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I am attempting to pre-train OLMo on new data. I have tokenized these files using the OLMo tokenizer, resulting in millions of small npy files.
You merge your tokens into large parts. How? When I do this by naively concatenating npy files together, it results in nasty CUDA device-side assertions being thrown.
Is there a proper way to introduce new data for pre-training?
The text was updated successfully, but these errors were encountered:
❓ The question
I am attempting to pre-train OLMo on new data. I have tokenized these files using the OLMo tokenizer, resulting in millions of small npy files.
You merge your tokens into large parts. How? When I do this by naively concatenating npy files together, it results in nasty CUDA device-side assertions being thrown.
Is there a proper way to introduce new data for pre-training?
The text was updated successfully, but these errors were encountered: