Instructions to use airesearch/Qwen3-30B-A3B-medqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use airesearch/Qwen3-30B-A3B-medqa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/project/lt200252-wcbart/pumet/models/Qwen3-30B-A3B") model = PeftModel.from_pretrained(base_model, "airesearch/Qwen3-30B-A3B-medqa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24ff554f459df0623cade4ee1160775ccd0d38c0f2b6ab39c51b2a0f85eeff42
- Size of remote file:
- 5 GB
- SHA256:
- 615ace6b97eb1f1fbd21b57817d0cdce62f0a1db9527479a8dca70f7c5550f12
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