Text Generation
Transformers
multilingual
Synthetic
sft
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Multilingual Instruct Models (Polyglot Teachers)

These are per-language models supervised fine-tuned on the synthetic data generated in the Polyglot Teachers project (see ljvmiranda921/PolyglotTeachers-SFT-Synth).

Load a specific model by passing the branch as the revision:

from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "ljvmiranda921/Polyglot-SFT-Multilingual"
branch = "Polyglot-OLMo3-7B-SFT-ar"  # pick any branch below
model = AutoModelForCausalLM.from_pretrained(repo, revision=branch)
tokenizer = AutoTokenizer.from_pretrained(repo, revision=branch)

Branches

Branch Description
Polyglot-Gemma3-4B-SFT-ar Gemma-3 4B SFT โ€” Arabic
Polyglot-Gemma3-4B-SFT-de Gemma-3 4B SFT โ€” German
Polyglot-Gemma3-4B-SFT-id Gemma-3 4B SFT โ€” Indonesian
Polyglot-Gemma3-4B-SFT-tl Gemma-3 4B SFT โ€” Tagalog
Polyglot-OLMo3-7B-SFT-ar OLMo-3 7B SFT โ€” Arabic
Polyglot-OLMo3-7B-SFT-cs OLMo-3 7B SFT โ€” Czech
Polyglot-OLMo3-7B-SFT-de OLMo-3 7B SFT โ€” German
Polyglot-OLMo3-7B-SFT-es OLMo-3 7B SFT โ€” Spanish
Polyglot-OLMo3-7B-SFT-id OLMo-3 7B SFT โ€” Indonesian
Polyglot-OLMo3-7B-SFT-ja OLMo-3 7B SFT โ€” Japanese

Licensing

This repo holds models under different licenses; each branch follows its base model's license:

Acknowledgements

LJVM and AK acknowledge the support of the UKRI Frontier Grant EP/Y031350/1 (EQUATE). This work was performed using joint resources provided by the Cambridge Service for Data Driven Discovery (CSD3) EP/T022159/1 and the Isambard AI National AI Research Resource (AIRR) ST/AIRR/I-A-I/1023, and the Microsoft Research Grant. LJVM would also like to thank Songbo Hu, Chen Cecilia Liu, Millicent Ochieng, and Felermino Ali for helpful and productive discussions on the project.

Citation

@misc{miranda2026polyglotteachersevaluatinglanguage,
    title={Polyglot Teachers: Evaluating Language Models for Multilingual Synthetic Data Generation},
    author={Lester James V. Miranda and Ivan Vuliฤ‡ and Anna Korhonen},
    year={2026},
    eprint={2604.11290},
    archivePrefix={arXiv},
    primaryClass={cs.CL},
    url={https://arxiv.org/abs/2604.11290},
}
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