Instructions to use dhmeltzer/Llama-2-7b-hf-eli5-cleaned-1024_qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dhmeltzer/Llama-2-7b-hf-eli5-cleaned-1024_qlora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "dhmeltzer/Llama-2-7b-hf-eli5-cleaned-1024_qlora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 92576736123e518af8d84ebd286e26e33af8ce1bd99c7fa72e538a130612ad7a
- Size of remote file:
- 640 MB
- SHA256:
- 01a5321c743a9d036eab925d0577486b39d910eb07c830b4b74be79914b4be12
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