gguf translation it en base_model:Qwen/Qwen2.5-7B-Instruct base_model:quantized:Qwen/Qwen2.5-7B-Instruct endpoints_compatible region:us conversational
---
base_model:
- Qwen/Qwen2.5-7B-Instruct
language:
- it
- en
pipeline_tag: translation
---
# Qwen-2.5 Fine-Tuned for English to Italian Translation

## Overview

This model is a fine-tuned version of the Qwen-2.5-Instruct large language model, specifically adapted for English-to-Italian translation tasks. Fine-tuning was performed using the DGT-TM dataset, a high-quality bilingual corpus provided by the European Union. The fine-tuning process was facilitated by Unsloth, a lightweight and efficient training library for large language models.
Model Details

    Fine-Tuning Framework: Unsloth
    Primary Task: English-to-Italian Translation
    Dataset Used: DGT-TM (Directorate-General for Translation Translation Memory)
    Language Pair: English → Italian

## Dataset Description

The DGT-TM dataset is a collection of professionally translated texts from the European Union, providing high-quality bilingual data. It is particularly suited for domain-specific translation tasks, such as legal, technical, and administrative documents.

    Size: 1.3 million sentence pairs
    Domains: Legal, Technical, Administrative
    Preprocessing: Sentences were tokenized and cleaned to ensure alignment consistency and to remove any low-quality pairs.