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Qwen3.8-9B · IQ2_M
AMD Ryzen AI Max+ 395128GBvLLM v0.25L2 Cross-framework verified
This page aggregates 1 real-world runs of Qwen3.8-9B (IQ2_M) on AMD Ryzen AI Max+ 395 with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.
42.37 tok/s
Decode
Decode speed
221.74 tok/s
Prefill
Prefill speed
0.26 s
TTFT
Time to first token
11.93 GB
VRAM
VRAM usage
L2 Cross-framework verified
1
Measured runs
1
Independent sources
Other
Source platforms
17 days ago
Last verified
Performance
- llama.cpp · Q4_K_M Decode 26.52 · Prefill 94.42 ·
- vLLM · IQ2_M (current)Decode 42.37 · Prefill 221.74 ·
- vLLM · Q6_K Decode 24.65 · Prefill 111.72 ·
- llama.cpp · IQ2_M Decode 125.51 · Prefill 634.19 ·
- llama.cpp · IQ3_S Decode 115.85 · Prefill 489.76 ·
- vLLM · Q5_K_M Decode 82.89 · Prefill 274.27 ·
- vLLM · IQ2_XS Decode 145.04 · Prefill 523.91 ·
- vLLM · Q3_K_L Decode 107.95 · Prefill 386.71 ·
- Strata · IQ3_XS Decode 164.91 · Prefill 583.87 ·
- Strata · Q5_K_S Decode 114.19 · Prefill 509.48 ·
Core figures
- Decode (avg)
- 42.37 tok/s
- Prefill (avg)
- 221.74 tok/s
- TTFT (avg)
- 0.26 s
- VRAM (avg)
- 11.93 GB
- MTP acceptance rate
- —
- TTFB
- 0.34 GB
- Power draw
- 45.8 W
Configuration
Member-level fields are taken from the most recent run
- Model
- Qwen3.8-9B
- Quantization
- IQ2_M
- Framework
- vLLM
- Version
- v0.25
- Context length
- 8192 tokens
- Batch size
- 8
- GPU layers
- 999
- Flash Attention
- Off
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)
- 11.93 GB
- OS
- Windows 11 23H2
- Driver
- amdgpu 6.12
- CUDA
- 12.4
- Power draw
- 45.8 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.25 · Windows 11 23H2 · CUDA 12.4 · 8192 ctx
42.37 tok/s
Decode
221.74 tok/s
Prefill
0.26 s
TTFT
11.93 GB
VRAM
—
MTP
45.8 W
Power draw
L2 batch seed 2026-10-19: vLLM on hw_id=24 running model_id=52 at IQ2_M