Instructions to use lightsource/final-lora-qwen32b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lightsource/final-lora-qwen32b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-32B-Instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "lightsource/final-lora-qwen32b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b342edfc83bb925bad34705c6ef4f6a0f4f7b6b1c9bc186222acafaf8628858
- Size of remote file:
- 1.09 GB
- SHA256:
- 8b42ec047dd22a68522c0cfa8520161e36e266360e327c28105d9714f5ddb6da
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