Qwen-3-4b-Polyglot-r2

<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

Tone & Style Adjustment

Content & Structure Manipulation

🚀 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.

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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.

<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>