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:
- 1ca966cd49ec1aa34923d93468afee5c1d6401e6672dd5965fd277c94ac0fc42
- Size of remote file:
- 5 GB
- SHA256:
- 80cb44e15c00fbe7ef3d9ccb38c1dd0fc8bcff99d9498043ed75caffd3c9fecf
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