# BaruqueRodrigues/llm-legislativo

> Large-scale Brazilian legislative corpus and a causal Transformer language model trained from scratch in pure PyTorch without pretrained weights or closed APIs.

- Magnitude: 2.6 out of 10 — Early signal
- Stars: 123 total · +16 stars measured 2026-10-14, 19:49–21:30 UTC, ≈ 18 by evening
- Star trust: star growth looks organic
- Category: Language models · Language: Python · License: MIT · Created: 2026-10-13 · Last push: 2026-10-13
- GitHub: https://github.com/BaruqueRodrigues/llm-legislativo · Page: https://gitnova.dev/en/r/BaruqueRodrigues/llm-legislativo

## Useful for

- Train a custom language model on Brazilian legislative texts
- Explore legislative documents via Câmara and Senado datasets on Hugging Face
- Reproduce the preprocessing and training pipeline with SHA-256 verification

## Why it’s here

- Star-counter measurements on 2026-10-14 (UTC), 19:49–21:30: 107 → 123 stars (+16). This is the change over that interval.
- Estimated end-of-day forecast: about +18 stars, using observed gains and the previous day.
- The repository is 1 day old and already has 123 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #172.
- About 19 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: 11
- Issues and pull requests: 0
- Watchers: 0
- Average over the last week: 13 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 10

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

2026-10-13 … 2026-10-14: 8, 16

## Spotted in now

- Top new repositories this week: #172

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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 2026-10-14 21:39 UTC, updated every 30 minutes.