Add a logic to support max_batch_size_dpo.#305
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src/together/types/finetune.py
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| class FinetuneFullTrainingLimits(BaseModel): | ||
| max_batch_size: int | ||
| max_batch_size_dpo: int |
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What do you think to make this optional? So we can indenedently publish it?
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You mean making it optional only on the python client side?
I don't understand how this would work.
The API have to return the max_batch_size_dpo in the limits, because it is a required parameter for each model.
Client without this parameter will throw errors I think. I can make it optional for the client, and estimate it if it is not provided by the API, but I think this case is not important because I'm going to update the API at the same time as client.
Do you have any other ideas?
The best solution is to make versioning, but we are far from it.
timofeev1995
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timofeev1995
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thanks! lgtm
if we decide to deploy api first, if changes are made (making the parameter optional) I'd take another look.
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| class FinetuneFullTrainingLimits(BaseModel): | ||
| max_batch_size: int | ||
| max_batch_size_dpo: int = -1 |
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(optional)
I prefer to have int | None rather than == -1, but it still works
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A lot of problems with type check in our code this way
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Have you read the Contributing Guidelines?
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