Instructions to use GavinChan1105/Llama-3-8B-sft-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use GavinChan1105/Llama-3-8B-sft-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "GavinChan1105/Llama-3-8B-sft-lora") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from GavinChan1105/Llama-3-8B-sft-lora: direct link, hf CLI and curl.
- Browser
- Download file 54.5 MB
-
https://huggingface.co/GavinChan1105/Llama-3-8B-sft-lora/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://GavinChan1105/Llama-3-8B-sft-lora/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/GavinChan1105/Llama-3-8B-sft-lora/resolve/main/adapter_model.safetensors
54.5 MB
- Xet hash:
- dbe7c1b735eadc9781240a356227742ad9b8f2d29f1ecbd89c447a3f62aeecab
- Size of remote file:
- 54.5 MB
- SHA256:
- eabf52775dfd12eecd083406f4dc682327a6a85284db847ba45bcd9f137522cf
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