You can inspect the code, read the data ledger, run the evaluation, or simply try the USB app. Pagouro has a path for each kind of curiosity. @pagouro
Prediction markets and politics are fascinating me this cycle. How are 'bettors' so far away from the polls? One or the other is going to be wrong on Tuesday. Is it the grass-roots prediction markets or the well-funded pollsters?
Can someone who is both pro abortion and Medicare-for-all explain the paradox as abortion is largely not paid for by Medicare since Hyde Amendment?
If you want abortion(s) seems like last thing you'd want is healthcare that specifically won't cover it*.
What am I missing?
The build taught me more than reading about LLMs did. Pagouro is my attempt to leave that learning trail visible for the next builder. @pagouro
Pagouro is one possible starting point for open AI work. The best next step may be a fork, a careful test, or a better idea than mine. @pagouro
A small model is a manageable way to study the whole stack: data, tokenizer, training, export, evaluation, and application. Pagouro leaves those steps in public. @pagouro
The 1B run took rented compute. The learning path does not require a GPU: the documented small-model pipeline can run on CPU. @pagouro
028-station-glass-roof-crowd_s1001.png
Made by @pagouro BE () free AI
The Hugging Face page hosts Pagouro's weights and model card. The GitHub repo holds source, tests, and corpus ledger. Both link from . @pagouro
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If Pagouro is useful to you, fork it. The repository includes a make-it-yours guide and the training pieces needed to understand the build. @pagouro
The corpus cutoff is before 2022. That makes post-ChatGPT synthetic text unlikely in Pagouro's training data, not impossible. The source dates are listed row by row. @pagouro
I can't say the EFF would endorse Pagouro. But local AI, a traceable training corpus, and verifiable release files are ideas digital-rights advocates can judge for themselves. @pagouro







