Instructions to use layoric/llama-2-13b-code-alpaca-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use layoric/llama-2-13b-code-alpaca-qlora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-13b-hf") model = PeftModel.from_pretrained(base_model, "layoric/llama-2-13b-code-alpaca-qlora") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from layoric/llama-2-13b-code-alpaca-qlora: direct link, hf CLI and curl.
- Browser
- Download file 501 MB
-
https://huggingface.co/layoric/llama-2-13b-code-alpaca-qlora/resolve/main/adapter_model.bin
- Command line
-
hf download hf://layoric/llama-2-13b-code-alpaca-qlora/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/layoric/llama-2-13b-code-alpaca-qlora/resolve/main/adapter_model.bin
501 MB
- Xet hash:
- 1ed786ff788abc0ec46d110b21d35b7a9aa0013c33f48c5b977887367b79d44f
- Size of remote file:
- 501 MB
- SHA256:
- 84bade659f67030c5426639e53df13907c12fecbc869e0dc73afd9fc98d35a16
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