117 lines
3.4 KiB
JSON
117 lines
3.4 KiB
JSON
{
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"id": "b54c61c0-b6b8-44ac-bc3e-a515df0f0499",
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"title": "vps50-gemma-e4b-1 \u2014 gemma on vps50",
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"date": "2026-05-04",
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"started_at": "2026-05-04T23:53:09Z",
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"git_sha": "f06800254dfd046e154c94f663fb7f9f66c79ae3",
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"hardware": "vps50",
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"hardware_label": "VPS50 \u00b7 cloud \u00b7 16 vCPU AMD EPYC \u00b7 62 GB RAM \u00b7 no GPU",
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"engine": "llamacpp",
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"harness": "vps50-gemma-e4b-1",
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"model_family": "gemma",
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"model_sizes": [
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"gemma-4-e4b"
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],
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"task_kind": "chat",
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"tags": [
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"gemma",
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"vps50"
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],
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"headline": "no calls landed",
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"janie_blurb_md": null,
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"janie_blurb_status": "pending",
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"caveat": null,
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"caveat_severity": null,
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"methodology_ref": "HARNESS#vps50-gemma-e4b-1",
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"methodology_deviations_md": null,
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"results_table": [
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{
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"label": "gemma-4-e4b",
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"cell_id": "vps50:llamacpp:gemma-4-e4b",
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"n_calls": 0,
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"n_errors": 0,
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"duration_ms_mean": null,
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"duration_ms_p50": null,
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"duration_ms_p95": null,
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"tokens_per_sec_mean": null,
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"tokens_per_sec_p50": null,
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"tokens_per_sec_p95": null,
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"tokens_per_sec_max": null,
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"memory_mb": null,
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"watts_avg": null,
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"notes": null
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}
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],
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"cells": [
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{
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"cell_id": "vps50:llamacpp:gemma-4-e4b",
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"n_calls": 0,
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"n_errors": 0,
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"duration_ms_mean": null,
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"duration_ms_p50": null,
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"duration_ms_p95": null,
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"tokens_per_sec_mean": null,
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"tokens_per_sec_p50": null,
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"tokens_per_sec_p95": null,
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"tokens_per_sec_max": null
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}
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],
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"n_calls_total": 0,
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"n_errors_total": 0,
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"chart_spec": {
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"kind": "bar",
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"x": "cell",
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"y": "tokens_per_sec_mean",
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"series": [
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"gemma-4-e4b"
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],
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"data_url": "/data/b54c61c0-b6b8-44ac-bc3e-a515df0f0499/run.jsonl"
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},
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"site_grade": "archive-only",
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"site_grade_reason": "status=meta-only",
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"raw_data_urls": {
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"jsonl": "/data/b54c61c0-b6b8-44ac-bc3e-a515df0f0499/run.jsonl",
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"log": "/data/b54c61c0-b6b8-44ac-bc3e-a515df0f0499/run.log",
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"md": null,
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"metadata": "/data/b54c61c0-b6b8-44ac-bc3e-a515df0f0499/metadata.json",
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"gitea_dir": "https://git.weeyuga.com/slobodanmargetic988/weeyuga-benchmarks-public/src/branch/main/runs/b54c61c0-b6b8-44ac-bc3e-a515df0f0499/"
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},
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"synthesis_doc": null,
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"synthesis_docs_all": [],
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"related_ids": [],
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"status": "meta-only",
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"visibility": "draft",
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"cells_full": [
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{
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"cell_id": "vps50:llamacpp:gemma-4-e4b",
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"n_calls": 0,
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"n_errors": 0,
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"duration_ms_mean": null,
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"duration_ms_p50": null,
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"duration_ms_p95": null,
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"tokens_per_sec_mean": null,
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"tokens_per_sec_p50": null,
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"tokens_per_sec_p95": null,
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"tokens_per_sec_max": null,
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"calls": []
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}
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],
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"meta_record": {
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"type": "meta",
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"benchmark_run_id": "b54c61c0-b6b8-44ac-bc3e-a515df0f0499",
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"harness_version": "vps50-gemma-e4b-1",
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"started_at_utc": "2026-05-04T23:53:09Z",
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"host": "Slobodans-MacBook-Air.local",
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"node": "vps50",
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"engine": "llamacpp",
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"predator_target_url": "http://81.17.99.14:11436",
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"purpose": "Sloba 2026-05-05: 'i want the same gemma 4 we have on predator on vps50 so we can compare them'. Direct CPU-vs-GPU comparison vs Predator trio bench 09d8fbde where gemma-4-E4B-it Q4_K_M scored 22.9 t/s warm P-MEDIUM / 23.5 P-HARD on GTX 1060.",
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"models": [
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"gemma-4-e4b"
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],
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"ngl": 0,
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"ctx": 32768
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},
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"packaged_at": "2026-05-06T08:04:27Z"
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}
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