Hy-Memory-30B-A3B · IQ1_S
This page aggregates 1 real-world runs of Hy-Memory-30B-A3B (IQ1_S) on AMD Ryzen AI Max+ 395 with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.
83.71 tok/s
Decode
Decode speed
315.21 tok/s
Prefill
Prefill speed
1.37 s
TTFT
Time to first token
28.56 GB
VRAM
VRAM usage
1
Measured runs
1
Independent sources
Other
Source platforms
17 days ago
Last verified
Performance
- llama.cpp · IQ1_S (current)Decode 83.71 · Prefill 315.21 ·
- vLLM · Q5_K_S Decode 50.65 · Prefill 184.14 ·
Core figures
- Decode (avg)
- 83.71 tok/s
- Prefill (avg)
- 315.21 tok/s
- TTFT (avg)
- 1.37 s
- VRAM (avg)
- 28.56 GB
- MTP acceptance rate
- —
- TTFB
- 0.67 GB
- Power draw
- 48 W
Configuration
Member-level fields are taken from the most recent run
- Model
- Hy-Memory-30B-A3B
- Quantization
- IQ1_S
- Framework
- llama.cpp
- Version
- v0.23
- Context length
- 2048 tokens
- Batch size
- 256
- 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
- AMD Ryzen AI Max+ 395
- Nominal VRAM
- 128 GB
- Measured VRAM (avg)
- 28.56 GB
- OS
- Windows 11 23H2
- Driver
- amdgpu 6.12
- CUDA
- 12.6
- Power draw
- 48 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
v0.23 · Windows 11 23H2 · CUDA 12.6 · 2048 ctx
83.71 tok/s
Decode
315.21 tok/s
Prefill
1.37 s
TTFT
28.56 GB
VRAM
—
MTP
48 W
Power draw
L2 batch seed 2026-10-19: llama.cpp on hw_id=24 running model_id=87 at IQ1_S