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cpu-decision-bench

sku10/cpu-decision-bench

Benchmark: does a decision model run usefully on CPU?

Evaluation & Benchmarking0.92Runner-up: Calibration & Research
Automated README summary

Automatically summarized from the README on 22 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A self-contained benchmark for running a 4B decision model (System One / Jev-class) on CPU-only hardware, measuring thread scaling, concurrency, and power to determine if and which CPUs are viable.

How it uses Jev

Jev answers typed, calibrated questions (no generated text) on benchmark items. The script generates its own items, runs them through a CPU-only llama.cpp build, and measures latency and throughput. Accuracy and calibration are checked with run_jevbench.py over a JevBench-format dataset.

Primitives:choicescorenoul

Technique worth stealing

Measure usable L3 per CCD/die, not total lscpu; a 64 MiB Q4 layer must fit in cache to break the memory wall.

Try it

Run ./cpu_decision_bench.sh --check first; then --quick (~5 min) or full (~20 min).

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.14.0
Project signals
jev-1.14.0
Category
jev-1.14.0
Pattern tags
jev-1.14.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectFound in material0.82
  • Shows a System One patternnot found in the excerpt0.09
  • Describes handling uncertaintynot found in the excerpt0.03
  • Reports measured numbersnot found in the excerpt0.23
  • Is a runnable toolnot found in the excerpt0.17
  • Top-10 learning shortlist signalnot found in the excerpt0.12
  • Is a replica of the modelnot found in the excerpt0.14
  • Solves a common problem (0–2)score on a 0–2 scale1.01 / 2
  • About JevFound in material0.95
Signals
Jev is core to the project0.82Shows a System One pattern0.09Describes handling uncertainty0.03Reports measured numbers0.23Is a runnable tool0.17Top-10 learning shortlist signal0.12Is a replica of the model0.1400.51Solves a common problem (0–2)1.01 / 2012

no-judgment band (0.40–0.60)

Design patterns
Check-up0.45Blind review0.3300.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 22 Oct 2026.