Instructions to use shouray/qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shouray/qlora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/Llama-2-13B-chat-GPTQ") model = PeftModel.from_pretrained(base_model, "shouray/qlora") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from shouray/qlora: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/shouray/qlora/resolve/main/training_args.bin
- Command line
-
hf download hf://shouray/qlora/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/shouray/qlora/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 53d88d1d822769260d08d4dd828236b3acd9ff17ebfdbfc9e2892806418e10b5
- Size of remote file:
- 5.11 kB
- SHA256:
- 1b381e15e59d6da5795cafb71e3b8c1b0aec8cb6221559305809553e459ae785
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