Instructions to use philschmid/llama3-fsdp-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use philschmid/llama3-fsdp-qlora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-70b") model = PeftModel.from_pretrained(base_model, "philschmid/llama3-fsdp-qlora") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from philschmid/llama3-fsdp-qlora: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/philschmid/llama3-fsdp-qlora/resolve/main/training_args.bin
- Command line
-
hf download hf://philschmid/llama3-fsdp-qlora/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/philschmid/llama3-fsdp-qlora/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 156da06d5b2e1a7da878153043a607f167cc9f456348597ed4178ae935525b86
- Size of remote file:
- 5.24 kB
- SHA256:
- 2b574914b9afb397053b3f3922d048be92e86e336c2271484def9f0cb6e36a17
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