LoRA finetuning tutorial #671
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michaelbenayoun
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michaelbenayoun
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JingyaHuang,
dacorvo,
pagezyhf and
philschmid
JingyaHuang
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Sep 17, 2024
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| To overcome this, we added a [model cache repository](https://huggingface.co/docs/optimum-neuron/guides/cache_system), which allows us to use precompiled models from the Hugging Face Hub to skip the compilation step. But be careful: every change in the model configuration might lead to a new compilation, which could result in some cache misses. | ||
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| _Note: If your model configuration is not cached please open an issue on [Github](https://github.com/huggingface/optimum-neuron/issues), we are happy to include it._ |
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We shall guide to the cache repo on the hub or not?
philschmid
approved these changes
Sep 17, 2024
| @@ -14,6 +14,8 @@ | |||
| title: Fine-tune BERT for Text Classification on AWS Trainium | |||
| - local: training_tutorials/finetune_llm | |||
| title: Fine-tune Llama 3 8B on AWS Trainium | |||
| - local: training_tutorials/sft_lora_finetune_llm | |||
| title: Fine-tune Llama 3 8B on with LoRA and the SFTTrainer | |||
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Suggested change
| title: Fine-tune Llama 3 8B on with LoRA and the SFTTrainer | |
| title: Fine-tune Llama 3.1 8B with LoRA and the SFTTrainer |
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I think we could not do for the rope thing? Or for the transformers version.
Let's keep it like that. In any case we will move to 70B asap, and I can try to do 3.1 then.
JingyaHuang
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Sep 18, 2024
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LGTM!
(Don't worry about failing inf2 CIs, they will be fixed via #691.
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