models
Open weights, fine-tunes and adapters. Every listing here comes live from the Hugging Face Hub, attributed to it, and links back to the source.
testing-patchtst_etth1_forecaststock-forecast-qwen3-0.6b-GGUFLlama2_Time_series_forecastingLlama2_Time_series_forecasting_7.0Llama2_Time_series_forecasting_4.0Llama2_Time_series_forecasting_5.0bloom-560m-Forecast-V1GPT-Neo-1.3_Series_Forecastingbloom-560m-Forecastbloom-560m-Forecast-V1-Forecast-V1modernBERT-content-regressionlinguistic-calibration-reward-model-forecastprobs-wdiffLlama2_Time_series_forecasting_2.0Llama2_Time_series_forecasting_3.0Llama2_Time_series_forecasting_6.0Llama3-80b-Time-Forecastingpatchtst-cross-sectional-return-forecastflan-t5-small-Forecastt5-efficient-small-usdjpy-forecaster-sftflan-t5-base-ForecastCL_forecasting_foundation_modelFLANT-5_Model_Forecasting2t5-efficient-base-usdjpy-forecasterno_position_embedding_prompt_tuning_attention_forecasting_long_ETTm2no_position_embedding_prompt_tuning_linear_forecasting_long_ETTm1no_position_embedding_prompt_tuning_linear_forecasting_long_ETTm2no_position_embedding_prompt_tuning_linear_forecasting_long_ETTh1no_position_embedding_prompt_tuning_linear_forecasting_long_ETTh2fingpt-llama2-7b-forecaster-finetunedno_position_embedding_prompt_tuning_attention_forecasting_long_ETTh1