ChatTime-1-7B-Chat Open Source Multimodal Model - Free Deployment for Precise Time Series Prediction

Chengsenwang ChatTime 1 7B Chat GGUF

Developed by tensorblock

ChatTime-1-7B-Chat is a multimodal foundation model specialized in time series forecasting, built on a 7B parameter scale.

Multimodal Fusion Open Source License:Apache-2.0 #Time Series Forecasting #Multimodal Foundation Model #Financial Data Analysis

Downloads 153

Release Time : 4/28/2025

Model Overview

This model is a multimodal time series foundation model focused on time series forecasting tasks, supporting various quantized versions to meet different hardware requirements.

Model Features

Multimodal Time Series Processing

Capable of processing and analyzing various types of time series data

Multiple Quantized Versions

Offers various quantized versions from Q2_K to Q8_0 to accommodate different hardware needs

Efficient Inference

Optimized model structure provides efficient inference performance

Model Capabilities

Time Series Forecasting

Multimodal Data Analysis

Long-Term Trend Forecasting

Use Cases

Financial Forecasting

Stock Price Prediction

Predict short-term and long-term stock market price trends

Industrial Monitoring

Equipment Failure Prediction

Predict potential equipment failures based on sensor data analysis

🚀 ChengsenWang/ChatTime-1-7B-Chat - GGUF

This repository provides GGUF format model files for ChengsenWang/ChatTime-1-7B-Chat. These files are quantized using machines from TensorBlock, and they are compatible with llama.cpp as of commit b5165.

Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server

✨ Features

Model Tags: This model is tagged with time-series, pretrained-model, foundation-model, multimodality, multimodal-time-series-foundation-model, TensorBlock, and GGUF.
Pipeline Tag: It is designed for time-series forecasting.

📦 Installation

Command line

Install Huggingface Client:

pip install -U "huggingface_hub[cli]"

Download the individual model file to a local directory:

huggingface-cli download tensorblock/ChengsenWang_ChatTime-1-7B-Chat-GGUF --include "ChatTime-1-7B-Chat-Q2_K.gguf" --local-dir MY_LOCAL_DIR

If you want to download multiple model files with a pattern (e.g., *Q4_K*gguf), you can try:

huggingface-cli download tensorblock/ChengsenWang_ChatTime-1-7B-Chat-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'

📚 Documentation

Our projects

Project	Description	Link
Awesome MCP Servers	A comprehensive collection of Model Context Protocol (MCP) servers.	GitHub
TensorBlock Studio	A lightweight, open, and extensible multi-LLM interaction studio.	GitHub

Prompt template

Model file specification

Filename	Quant type	File Size	Description
ChatTime-1-7B-Chat-Q2_K.gguf	Q2_K	2.580 GB	smallest, significant quality loss - not recommended for most purposes
ChatTime-1-7B-Chat-Q3_K_S.gguf	Q3_K_S	3.000 GB	very small, high quality loss
ChatTime-1-7B-Chat-Q3_K_M.gguf	Q3_K_M	3.349 GB	very small, high quality loss
ChatTime-1-7B-Chat-Q3_K_L.gguf	Q3_K_L	3.649 GB	small, substantial quality loss
ChatTime-1-7B-Chat-Q4_0.gguf	Q4_0	3.883 GB	legacy; small, very high quality loss - prefer using Q3_K_M
ChatTime-1-7B-Chat-Q4_K_S.gguf	Q4_K_S	3.914 GB	small, greater quality loss
ChatTime-1-7B-Chat-Q4_K_M.gguf	Q4_K_M	4.138 GB	medium, balanced quality - recommended
ChatTime-1-7B-Chat-Q5_0.gguf	Q5_0	4.714 GB	legacy; medium, balanced quality - prefer using Q4_K_M
ChatTime-1-7B-Chat-Q5_K_S.gguf	Q5_K_S	4.714 GB	large, low quality loss - recommended
ChatTime-1-7B-Chat-Q5_K_M.gguf	Q5_K_M	4.845 GB	large, very low quality loss - recommended
ChatTime-1-7B-Chat-Q6_K.gguf	Q6_K	5.597 GB	very large, extremely low quality loss
ChatTime-1-7B-Chat-Q8_0.gguf	Q8_0	7.248 GB	very large, extremely low quality loss - not recommended

📄 License

This project is licensed under the Apache-2.0 license.

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