# Low-resource language model

YugoGPT-Florida is a large language model based on Serbian, focusing on text generation tasks.

Labess-7b-chat is an open-source model specifically instruction-tuned for the Tunisian dialect (Derja), based on the jais-adapted-7b-chat model and continuously pre-trained using Tunisian dialect datasets.

A Turkish text generation model fine-tuned from unsloth/Llama-3.2-3B-bnb-4bit, specializing in summarization tasks.

A poetry generation model trained on 6,116 poems by 21 Kurdish poets

Latxa is a large Basque language model based on the LLaMA-2 architecture, specifically designed for low-resource languages, trained on a 4.2 billion token Basque corpus

Built based on the Taiwanese-Llama-2 series of models, focusing on translation tasks between Taiwanese Southern Min, Traditional Chinese, and English.

A large-scale Burmese language model developed by Dr. Wai Yan, fine-tuned based on the GPT-2 architecture, focusing on Burmese text completion tasks.

A model focused on Yoruba text generation, fine-tuned based on multiple datasets.

Persian text generation model based on GPT-2 architecture, ported to the Hezar framework for compatibility

A fine-tuned model based on airesearch/wangchanberta-base-att-spm-uncased, specific purpose not clearly stated

A Kinyarwanda speech recognition model fine-tuned on the common_voice dataset based on facebook/wav2vec2-xls-r-300m

This is a speech recognition model fine-tuned on Filipino speech datasets based on the wav2vec2-large-xlsr-53-english model, supporting English and Filipino speech-to-text tasks.

A speech recognition model fine-tuned on Kaqchikel audio data based on facebook/wav2vec2-xls-r-300m

This model is an automatic speech recognition (ASR) model based on the wav2vec2-large-xls-r-300m architecture, fine-tuned on the Guarani speech dataset.

This is a small GPT2 model trained on the MC4 Sinhala language dataset, suitable for Sinhala text generation tasks.

This is a relatively small model trained on the deduplicated OSCAR Sinhala dataset, providing foundational support for the low-resource Sinhala language.

This is an Indonesian poetry generation model fine-tuned from a small Indonesian GPT-2 model.

A GPT2 model trained on Arabic Wikipedia dataset based on gpt2-small architecture, suitable for text generation tasks.

This is an automatic speech recognition (ASR) model fine-tuned on the Common Voice 8 dataset based on the facebook/wav2vec2-xls-r-300m model, supporting Guarani (gn).

A speech recognition model fine-tuned on Guarani language dataset based on facebook/wav2vec2-xls-r-300m

Pretrained model based on RoBERTa architecture for Southern Quechua (Collao and Chanka dialects), trained with 5 million tokens