Alpaca-7b Open Source Model - Empowering Free Machine Translation Research Work

Alpaca 7b

Developed by wxjiao

This repository contains a LLaMA-7b model internally fine-tuned on the Stanford Alpaca dataset, primarily for machine translation research.

Downloads 387

Release Time : 3/22/2023

Model Overview

Based on the LLaMA-7b model, fine-tuned with the Stanford Alpaca dataset, focusing on machine translation tasks.

Fine-tuned on Alpaca Dataset

Internally fine-tuned using the Stanford Alpaca dataset to enhance performance on specific tasks.

Multilingual Translation Support

Supports translation tasks for multiple language pairs, including German-English, English-German, Chinese-English, and English-Chinese.

Text Generation

Machine Translation

Machine Translation

German-English Translation

Translate German text into English

BLEU: 36.00, COMET: 0.8737

English-Chinese Translation

Translate English text into Chinese

BLEU: 10.06, COMET: 0.5604

Direction	De - En	De - En	En - De	En - De	Zh - En	Zh - En	En - Zh	En - Zh
Metric	BLEU	COMET	BLEU	COMET	BLEU	COMET	BLEU	COMET
Google	45.04	0.8879	41.16	0.8861	31.66	0.8771	43.58	0.8842
DeepL	49.23	0.8970	41.46	0.8903	31.22	0.8739	44.31	0.8811
ChatGPT	43.71	0.8910	38.87	0.8814	24.73	0.8581	38.27	0.8699
GPT - 4	46.00	0.8931	45.73	0.8928	28.50	0.8742	42.50	0.8840
LLaMA - 7b	6.96	0.6548	3.64	0.5084	8.95	0.6340	0.10	0.4899
Alpaca - 7b	36.00	0.8737	20.09	0.8003	14.37	0.8069	10.06	0.5604

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