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empero-org/brewery-ai

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An intuitive console agent to fine-tune AI models with little to no experience required!

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About the project

A console agent that walks users through the full fine-tuning cycle for language and image models via a chat with an AI guide: from picking a base model and data to training on a GPU and publishing to Hugging Face.

Useful for
  • Train a LoRA adapter for a style or character on your own or a rented GPU
  • Build a dataset from Hugging Face or local files and fine-tune with SFT or DPO
  • Publish the trained adapter to Hugging Face with a generated model card

README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.

5.1 Early signal Magnitude out of 10 — how fast interest is growing, not a quality score.

Star growth looks organic. Data as of October 5, 2026, 09:41 UTC.

The star-growth assessment does not verify whether the project is safe to run.

Stars per day

060120October 4, 2026October 5, 2026

Bars show daily stars; the line is a moving average of the available history. Short histories do not yet establish a reliable usual pace. Red marks spike days.

Why it’s trending

  • Star-counter measurements on 2026-10-05 (UTC), 07:56–09:26: 112 → 117 stars (+5). This is the change over that interval.
  • Estimated end-of-day forecast: about +45 stars, using observed gains and the previous day.
  • The repository is 1 day old and already has 117 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
  • Top new repositories this week: #160.
  • About 29 forks a day — people are taking the code.

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Three GitHub discoveries in each edition

What they do, why they are gaining interest, and what to check before using them.

Editions at 10:00, 16:00, 22:00 MSK.

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Numbers

Total stars
117
Today
+5 stars measured 2026-10-05, 07:56–09:26 UTC, ≈ 45 by evening
Forks
12
Issues and pull requests
1
Watchers
0
Language
Python
Created
October 4, 2026
Last push
October 5, 2026

Star trust

Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.

These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.

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GitNova: 5.1
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