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:
- 8be4504dcf614cdadc8545efb625d7bfff01bddaccd6bc65816f35934e352c28
- Size of remote file:
- 5.37 kB
- SHA256:
- 7e7636a1ee715548d281a8f6754b6656f2a7ba296b6a75bd894a68cc20387937
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