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Headline Methodology Results Cold vs warm By prompt Timeline Raw

4 MAY 2026 · Pavilion · HP laptop · GTX 1050 4 GB · 16 GB RAM · i7-9750H · qwen3 · chat

A3B cross-machine — Pavilion side

TL;DR

12 request records in the retained JSONL. Pavilion · GTX 1050 4 GB · Qwen3-30B-A3B IQ2_XXS: 5.88 tok/s mean; median request 57.8 s. These results describe the recorded configuration. Speed does not establish answer correctness; check settings and sample sizes before comparing.

What this run shows

The retained ledger contains 12 request records. This configuration used IQ2_XXS, whereas the paired Predator run used IQ2_M. The two recorded rates describe those setups; they do not isolate GPU capability or show which laptop is faster under equal settings.

Methodology

Request counts were checked against the retained JSONL on 21 October 2026, excluding telemetry and skipped records. Timing aggregates remain those published in the source. Count audit and original summary counts.

See Public methodology and measurement limits for the full procedure. Recorded source revision (where available): —.

Results

Cell tok/s mean tok/s p50 tok/s p95 duration p50 calls
qwen3:30b-a3b-iq2xxs-think5005.96.78.257.8s12

tokens per second — mean · p50 · p95

2 5 7 9 tok/s mean: 5.88 tok/s p50: 6.67 tok/s p95: 8.17 tok/s qwen3:30b-a3b-i… mean p50 p95

Cold start vs warm

Cold and warm are the source harness labels for first and subsequent calls in a sequence. The published labels alone do not prove a fresh process, disk reload or cache reset.

Cellcold ncold tok/scold p50warm nwarm tok/swarm p50warm/cold
pavilion:llamacpp:qwen3:30b-a3b-i…33.22m12s96.849.5s2.10×

By prompt difficulty

Tokens per second by prompt class. hello is a trivial one-line prompt; P-MEDIUM and P-HARDGeneration rates and durations by prompt class. These show the observed differences; they do not by themselves isolate prompt-processing versus generation bottlenecks.

CellhelloP-MEDIUMP-HARD
pavilion:llamacpp:qwen3:30b-a3b-i…3.4 tok/s
16.5s · n=4
6.8 tok/s
55.6s · n=4
7.5 tok/s
1m3s · n=4

Reasoning vs answer

Thinking models split their output into a hidden reasoning trace and a visible answer. The ratio shows how much of the budget the model spent thinking vs answering.

Cellreasoning charsanswer charsreasoning / answer
pavilion:llamacpp:qwen3:30b-a3b-i…9755871.66×

Per-call timeline

Every call placed during this run, in order, colored by phase. Width is proportional to the call’s share of the cell’s wall-time. Hover any segment for the prompt id and tok/s.

pavilion:llamacpp:qwen3:3… hello · cold · 226.8s · 0.3 tok/s hello · warm · 15.9s · 4.0 tok/s hello · warm · 17.0s · 3.8 tok/s hello · warm · 11.9s · 5.4 tok/s P-MEDIUM · cold · 132.3s · 3.5 tok/s P-MEDIUM · warm · 61.8s · 7.4 tok/s P-MEDIUM · warm · 49.5s · 8.2 tok/s P-MEDIUM · warm · 44.5s · 8.1 tok/s P-HARD · cold · 125.7s · 5.9 tok/s P-HARD · warm · 68.4s · 8.0 tok/s P-HARD · warm · 56.9s · 8.0 tok/s P-HARD · warm · 58.7s · 8.0 tok/s cold warm

Raw data

Every run gets its JSONL, log, summary, and metadata published. Clone the archive; re-run it; tell us where we got it wrong.

Cite

Margetic, S. et al. (2026). benchmarks.weeyuga.com/benchmarks/23066b38.html
Public benchmarks of the Weeyuga cluster. Run id: 23066b38-ea9c-4dd3-b2f5-32912a67fce4. SHA —.

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