Instructions to use Nike-Hanmatheekuna/llama3-8b-sft-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Nike-Hanmatheekuna/llama3-8b-sft-qlora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "Nike-Hanmatheekuna/llama3-8b-sft-qlora") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Nike-Hanmatheekuna/llama3-8b-sft-qlora: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/Nike-Hanmatheekuna/llama3-8b-sft-qlora/resolve/main/training_args.bin
- Command line
-
hf download hf://Nike-Hanmatheekuna/llama3-8b-sft-qlora/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Nike-Hanmatheekuna/llama3-8b-sft-qlora/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- bbe812f43e92495aab08885e7b8c47af3c650ad06bc0ae152dafca27715c7ec6
- Size of remote file:
- 5.05 kB
- SHA256:
- ee7c816d1e565bec6dd51ab2191282866290674a1ffa2eca3804b85f0fae4757
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