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:
- 647e2e3e46a0da26bf4de568ef0bdce8fbd4d1757ab2854dd015f5740becd8be
- Size of remote file:
- 5 GB
- SHA256:
- e52db9f1386dff4474e22be3a2b2dfd00f2aa263a47206aeb977ff72fbf4e081
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