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RUNLOCALAI · v38
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  4. /Qwen 2.5 Coder 14B Instruct × NVIDIA GeForce RTX 5080
✓Editorial
RunLocalAI measured

Qwen 2.5 Coder 14B Instruct on NVIDIA GeForce RTX 5080

Measured this month.

Why trust this benchmark?

Measurement

tok/s
79.0
TTFT
117 ms
VRAM used
—
RAM used
—
Power
—
Quant
Q4_K_M
Context
4K
Run date
2026-05-28
Source
owner
Type
measured

V36.52 rigor detail

Protocol →
Cold-start decode
77.40 tok/sTTFT 11949 ms
Steady-state median
79.00 tok/sP5 78.5 · P95 79.1
Runs captured
5
Scenario
Single-stream
Editorial notes

5-run capture · variance 0.8% · 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
9d89179618d4...
Operator
fred-oline
Runtime
ollama version is 0.24.0
Driver
595.97
CUDA / ROCm / Metal
Not provided
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
  • Reproduce this benchmark →An independent reproduction with matching numbers lifts the tier and reduces single-source risk.
  • Read the confidence methodology →Full editorial standards for tiering.
  • Why we don't use percentages →Tier labels — auditable, no opaque score.

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 hardware, different model

9 matching rows

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

Median tok/s
133.6
Spread
61.5 – 443.7
CoV
68%
  • 82.0 tok/srtx-5080ollama version is 0.24.0Q4_K_M✓Editorial
  • 61.5 tok/srtx-5080ollama version is 0.24.0Q4_K_M✓Editorial
  • 101.1 tok/srtx-5080ollama-local-apiQ4_K_M✓Editorial
  • 133.4 tok/srtx-5080ollama-local-apiQ4_K_M✓Editorial
  • 133.6 tok/srtx-5080ollama-local-apiQ4_K_M✓Editorial
  • +4 more

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Related

Drill into the entity pages for this measurement.

Qwen 2.5 Coder 14B Instruct model page
NVIDIA GeForce RTX 5080 hardware page
All measurements for this exact pair
Try NVIDIA GeForce RTX 5080 in the build engine

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Next recommended step

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OrCompare other measurements for Qwen 2.5 Coder 14B Instruct on NVIDIA GeForce RTX 5080See the benchmark roadmap
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