Instructions to use hiyouga/Llama-2-70b-AQLM-2Bit-QLoRA-function-calling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hiyouga/Llama-2-70b-AQLM-2Bit-QLoRA-function-calling with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("BlackSamorez/Llama-2-70b-AQLM-2Bit-1x16-hf") model = PeftModel.from_pretrained(base_model, "hiyouga/Llama-2-70b-AQLM-2Bit-QLoRA-function-calling") - Notebooks
- Google Colab
- Kaggle
Download examples.png from hiyouga/Llama-2-70b-AQLM-2Bit-QLoRA-function-calling: direct link, hf CLI and curl.
- Browser
- Download file 85.3 kB
-
https://huggingface.co/hiyouga/Llama-2-70b-AQLM-2Bit-QLoRA-function-calling/resolve/main/examples.png
- Command line
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hf download hf://hiyouga/Llama-2-70b-AQLM-2Bit-QLoRA-function-calling/examples.png
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curl -L -o examples.png https://huggingface.co/hiyouga/Llama-2-70b-AQLM-2Bit-QLoRA-function-calling/resolve/main/examples.png
85.3 kB
