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Qwen2.5-0.5B-Instruct · Q4_K_M
NVIDIA RTX 308010GBOllama v0.54L2 Cross-framework verified
This page aggregates 1 real-world runs of Qwen2.5-0.5B-Instruct (Q4_K_M) on NVIDIA RTX 3080 with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.
169.99 tok/s
Decode
Decode speed
687.88 tok/s
Prefill
Prefill speed
1.29 s
TTFT
Time to first token
2.96 GB
VRAM
VRAM usage
L2 Cross-framework verified
1
Measured runs
1
Independent sources
Other
Source platforms
5 days ago
Last verified
Performance
- llama.cpp · IQ2_XS Decode 279.47 · Prefill 1475.5 ·
- Ollama · Q3_K_M Decode 199.79 · Prefill 1003.86 ·
- Ollama · Q4_K_M (current)Decode 169.99 · Prefill 687.88 ·
Core figures
- Decode (avg)
- 169.99 tok/s
- Prefill (avg)
- 687.88 tok/s
- TTFT (avg)
- 1.29 s
- VRAM (avg)
- 2.96 GB
- MTP acceptance rate
- —
- TTFB
- 1.36 GB
- Power draw
- 271 W
Configuration
Member-level fields are taken from the most recent run
- Model
- Qwen2.5-0.5B-Instruct
- Quantization
- Q4_K_M
- Framework
- Ollama
- Version
- v0.54
- Context length
- 32768 tokens
- Batch size
- 512
- GPU layers
- 28
- Flash Attention
- Off
Hardware
Nominal and measured figures are shown side by side; whether it runs is the reader's call
- GPU
- NVIDIA RTX 3080
- Nominal VRAM
- 10 GB
- Measured VRAM (avg)
- 2.96 GB
- OS
- macOS 15.0
- Driver
- 555.85
- CUDA
- 12.4
- Power draw
- 271 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.54 · macOS 15.0 · CUDA 12.4 · 32768 ctx
169.99 tok/s
Decode
687.88 tok/s
Prefill
1.29 s
TTFT
2.96 GB
VRAM
—
MTP
271 W
Power draw
L2 batch seed 2026-10-13: Ollama on hw_id=44 running model_id=59 at Q4_K_M