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## Updates
🚩 **News** (May 2024): Time-LLM has been included in [NeuralForecast](https://github.com/Nixtla/neuralforecast). Special thanks to the contributor @[JQGoh](https://https://github.com/JQGoh)!
🚩 **News** (May 2024): Time-LLM has been included in [NeuralForecast](https://github.com/Nixtla/neuralforecast). Special thanks to the contributor @[JQGoh](https://github.com/JQGoh)!
🚩 **News** (March 2024): Time-LLM has been upgraded to serve as a general framework for repurposing a wide range of language models to time series forecasting. It now defaults to supporting Llama-7B and includes compatibility with two additional smaller PLMs (GPT-2 and BERT). Simply adjust `--llm_model` and `--llm_dim` to switch backbones.