Editorial
RunLocalAI measured

Kumru 2B on NVIDIA GeForce RTX 3080 16GB (Mobile)

Measured 3 mo ago.

Why trust this benchmark?

Measurement

tok/s
174.2
TTFT
129 ms
VRAM used
—
RAM used
—
Power
—
Quant
Q4_K_M
Context
4K
Run date
2026-06-02
Source
owner
Type
measured

V36.52 rigor detail

Protocol →
Cold-start decode
171.89 tok/sTTFT 1705 ms
Steady-state median
174.23 tok/sP5 171.7 · P95 175.6
Runs captured
5
Scenario
Single-stream
Editorial notes

5-run capture · variance 2.6% · scenario single-stream · runtime ollama

Evidence

What this row provides for independent review. Missing fields lower confidence; they are shown explicitly instead of hidden.

Source link
Open source
Evidence manifest
Open manifest
Command
Available
Raw logs
5 files
Raw results
5 files
Log hash
7effe7c5bf9f...
Operator
fred-oline
Runtime
ollama version is 0.24.0
Driver
571.96
CUDA / ROCm / Metal
12.8
OS
Microsoft Windows [Version 10.0.26200.8457]
Run count
5
Raw stats
Available
Environment notes
Not provided

Why this confidence tier?

High confidence

Confidence is rule-based. Every factor below contributed to the tier. We never expose a single numeric score; the tier label is auditable through this explanation alone.

Factors
  • +Measured by RunLocalAI editorial
How to improve this benchmark's confidence

Cohort intelligence

How this measurement compares to the rest of the corpus. Only comparable rows (same model + hardware first, with relaxations labelled) are used. We never average across runtimes or quant formats unless explicitly told to.

Insufficient comparison data. Insufficient cohort (0 comparable measurements). Outlier detection requires ≥5.

Same model, different hardware

1 matching row

What this model looks like on adjacent hardware. Drives the 'should I upgrade?' question.

Median tok/s
443.7
Spread
443.7 – 443.7

Same hardware, different model

12 matching rows

What else this rig can run at the same quant bucket.

Median tok/s
101.4
Spread
81.5 – 189.5
CoV
30%
  • 160.4 tok/srtx-3080-16gb-mobileollama version is 0.24.0Q4_K_MEditorial
  • 189.5 tok/srtx-3080-16gb-mobileollama version is 0.24.0Q4_K_MEditorial
  • 155.4 tok/srtx-3080-16gb-mobileollama version is 0.24.0Q4_K_MEditorial
  • 152.0 tok/srtx-3080-16gb-mobileollama version is 0.24.0Q4_K_MEditorial
  • 106.8 tok/srtx-3080-16gb-mobileollama version is 0.24.0Q4_K_MEditorial
  • +7 more

Reproduce this benchmark

Got the same model + hardware combo? Run the same measurement and submit your numbers. We'll pre-fill model, hardware, quant, and context — you just add your tok/s, VRAM, runtime version. If your numbers match within ±15%, this benchmark gets a confidence lift and a reproduction badge.

Reproduce this benchmark →

Related

Drill into the entity pages for this measurement.

Cite or export

Reference this benchmark in your work. Multiple formats; CC-BY attribution required.

Cite this benchmark or paste it into a README. Copy-to-clipboard; license is CC-BY-4.0 (attribution to RunLocalAI required).

OG card (PNG)
1200x630, social-preview ready
Download SVG
vector card, scales cleanly
Embed this benchmark
Paste into a Reddit thread, blog post, or README — attribution baked in.
<a href="https://www.runlocalai.co/benchmarks/365" rel="noopener">RunLocalAI: Kumru 2B on NVIDIA GeForce RTX 3080 16GB (Mobile) — 174.2 tok/s</a>

Direct download: .json · .md · .bib · .svg

Next recommended step

Got the same model + hardware? Run it and submit your numbers — successful reproductions lift this benchmark's confidence tier.

Reproduce this benchmark
OrCompare other measurements for Kumru 2B on NVIDIA GeForce RTX 3080 16GB (Mobile)See the benchmark roadmap