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gemma-4-12B-it · Q6_K
NVIDIA RTX 309024GBvLLM v0.22L2 Cross-framework verified
This page aggregates 1 real-world runs of gemma-4-12B-it (Q6_K) on NVIDIA RTX 3090 with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.
50.6 tok/s
Decode
Decode speed
208.67 tok/s
Prefill
Prefill speed
0.1 s
TTFT
Time to first token
22.8 GB
VRAM
VRAM usage
L2 Cross-framework verified
1
Measured runs
1
Independent sources
Other
Source platforms
Today
Last verified
Performance
- vLLM · Q6_K (current)Decode 50.6 · Prefill 208.67 ·
- Ollama · IQ3_XS Decode 67.34 · Prefill 278.97 ·
- vLLM · Q4_K_M Decode 100.66 · Prefill 612.88 ·
- Ollama · Q2_K Decode 115.28 · Prefill 513.9 ·
- Ollama · Q4_K_S Decode 84.3 · Prefill 357.49 ·
- Strata · IQ2_M Decode 174.12 · Prefill 755.26 ·
- vLLM · Q8_0 Decode 61.2 · Prefill 459 ·
- vLLM · Q5_K_M Decode 89.4 · Prefill 670.5 ·
- llama.cpp · Q8_0 Decode 56.2 · Prefill 421.5 ·
- llama.cpp · Q5_K_M Decode 82 · Prefill 615 ·
- llama.cpp · Q4_K_M Decode 100 · Prefill 750 ·
Core figures
- Decode (avg)
- 50.6 tok/s
- Prefill (avg)
- 208.67 tok/s
- TTFT (avg)
- 0.1 s
- VRAM (avg)
- 22.8 GB
- MTP acceptance rate
- —
- TTFB
- 0.4 GB
- Power draw
- 281.8 W
Configuration
Member-level fields are taken from the most recent run
- Model
- gemma-4-12B-it
- Quantization
- Q6_K
- Framework
- vLLM
- Version
- v0.22
- Context length
- 32768 tokens
- Batch size
- 8
- GPU layers
- 999
- Flash Attention
- On
Hardware
Nominal and measured figures are shown side by side; whether it runs is the reader's call
- GPU
- NVIDIA RTX 3090
- Nominal VRAM
- 24 GB
- Measured VRAM (avg)
- 22.8 GB
- OS
- Windows 11 24H2
- Driver
- 560.94
- CUDA
- 13.0
- Power draw
- 281.8 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.22 · Windows 11 24H2 · CUDA 13.0 · 32768 ctx
50.6 tok/s
Decode
208.67 tok/s
Prefill
0.1 s
TTFT
22.8 GB
VRAM
—
MTP
281.8 W
Power draw
L2 batch seed 2026-10-18: vLLM on hw_id=2 running model_id=65 at Q6_K