# empero-org/brewery-ai

> 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.

- Magnitude: 5.2 out of 10 — Early signal
- Stars: 124 total · +12 stars measured 2026-10-05, 07:56–10:13 UTC, ≈ 52 by evening
- Star trust: star growth looks organic
- Category: Language models · Language: Python · Created: 2026-10-04 · Last push: 2026-10-05
- GitHub: https://github.com/empero-org/brewery-ai · Page: https://gitnova.dev/en/r/empero-org/brewery-ai

## 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

## Why it’s here

- Star-counter measurements on 2026-10-05 (UTC), 07:56–10:13: 112 → 124 stars (+12). This is the change over that interval.
- Estimated end-of-day forecast: about +51 stars, using observed gains and the previous day.
- The repository is 1 day old and already has 124 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #152.
- About 29 forks a day — people are taking the code.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 12
- Issues and pull requests: 1
- Watchers: 0
- Average over the last week: 77 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 9

## Stars per day, last 2 days (oldest → newest, today is partial)

2026-10-04 … 2026-10-05: 103, 12

## Spotted in now

- Top new repositories this week: #152

## Similar by description

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   Open dataset and fine-tuning recipe for Qwen3.5-4B that picks one of 2–24 options given context and a question. The repo ships data, build scripts, Together AI training and evaluation tooling.
   Full card: https://gitnova.dev/en/r/togethercomputer/tev1.md
2. **lostmsu/TurboGPT** — 1.2 · Steady · Language models · C++ · +0 stars measured 2026-10-05, 00:13–10:23 UTC, ≈ 0 by evening
   Trains a tiny byte-level GPT from scratch in CUDA C++ in under a minute; suited for experimenting with language model training on a local GPU.
   Full card: https://gitnova.dev/en/r/lostmsu/TurboGPT.md

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-05 10:28 UTC, updated every 30 minutes.