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Qwen3.5-27B · IQ4_XS
NVIDIA RTX 409024GBvLLM 0.7.3L2 Cross-framework verified
This page aggregates 1 real-world runs of Qwen3.5-27B (IQ4_XS) on NVIDIA RTX 4090 with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.
81 tok/s
Decode
Decode speed
964 tok/s
Prefill
Prefill speed
0.66 s
TTFT
Time to first token
— GB
VRAM
VRAM usage
L2 Cross-framework verified
1
Measured runs
1
Independent sources
Other
Source platforms
Today
Last verified
Performance
- llama.cpp · IQ4_XS Decode 100 · Prefill 1111 ·
- llama.cpp · Q4_K_M Decode 89 · Prefill 1010 ·
- llama.cpp · Q5_K_M Decode 86 · Prefill 1000 ·
- llama.cpp · Q8_0 Decode 69 · Prefill 586 ·
- vLLM · IQ4_XS (current)Decode 81 · Prefill 964 ·
- vLLM · Q4_K_M Decode 75 · Prefill 884 ·
- vLLM · Q5_K_M Decode 80 · Prefill 712 ·
- vLLM · Q8_0 Decode 55 · Prefill 596 ·
- Ollama · IQ4_XS Decode 102 · Prefill 988 ·
- Ollama · Q4_K_M Decode 94 · Prefill 874 ·
- Ollama · Q5_K_M Decode 85 · Prefill 894 ·
- Ollama · Q8_0 Decode 57 · Prefill 682 ·
- Strata · IQ4_XS Decode 148 · Prefill 1453 ·
- Strata · Q4_K_M Decode 133 · Prefill 1354 ·
- Strata · Q5_K_M Decode 111 · Prefill 1332 ·
- Strata · Q8_0 Decode 95 · Prefill 955 ·
Core figures
- Decode (avg)
- 81 tok/s
- Prefill (avg)
- 964 tok/s
- TTFT (avg)
- 0.66 s
- VRAM (avg)
- — GB
- MTP acceptance rate
- —
- TTFB
- — GB
- Power draw
- 499 W
Configuration
Member-level fields are taken from the most recent run
- Model
- Qwen3.5-27B
- Quantization
- IQ4_XS
- Framework
- vLLM
- Version
- 0.7.3
- Context length
- 8192 tokens
- Batch size
- 512
- 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
- NVIDIA RTX 4090
- Nominal VRAM
- 24 GB
- OS
- Linux 6.8.0
- Driver
- 570.86.15
- CUDA
- 12.6
- Power draw
- 499 W
Sources & evidence
1 measured records in total, each traceable to its original source
0.7.3 · Linux 6.8.0 · CUDA 12.6 · 8192 ctx
81 tok/s
Decode
964 tok/s
Prefill
0.66 s
TTFT
0 GB
VRAM
—
MTP
499 W
Power draw
Auto-generated LLM-sourced record 2026-10-09. Model: Qwen3.5-27B, Hardware: RTX 4090, Framework: 2, Quant: IQ4_XS.