GaLore Finetuning Example #10722
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GaLore Finetuning Example #10722
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glorysdj
reviewed
Apr 11, 2024
glorysdj
reviewed
Apr 11, 2024
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| **--repo-id-or-model-path** : default to `meta-llama/Llama-2-7b-hf`, and you can also specify your local model path. | ||
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| **--data-path** : default to `g-ronimo/oasst2_top4k_en`, and you can also specify your local datal path. |
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please check if this dataset is ok to use.
https://github.com/analytics-zoo/nano/issues/1112#issuecomment-1978363264
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change dataset to HuggingFaceH4/helpful_instructions, a chat completion dataset, which is on our white list
glorysdj
reviewed
Apr 11, 2024
| parser.add_argument('--repo-id-or-model-path', type=str, default="meta-llama/Llama-2-7b-chat-hf", | ||
| help='The huggingface repo id for the Llama2 (e.g. `meta-llama/Llama-2-7b-chat-hf` and `meta-llama/Llama-2-13b-chat-hf`) to be downloaded' | ||
| ', or the path to the huggingface checkpoint folder') | ||
| parser.add_argument('--data-path', type=str, default="g-ronimo/oasst2_top4k_en", |
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Description
add an example of new fine-tuning algorithm on IPEX-LLM llama2 7b
#nano
1. Why the change?
as above
2. User API changes
How to Run
3. Summary of the change
GaLore Finetuning Example
4. How to test?
5. New dependencies
galore-torch
trl==0.8.1