Instructions to use kmd2525/qwen3-4b-structured-output-lora-v13.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kmd2525/qwen3-4b-structured-output-lora-v13.0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "kmd2525/qwen3-4b-structured-output-lora-v13.0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a4cd7a95f25d1bdbc64e7b92e660ea82da3a2a592e64ed721b641297a832752
- Size of remote file:
- 529 MB
- SHA256:
- 21b431336a2cc94266b1d38ab02eeec1327341a0a56554f40613189b1955915d
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