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Chattime 1 7B Base

Developed by ChengsenWang
ChatTime is an innovative multimodal time series foundation model that treats time series as a foreign language, unifying the processing of bimodal input/output for both time series and text.
Downloads 700
Release Time : 7/8/2024

Model Overview

ChatTime is an out-of-the-box multimodal time series foundation model with zero-shot forecasting capabilities, supporting bimodal input/output for both time series and text. By modeling time series as a foreign language, the model achieves unified processing of time series and text.

Model Features

Multimodal Time Series Processing
Capable of processing both time series data and text data simultaneously, enabling bimodal input/output
Zero-shot Forecasting Capability
Performs time series forecasting without requiring additional training
Context-guided Forecasting
Supports time series forecasting guided by textual context information
Time Series QA
Can answer natural language questions about time series data

Model Capabilities

Time series forecasting
Multimodal data analysis
Text-guided forecasting
Time series QA
Zero-shot learning

Use Cases

Time Series Analysis
Traffic Flow Prediction
Forecasts future traffic based on historical traffic data
Provides 24-hour traffic flow forecasts
Financial Time Series Analysis
Analyzes financial time series data such as stock prices and exchange rates
Predicts short-term price trends and provides explanations
Multimodal Applications
Context-enhanced Forecasting
Combines textual context information for more accurate time series forecasting
Improves accuracy by 10-15% compared to pure numerical forecasting
Time Series QA System
Answers natural language questions about time series data
Explains anomalies and trend changes in time series
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