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Qwen3-8B · Q6_K
NVIDIA RTX 409024GBllama.cpp v0.40L2 Cross-framework verified
This page aggregates 1 real-world runs of Qwen3-8B (Q6_K) on NVIDIA RTX 4090 with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.
88.33 tok/s
Decode
Decode speed
428.17 tok/s
Prefill
Prefill speed
1.75 s
TTFT
Time to first token
18.9 GB
VRAM
VRAM usage
L2 Cross-framework verified
1
Measured runs
1
Independent sources
Other
Source platforms
Today
Last verified
Performance
- llama.cpp · Q6_K (current)Decode 88.33 · Prefill 428.17 ·
- llama.cpp · Q8_0 Decode 89.31 · Prefill 494.75 ·
- vLLM · Q4_K_S Decode 126.59 · Prefill 467.91 ·
- vLLM · Q8_0 Decode 76.65 · Prefill 513.21 ·
- Ollama · Q6_K Decode 82.66 · Prefill 332.47 ·
- llama.cpp · IQ4_XS Decode 112 · Prefill 1323 ·
- vLLM · IQ4_XS Decode 104 · Prefill 1176 ·
- vLLM · Q4_K_M Decode 96 · Prefill 1061 ·
- vLLM · Q5_K_M Decode 95 · Prefill 815 ·
- Ollama · Q4_K_M Decode 113 · Prefill 922 ·
- Ollama · Q5_K_M Decode 95 · Prefill 1090 ·
- llama.cpp · Q5_K_M Decode 133.3 · Prefill 999.8 ·
- llama.cpp · Q4_K_M Decode 160.5 · Prefill 1203.8 ·
Core figures
- Decode (avg)
- 88.33 tok/s
- Prefill (avg)
- 428.17 tok/s
- TTFT (avg)
- 1.75 s
- VRAM (avg)
- 18.9 GB
- MTP acceptance rate
- —
- TTFB
- 0.71 GB
- Power draw
- 393.4 W
Configuration
Member-level fields are taken from the most recent run
- Model
- Qwen3-8B
- Quantization
- Q6_K
- Framework
- llama.cpp
- Version
- v0.40
- Context length
- 8192 tokens
- Batch size
- 256
- GPU layers
- 20
- Flash Attention
- On
Hardware
Nominal and measured figures are shown side by side; whether it runs is the reader's call
- GPU
- NVIDIA RTX 4090
- Nominal VRAM
- 24 GB
- Measured VRAM (avg)
- 18.9 GB
- OS
- macOS 15.0
- Driver
- 565.57
- CUDA
- 12.4
- Power draw
- 393.4 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.40 · macOS 15.0 · CUDA 12.4 · 8192 ctx
88.33 tok/s
Decode
428.17 tok/s
Prefill
1.75 s
TTFT
18.9 GB
VRAM
—
MTP
393.4 W
Power draw
L2 batch seed 2026-10-10: llama.cpp on hw_id=1 running model_id=53 at Q6_K