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Zhilu 13B Instruct

Developed by SYSU-MUCFC-FinTech-Research-Center
ZhiLu is a financial large language model developed based on Chinese Alpaca2-13B, achieving capability leaps through massive incremental pre-training with Chinese and English corpora and high-quality instruction data alignment, with a focus on enhancing performance in the financial domain.
Downloads 26
Release Time : 10/25/2023

Model Overview

ZhiLu is a large language model specializing in the financial domain, strengthening financial professional performance while maintaining general capabilities, suitable for tasks such as financial information processing, analysis, and Q&A.

Model Features

Financial Domain Optimization
Trained with massive financial corpora, excelling in financial professional tasks
Bilingual Support
Supports Chinese and English processing, with a corpus ratio of approximately 2:1
Efficient Training
Utilizes LoRA efficient training technology combined with FlashAttention-2 acceleration
Complete Model
Provides a full version of the model, ready to use without additional LoRA module downloads

Model Capabilities

Financial text generation
Financial Q&A
Financial data analysis
Financial news comprehension
Listed company announcement parsing
Corporate annual report analysis

Use Cases

Financial Information Services
Financial Concept Explanation
Explains financial terminology and concepts, such as A-shares, IPO, etc.
Provides accurate and professional financial knowledge answers
Financial News Analysis
Extracts key points and trend analysis from financial news
Helps users quickly understand the core content of financial news
Corporate Financial Analysis
Annual Report Summary
Extracts key financial information and operational status from corporate annual reports
Quickly obtains core corporate financial data
Announcement Interpretation
Parses key information from listed company announcements
Helps investors understand announcement content and potential impacts
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