Modelpublic

CalmState/Qwen-3-4b-Polyglot-r2

sourceHugging Faceapache-2.0updated 9mo agoView on Hugging Face

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Model Card

<div align="center"> <img src="https://raw.githubusercontent.com/andersondanieln/polyglot/main/public/images/logo-dark.svg" width="300"/> <h1>Polyglot r2</h1> </div>

This model is a specialized fine-tune of Qwen-3 4b, optimized specifically for the Polyglot Air desktop application workflow. This version was trained on a dataset approximately 4 times larger than its predecessor, significantly expanding its range of commands and improving the accuracy of its responses.

It has been trained to strictly adhere to suffix-based commands, ensuring instant, clean, and direct responses without conversational filler, hallucinations, or "Here is the translation" preambles.

🎯 Purpose

The default chat models often struggle with context switching when presented with short strings followed by a command (e.g., text::en). They might explain the translation or chat with the user.

This model is fine-tuned to treat the `::suffix` as a strict instruction code.

—Input: O arquivo não pode ser salvo porque o disco está cheio::en
—Output: The file cannot be saved because the disk is full

⚡ Suffix Command Table

Use these suffixes at the end of your selected text to trigger specific transformations.

Translation

Suffix	Action	Example Input	Model Output
`::en`	Translate to English	`Bom dia::en`	`Good morning`
`::pt`	Translate to Portuguese (Portugal)	`Good morning::pt`	`Bom dia`
`::ptbr`	Translate to Portuguese (Brazil)	`The bus is coming::ptbr`	`O ônibus está vindo`
`::es`	Translate to Spanish	`Hello friend::es`	`Hola amigo`
`::zh`	Translate to Chinese (Simplified)	`Hello::zh`	`你好`

Tone & Style Adjustment

Suffix	Action	Example Input	Model Output
`::fix`	Fix spelling and grammar	`i goes to skool yesterday::fix`	`I went to school yesterday`
`::formal`	Rewrite in a professional/formal tone	`Hey, send me that file asap::formal`	`Could you please send me that file as soon as possible?`
`::casual`	Rewrite in a casual tone	`I acknowledge receipt of your message::casual`	`Got your message, thanks!`
`::informal`	Rewrite in a slang/informal tone	`That is very interesting::informal`	`That's pretty cool`
`::polite`	Make polite	`I need the report now.::polite`	`Could you please provide the report when you have a moment?`
`::technical`	Make technical	`The computer is broken.::technical`	`The CPU is experiencing a critical hardware failure.`
`::creative`	Make creative	`The sun set.::creative`	`The sun painted the sky in hues of fire and gold.`
`::business`	Make business-oriented	`We should sell more.::business`	`We must optimize our sales funnel to increase revenue.`
`::news`	Rewrite in a news style	`A car crashed on the main street.::news`	`A vehicular collision occurred on Main Street earlier today.`
`::social`	Rewrite in a social media style	`I'm launching a new product.::social`	`🔥 BIG NEWS! So excited to launch our new product! #launch #new`

Content & Structure Manipulation

Suffix	Action	Example Input	Model Output
`::summarize`	Summarize the text	`[Long Text]::summarize`	`[Concise Summary]`
`::expand`	Expand / add details	`The project was a success.::expand`	`The project was a resounding success, exceeding all initial expectations.`
`::elaborate`	Elaborate / add details	`She was happy.::elaborate`	`A wide smile spread across her face, and her eyes sparkled with joy.`
`::simplify`	Simplify the text	`The confluence of factors precipitated this.::simplify`	`Many things caused this to happen.`
`::concise`	Make concise	`Due to the fact that it was raining, we left.::concise`	`We left because it was raining.`
`::toQuestion`	Transform into a question	`The report is due tomorrow.::toQuestion`	`Is the report due tomorrow?`
`::toStatement`	Transform into a statement	`Should we start the project?::toStatement`	`We should start the project.`

🚀 How to use with Polyglot Air

1.Download this model (or the GGUF version if available).
2.Add it to your Ollama library.
3.Open Polyglot Air.
4.Go to Settings > Model and select this model.
5.Enjoy seamless, instruction-following transformations.

Uploaded finetuned model

—Developed by: CalmState
—License: apache-2.0
—Finetuned from model : unsloth/Qwen3-4B-Instruct-2507

This qwen3 model was trained 2x faster with Unsloth and Huggingface's TRL library.