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Add basic documentation pages #988
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Also fixes capitalization in the checkpointing document.
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Some early reviews.
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## In-depth documentation | ||
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You can find in-depth documentation at [the MaxText GitHub repository](https://github.com/AI-Hypercomputer/maxtext/blob/main/docs/advanced_docs/). |
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This link is broken.
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Yes, these links (all that refer to docs/advanced_docs) will become true once this reorganization of the documentation is merged.
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# Full Finetuninhg LLama2/LLama3 Optimized configuration | |||
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In the pre-training section you saw the steps on how to do pre-training with |
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Need to rewrite this as we do not have the pre-training section missing.
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[^1]: Tf.data is the most performant way of loading large scale datasets. | ||
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You can read more about the pipelines in [Data Input Pipeline](https://github.com/AI-Hypercompute/maxtext/blob/main/docs/advanced_docs/Data_Input_Pipeline.md). |
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The link seems broken - https://github.com/AI-Hypercomputer/maxtext/blob/main/getting_started/Data_Input_Pipeline.md
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Same as above, this will be fixed once the PR is merged.
In the pre-training section you saw the steps on how to do pre-training with | ||
MaxText. To perform full fine tuning, you need to pass the checkpoint to the | ||
training script. |
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@shivajid how about:
In the pre-training section you saw the steps on how to do pre-training with | |
MaxText. To perform full fine tuning, you need to pass the checkpoint to the | |
training script. | |
MaxText can perform pre-training and full finetuning. To perform full fine tuning, you need to pass the checkpoint to the training script. |
Adds an initial set up of documentation pages for MaxText, including a
.readthedocs.yaml
file. The project will need to be set up on the ReadTheDocs admin interface separately by the maintainers.