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powtac
wtm
Swift2026–2026
powtac / wtm

wtm

What The Model — Local LLM Inventory for macOS

AI & Machine LearningMobile & Desktop
Explore on GitHubRead Hacker News discussions
2Distinct people
2Mentions
0Explicit recommenders
8GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

What The Model — Local LLM Inventory for macOS

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by day2 dated mentions

Observed mentions: 2026-08-27 12:38:23 UTC to 2026-09-21 19:01:59 UTC.

012026-08-27 00:00:00 UTC to 2026-08-28 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsAug 272026-08-28 00:00:00 UTC to 2026-08-29 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-08-29 00:00:00 UTC to 2026-08-30 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-08-30 00:00:00 UTC to 2026-08-31 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-08-31 00:00:00 UTC to 2026-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-09-01 00:00:00 UTC to 2026-09-02 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-09-02 00:00:00 UTC to 2026-09-03 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-09-03 00:00:00 UTC to 2026-09-04 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-09-04 00:00:00 UTC to 2026-09-05 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-09-05 00:00:00 UTC to 2026-09-06 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-09-06 00:00:00 UTC to 2026-09-07 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-09-07 00:00:00 UTC to 2026-09-08 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-09-08 00:00:00 UTC to 2026-09-09 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsSep 82026-09-09 00:00:00 UTC to 2026-09-10 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-09-10 00:00:00 UTC to 2026-09-11 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-09-11 00:00:00 UTC to 2026-09-12 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-09-12 00:00:00 UTC to 2026-09-13 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-09-13 00:00:00 UTC to 2026-09-14 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-09-14 00:00:00 UTC to 2026-09-15 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-09-15 00:00:00 UTC to 2026-09-16 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-09-16 00:00:00 UTC to 2026-09-17 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-09-17 00:00:00 UTC to 2026-09-18 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-09-18 00:00:00 UTC to 2026-09-19 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-09-19 00:00:00 UTC to 2026-09-20 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-09-20 00:00:00 UTC to 2026-09-21 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-09-21 00:00:00 UTC to 2026-09-22 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsSep 21

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Aug 272026-08-27 00:00:00 UTC2026-08-28 00:00:00 UTC110
Aug 282026-08-28 00:00:00 UTC2026-08-29 00:00:00 UTC000
Aug 292026-08-29 00:00:00 UTC2026-08-30 00:00:00 UTC000
Aug 302026-08-30 00:00:00 UTC2026-08-31 00:00:00 UTC000
Aug 312026-08-31 00:00:00 UTC2026-09-01 00:00:00 UTC000
Sep 12026-09-01 00:00:00 UTC2026-09-02 00:00:00 UTC000
Sep 22026-09-02 00:00:00 UTC2026-09-03 00:00:00 UTC000
Sep 32026-09-03 00:00:00 UTC2026-09-04 00:00:00 UTC000
Sep 42026-09-04 00:00:00 UTC2026-09-05 00:00:00 UTC000
Sep 52026-09-05 00:00:00 UTC2026-09-06 00:00:00 UTC000
Sep 62026-09-06 00:00:00 UTC2026-09-07 00:00:00 UTC000
Sep 72026-09-07 00:00:00 UTC2026-09-08 00:00:00 UTC000
Sep 82026-09-08 00:00:00 UTC2026-09-09 00:00:00 UTC000
Sep 92026-09-09 00:00:00 UTC2026-09-10 00:00:00 UTC000
Sep 102026-09-10 00:00:00 UTC2026-09-11 00:00:00 UTC000
Sep 112026-09-11 00:00:00 UTC2026-09-12 00:00:00 UTC000
Sep 122026-09-12 00:00:00 UTC2026-09-13 00:00:00 UTC000
Sep 132026-09-13 00:00:00 UTC2026-09-14 00:00:00 UTC000
Sep 142026-09-14 00:00:00 UTC2026-09-15 00:00:00 UTC000
Sep 152026-09-15 00:00:00 UTC2026-09-16 00:00:00 UTC000
Sep 162026-09-16 00:00:00 UTC2026-09-17 00:00:00 UTC000
Sep 172026-09-17 00:00:00 UTC2026-09-18 00:00:00 UTC000
Sep 182026-09-18 00:00:00 UTC2026-09-19 00:00:00 UTC000
Sep 192026-09-19 00:00:00 UTC2026-09-20 00:00:00 UTC000
Sep 202026-09-20 00:00:00 UTC2026-09-21 00:00:00 UTC000
Sep 212026-09-21 00:00:00 UTC2026-09-22 00:00:00 UTC101

What Hacker News says

2 sources
alwillis·Sep 21, 2026
Friendly reminder: Many apps (like dictation apps) ship with their own models totally separate from Apple Intelligence. For example, Co-Typist [1] is very useful, but it requires a model installed with it, ranging from Gemma 3 1B at 0.8 GB to Gemma 4 26B A4B Pro at 15.7 GB. It recommended Gemma E2B (3.2 GB) for my 16 GB, M1 Pro MacBook Pro. It works really well; the autocompletion is so good, it knows what I'm going to type before I do! Here's the thing: you may not be aware of the amount of storage being used by models in various 3rd-party apps. The open-source app What The Model [2] scans your machine and reports all the models it finds and gives you the total amount of storage being used. [1]: https://cotypist.app [2]: https://github.com/powtac/wtm
In macOS 27: Workaround to avoid downloading AI models and save storage

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