# Small-scale efficiency

A summarization model fine-tuned on the Amazon English-Spanish dataset based on google/mt5-small, supporting English to Spanish text summarization tasks.

Fikri is a language model specifically tailored for Turkish language tasks, based on the Llama 3.1 architecture with 8 billion parameters.

A Portuguese summarization generation model fine-tuned based on google/flan-t5-small, suitable for Portuguese text summarization tasks, with a small model size but good performance.

polka-1.1b is a bilingual (Polish and English) text generation model enhanced by continuing pre-training on 5.7 billion Polish tokens based on the TinyLlama-1.1B model.

PiVoT is a model fine-tuned from Mistral 7B, derived from Synatra v0.3 RP variant, demonstrating good performance.

A small natural language inference model based on DeBERTa-v3, suitable for zero-shot classification tasks

A programming task-solving model fine-tuned on the APPS dataset based on GPT-Neo-125M

This is a model based on sentence-transformers that can map sentences and paragraphs into a 768-dimensional dense vector space, suitable for tasks such as clustering or semantic search.

roberta-urdu-small is a small language model for Urdu, based on the RoBERTa architecture, specifically designed for Urdu text processing tasks.