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Persianmind V1.0

Developed by universitytehran
PersianMind is a cross-lingual Persian-English large language model developed by the University of Tehran team, excelling in multiple Persian language tasks.
Downloads 212.04k
Release Time : 1/3/2024

Model Overview

This model is a bilingual large language model supporting Persian and English, focusing on text generation tasks such as Q&A, translation, and dialogue generation.

Model Features

Cross-lingual capability
Supports bilingual processing in Persian and English, with excellent performance in both languages
Quantization support
Supports 8-bit (INT8) and 4-bit (NF4) quantization, capable of running on resource-constrained devices
High performance
Performance in Persian reading comprehension tasks is comparable to GPT-3.5-turbo

Model Capabilities

Text generation
Q&A system
Machine translation
Dialogue system

Use Cases

Education
Persian learning assistance
Helps non-Persian speakers learn Persian
Translation services
Persian-English mutual translation
Provides high-quality mutual translation services between Persian and English
Excellent performance on COMET metrics
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