Instructions to use kaitchup/Qwen2.5-72B-Instruct-QLoRA-Adapter-Test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kaitchup/Qwen2.5-72B-Instruct-QLoRA-Adapter-Test with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-72B-Instruct") model = PeftModel.from_pretrained(base_model, "kaitchup/Qwen2.5-72B-Instruct-QLoRA-Adapter-Test") - Notebooks
- Google Colab
- Kaggle
This is an adapter fine-tuned with QLoRA on top of Qwen2.5 72B Instruct quantized with bitsandbytes. It should only be used for testing QLoRA/LoRA. It has been fine-tuned only for 10 training steps.
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