TranslatePsy-AfriSLM-4B is a compact, conversational machine-translation model specialized for English and 19 Sub-Saharan African languages. It is a full-parameter supervised fine-tune of Qwen/Qwen3.5-4B trained on quality-filtered parallel data and multilingual instruction data. The model accompanies the EMNLP 2026 paper TranslatePsy-AfriSLM: High-Quality Data Scaling For Low-Resource Machine Translation. The TranslatePsy-AfriSLM family outperforms substantially larger systems, including TranslateGemma-27B and Qwen3.5-122B-A10B, on the African machine-translation benchmarks reported in the paper. — Developed by: Milan Gritta, Patrik Lambert, Jihye Back, and Amril Nazir — Organization: Tether AI Research — Shared by: QVAC — Model type: Qwen3.5 decoder-only conversational language model, full-parameter SFT — Parameters: approximately 4B — Languages: English, Afrikaans, Amharic, Hausa, Igbo, Kinyarwanda, Lingala, Luganda, Malagasy, Nyanja, Oromo, Shona, Somali, Southern Sotho, Swahili, Tswana, Wolof, Xhosa, Yoruba, and Zulu — License: Apache 2.0 — Base model: Qwen/Qwen3.
Модальности:
Генерация текста
Области применения:
Диалог / чат Мультиязычность Перевод
Задача: Генерация текста
Автор: qvac
Теги: qwen3_5, image-text-to-text, translation, machine-translation, african-languages, multilingual, conversational, qwen3.5
Лайков: 3 | Загрузок: 628
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
