Polyglot r2
I'm sharing the second revision (r2) of Polyglot, a fine-tune based on Qwen3-4B designed specifically for deterministic text transformation using suffixes.
The goal of this model is to bypass the need for prompt engineering when performing standard text operations. Instead of writing a system prompt or instructing the model via chat, you simply append a specific suffix to your input string.
The model was trained on a curated dataset of millions of tokens to be strictly instruction-following for these tags. It outputs only the result, no conversational filler.
Supported Transformations
Languages
::pt - Portuguese (Portugal)::ptbr - Portuguese (Brazil)::en - English::es - Spanish::zh - Chinese (Simplified)
Corrections
::fix - Fix spelling and grammar while keeping the original language
Tone
::formal - Make formal::informal - Make slang/informal::casual - Make casual::polite - Make polite::business - Make business-oriented::technical - Make technical::creative - Make creative
Structure
::summarize - Summarize::expand - Expand / add details::simplify - Simplify::concise - Make concise::elaborate - Elaborate / add details
Style
::news - News style::social - Social media style::toQuestion - Transform into a question::toStatement - Transform into a statement
What's new in r2 Beyond tripling the dataset size, the main feature in this revision is Suffix Chaining. You can now combine tasks in a single pass.
For example, appending ::summarize ::ptbr will summarize the text and immediately translate the result to Portuguese (Brazil).
Usage & Workflow You can run this model using any standard inference backend (like llama.cpp, ollama, lm studio, etc).
However, I originally built this model to power an open-source tool I wrote (also called Polyglot). It’s a desktop utility that allows you to trigger these transformations via global hotkeys in any application on your OS. I use it daily to handle translations and quick text clean-ups without context-switching to a browser or chat UI.
Links
The project is fully open-source. If you find the workflow useful, a star on the repo is appreciated.
HAPPY NEW YEAR!!!
