Instructions to use airesearch/Qwen3-30B-A3B-Base-medqa-seed-42 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use airesearch/Qwen3-30B-A3B-Base-medqa-seed-42 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/project/lt200252-wcbart/pumet/models/Qwen3-30B-A3B-Base") model = PeftModel.from_pretrained(base_model, "airesearch/Qwen3-30B-A3B-Base-medqa-seed-42") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64026eba3f61aa0461b1cad183ee30d2942506b5f49d66e7b7688bf97ca02368
- Size of remote file:
- 5 GB
- SHA256:
- 6516380949daeefca2f9103d3cd802b2c8aa79ebf23f72cbaf329ecf01d22399
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