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docs/source/JAX_for_LLM_pretraining.ipynb

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"height": 799
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},
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"id": "-uTeXvXaLCZb",
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"outputId": "aa52154f-9583-46d3-896a-05e28de603de"
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"outputId": "aa52154f-9583-46d3-896a-05e28de603de",
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"tags": [
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"nbval-ignore-output"
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]
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},
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"outputs": [
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{
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "3813cbf2",
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"tags": [
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"nbval-ignore-output"
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]
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"id": "3813cbf2"
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},
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"source": [
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"## Xprof: profiling for hyperparameter tuning\n",

docs/source/JAX_for_LLM_pretraining.md

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height: 799
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id: -uTeXvXaLCZb
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outputId: aa52154f-9583-46d3-896a-05e28de603de
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tags: [nbval-ignore-output]
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---
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# Generate text with LoRA-finetuned model
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print("Generating text after LoRA finetuning:\n\n")
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lora_model.generate_text(maxlen, start_tokens)
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```
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## Xprof: profiling for hyperparameter tuning
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