WORKSHOP / TEST REPORT

What the tests show.

Local models on a MacBook with 48 GB RAM. We test how well they handle everyday tasks using fictional examples.

New on 7 October 2026: Kolibri, Kev and Gemma in a larger local Folio test →

24.09.2026 · 14 FICTIONAL EXAMPLES

What actually counts as a task?

Three models classify the same messages: task, unclear or no task. Standard instruction (v1).

Correct classifications / 14Response time · median
Gemma 4 26B A4B
14/141.3 s
Qwen 3.6 35B A3B
13/1422.5 s
Qwen 3 30B A3B Thinking
12/148.2 s

Does a clearer instruction help?

We also tried a more specific instruction on the same fourteen messages. Gemma stayed ahead in both versions.

ModelInstructionCorrectTime · median
Gemma 4 26B A4BStandard (v1)14/141.3 s
Gemma 4 26B A4BMore specific (v1-strict)14/141.3 s
Qwen 3.6 35B A3BStandard (v1)13/1422.5 s
Qwen 3.6 35B A3BMore specific (v1-strict)12/1423.2 s
Qwen 3 30B A3B ThinkingStandard (v1)12/148.2 s
Qwen 3 30B A3B ThinkingMore specific (v1-strict)13/149.2 s

From a question to a calculation.

In Ledger, Qwen 3.8 interprets the question. Code retrieves transactions and calculates the answer.

28/30

Questions understood

The model chose the intended query.

18/18

Workflows passed

The path from question to answer; nine cases used the model.

28/28

Calculations passed

Queries and totals checked directly in code.

DEVELOPMENT

How the lab grew.

  1. August–September 2026

    It started with mail.

    We first compared local models on email. Some returned empty or unreadable answers. Response quality, speed and manual checks guided the selection.

  2. 22 September

    Then came financial questions.

    Ledger taught us to test question understanding and calculations separately. After improvements, the workflow reached the results shown above.

  3. 24 September

    Short messages, closer inspection.

    Three models tried two instructions. We discovered that our expected answer for a meeting note was wrong and rescored the saved responses; the charts now show those results.

  4. Today

    A role for each model.

    Response quality, speed and manual checks guide the choice of mail models. The catalogue brings together twelve candidates from separate experiments; the two Qwen versions belong to the same family.

A useful next step: try Gemma 4 26B on more mail edge cases and tool calls.

← Back to the lab