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After reading the API, I believe I cannot do post-training model compression, as for example I would do with a model implemented in Keras, where I would have access to each and every layer of the model - which I understand why this is the case.
So, I would like to ask if, in the spirit of Google Gemini, TimeGPT has (or plans to) have a Nano version? For example Gemini has Ultra, Pro and Nano versions.
The text was updated successfully, but these errors were encountered:
After reading the API, I believe I cannot do post-training model compression, as for example I would do with a model implemented in Keras, where I would have access to each and every layer of the model - which I understand why this is the case.
So, I would like to ask if, in the spirit of Google Gemini, TimeGPT has (or plans to) have a Nano version? For example Gemini has Ultra, Pro and Nano versions.
The text was updated successfully, but these errors were encountered: