Instructions to use SamJoshua/llama2-qlora-orca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SamJoshua/llama2-qlora-orca with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyPixel/Llama-2-7B-bf16-sharded") model = PeftModel.from_pretrained(base_model, "SamJoshua/llama2-qlora-orca") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from SamJoshua/llama2-qlora-orca: direct link, hf CLI and curl.
- Browser
- Download file 134 MB
-
https://huggingface.co/SamJoshua/llama2-qlora-orca/resolve/main/adapter_model.bin
- Command line
-
hf download hf://SamJoshua/llama2-qlora-orca/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/SamJoshua/llama2-qlora-orca/resolve/main/adapter_model.bin
134 MB
- Xet hash:
- 8dce03accc711e5464c933f255fc7d515610bbb6137aef248e4b6395a3cfc6dc
- Size of remote file:
- 134 MB
- SHA256:
- 08d55137372be9490d888386ed1a1a355238d3712f117798de48546a1033fa10
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