Qwen3.8-27B · Q3_K_L
This page aggregates 1 real-world runs of Qwen3.8-27B (Q3_K_L) on AMD Ryzen AI Max+ 395 with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.
19.34 tok/s
Decode
Decode speed
100.78 tok/s
Prefill
Prefill speed
0.82 s
TTFT
Time to first token
42.92 GB
VRAM
VRAM usage
1
Measured runs
1
Independent sources
Other
Source platforms
17 days ago
Last verified
Performance
- vLLM · FP16 Decode 9.75 · Prefill 49.87 ·
- vLLM · Q8_0 Decode 13.23 · Prefill 57.54 ·
- Ollama · Q3_K_L (current)Decode 19.34 · Prefill 100.78 ·
Core figures
- Decode (avg)
- 19.34 tok/s
- Prefill (avg)
- 100.78 tok/s
- TTFT (avg)
- 0.82 s
- VRAM (avg)
- 42.92 GB
- MTP acceptance rate
- —
- TTFB
- 0.15 GB
- Power draw
- 74.9 W
Configuration
Member-level fields are taken from the most recent run
- Model
- Qwen3.8-27B
- Quantization
- Q3_K_L
- Framework
- Ollama
- Version
- v0.28
- Context length
- 4096 tokens
- Batch size
- 512
- GPU layers
- 20
- 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)
- 42.92 GB
- OS
- Windows 11 23H2
- Driver
- amdgpu-pro 24.20
- CUDA
- 12.8
- Power draw
- 74.9 W
Get started
Original model resources
Base model resources may not match this quantization. Use the verified deployment weights above when available.
Sources & evidence
1 measured records in total, each traceable to its original source
v0.28 · Windows 11 23H2 · CUDA 12.8 · 4096 ctx
19.34 tok/s
Decode
100.78 tok/s
Prefill
0.82 s
TTFT
42.92 GB
VRAM
—
MTP
74.9 W
Power draw
L2 batch seed 2026-10-19: Ollama on hw_id=24 running model_id=5 at Q3_K_L