Instructions to use pgsyttch/qwen3-4b-lora-adapter-2-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use pgsyttch/qwen3-4b-lora-adapter-2-v1 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, "pgsyttch/qwen3-4b-lora-adapter-2-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bed4703955bce8bddfbd8bfda1741bfefa8fb8e392a028d7e71a5e2ed7ecf97c
- Size of remote file:
- 529 MB
- SHA256:
- 7cae74b5a797b9c3e359561e73061b53298ac70c8167675ee58ccf181f08e339
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