355.25 ·
  3. Ollama · Q3_K_S Decode 98.59 · Prefill 347.51 ·

Core figures

Decode (avg)
108.9 tok/s
Prefill (avg)
355.25 tok/s
TTFT (avg)
1.29 s
VRAM (avg)
1.05 GB
MTP acceptance rate
—
TTFB
0.87 GB
Power draw
115.7 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3-Coder-Next
Quantization
IQ2_M
Framework
Ollama
Version
v0.30
Context length
2048 tokens
Batch size
256
GPU layers
28
Flash Attention
On

Hardware

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

GPU
AMD Ryzen AI Max+ 395
Nominal VRAM
128 GB
Measured VRAM (avg)
1.05 GB
OS
Ubuntu 24.04
Driver
555.85
CUDA
N/A
Power draw
115.7 W

Sources & evidence

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

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-16

    v0.30 · Ubuntu 24.04 · CUDA N/A · 2048 ctx

    108.9 tok/s

    Decode

    355.25 tok/s

    Prefill

    1.29 s

    TTFT

    1.05 GB

    VRAM

    —

    MTP

    115.7 W

    Power draw

    L2 batch seed 2026-10-16: Ollama on hw_id=24 running model_id=58 at IQ2_M