Polyglot Air - Specialized Gemma 3 Fine-Tune
This model is a specialized fine-tune of Google's Gemma 3 4B, optimized specifically for the Polyglot Air desktop application workflow.
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.
π― 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 nΓ£o pode ser salvo porque o disco estΓ‘ cheio::en - Output:
The file cannot be saved because the disk is full
β‘ Suffix Command Table
Use these suffixes at the end of your selected text to trigger specific transformations.
| 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 Γ΄nibus estΓ‘ vindo |
::es |
Translate to Spanish | Hello friend::es |
Hola amigo |
::zh |
Translate to Chinese | Hello::zh |
δ½ ε₯½ |
::fix |
Fix grammar & spelling | i goes to skool yesterday::fix |
I went to school yesterday |
::formal |
Rewrite in a professional tone | Hey, send me that file asap::formal |
Could you please send me that file as soon as possible? |
::casual |
Rewrite in a casual/friendly tone | I acknowledge receipt of your message::casual |
Got your message, thanks! |
::summary |
Summarize the text | [Long Text]::summary |
[Concise Summary] |
π How to use with Polyglot Air
- Download this model (or the GGUF version if available).
- Add it to your Ollama library.
- Open Polyglot Air.
- Go to Settings > Model and select this model.
- Enjoy seamless, instruction-following translations.
Uploaded finetuned model
- Developed by: CalmState
- License: apache-2.0
- Finetuned from model : unsloth/gemma-3-4b-it-unsloth-bnb-4bit
This gemma3 model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model tree for CalmState/gemma-3-4b-polyglot-r1
Base model
google/gemma-3-4b-pt