# Time Series Forecasting
Chengsenwang ChatTime 1 7B Base GGUF
Apache-2.0
ChatTime-1-7B-Base is a foundational model specialized in time series forecasting, supporting multimodal time series processing.
Multimodal Fusion
C
tensorblock
175
0
Chengsenwang ChatTime 1 7B Chat GGUF
Apache-2.0
ChatTime-1-7B-Chat is a multimodal foundation model specialized in time series forecasting, built on a 7B parameter scale.
Multimodal Fusion
C
tensorblock
153
0
FFNN
Other
This model is designed for time series forecasting, supports the English language, and uses a specific license (bethana15).
Physics Model English
F
bethana
22
0
Granite Timeseries Patchtsmixer
A time series forecasting model based on the PatchTSMixer architecture, developed by IBM, suitable for multivariate time series forecasting tasks.
Climate Model
Transformers

G
onnx-community
181
0
Granite Timeseries Patchtst
IBM Granite series time series forecasting model, based on PatchTST architecture, suitable for various time series forecasting tasks.
Climate Model
Transformers

G
onnx-community
182
1
Moirai Moe 1.0 R Base
This is a pre-trained time series forecasting model, focusing on time series data analysis and prediction tasks.
Climate Model
M
Salesforce
374.41k
9
Autogluon Chronos T5 Large
Apache-2.0
Chronos is a family of pre-trained time series forecasting models based on language model architecture, which transforms time series into token sequences for training through quantization and scaling.
Climate Model
A
anchovy
25
0
Test Patchtsmixer
Apache-2.0
PatchTSMixer is a time series forecasting foundational model under IBM's Granite project, featuring an innovative Patch hybrid architecture suitable for various time series forecasting tasks.
Climate Model
T
ibm-research
5,300
0
Test Patchtst
Apache-2.0
PatchTST is a pre-trained time series foundation model, focusing on time series forecasting tasks.
Climate Model
T
ibm-research
5,593
0
Chattime 1 7B Base
Apache-2.0
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.
Multimodal Fusion
Transformers

C
ChengsenWang
700
4
Chronos T5 Large
Apache-2.0
Chronos is a family of pretrained time series forecasting models based on language model architecture, which supports probabilistic forecasting by converting time series into token sequences for training.
Climate Model
Transformers

C
autogluon
59.18k
6
Chronos T5 Tiny
Apache-2.0
Chronos is a family of pretrained time series forecasting models based on language model architectures, trained by quantizing and scaling time series into token sequences.
Climate Model
Transformers

C
autogluon
318.45k
12
Chronos T5 Mini
Apache-2.0
Chronos is a family of pretrained time series forecasting models based on language model architectures, trained by converting time series into token sequences, supporting probabilistic forecasting.
Climate Model
Transformers

C
autogluon
23.57k
5
Chronos T5 Tiny
Apache-2.0
Chronos is a family of pretrained time series forecasting models based on language model architectures, trained by quantizing and scaling time series into token sequences.
Climate Model
Transformers

C
amazon
573.84k
106
Chronos T5 Base
Apache-2.0
Chronos is a family of pre-trained time series forecasting models based on language model architecture, which transforms time series into token sequences for training to achieve probabilistic forecasting.
Climate Model
Transformers

C
amazon
1.4M
30
Chronos T5 Small
Apache-2.0
Chronos is a family of pre-trained time series forecasting models based on language model architectures. It converts time series into token sequences through quantization and scaling for training, suitable for probabilistic forecasting tasks.
Climate Model
Transformers

C
amazon
22.8M
66
Chronos T5 Mini
Apache-2.0
Chronos-T5 is a pretrained time series forecasting model based on a language model architecture, achieving probabilistic forecasting by converting time series into token sequences and training the language model using cross-entropy loss.
Climate Model
Transformers

C
amazon
61.15k
16
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