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Laguna-S-2.1 · IQ3_S
NVIDIA RTX 409024GBvLLM 0.7.3L0 Self-reported
This page aggregates 1 real-world runs of Laguna-S-2.1 (IQ3_S) on NVIDIA RTX 4090 with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.
17.9 tok/s
Decode
Decode speed
134.3 tok/s
Prefill
Prefill speed
0.74 s
TTFT
Time to first token
24 GB
VRAM
VRAM usage
L0 Self-reported
1
Measured runs
1
Independent sources
Other
Source platforms
Today
Last verified
Performance
- vLLM · IQ3_S (current)Decode 17.9 · Prefill 134.3 ·
- vLLM · IQ2_XS Decode 21.5 · Prefill 161.3 ·
Core figures
- Decode (avg)
- 17.9 tok/s
- Prefill (avg)
- 134.3 tok/s
- TTFT (avg)
- 0.74 s
- VRAM (avg)
- 24 GB
- MTP acceptance rate
- —
- TTFB
- — GB
- Power draw
- — W
Configuration
Member-level fields are taken from the most recent run
- Model
- Laguna-S-2.1
- Quantization
- IQ3_S
- Framework
- vLLM
- Version
- 0.7.3
- Context length
- 4096 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
- Measured VRAM (avg)
- 24 GB
- OS
- Linux
- Driver
- 570.65
- CUDA
- 12.6
Sources & evidence
1 measured records in total, each traceable to its original source
0.7.3 · Linux · CUDA 12.6 · 4096 ctx
17.9 tok/s
Decode
134.3 tok/s
Prefill
0.74 s
TTFT
24 GB
VRAM
—
MTP
— W
Power draw
L0 理论估算（add-1000-records-batch3）