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
File size: 349 Bytes
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"epoch": 3.0,
"eval_loss": 0.02663903683423996,
"eval_runtime": 276.1986,
"eval_samples_per_second": 17.697,
"eval_steps_per_second": 0.141,
"total_flos": 4.432857893200462e+18,
"train_loss": 0.4512600473944069,
"train_runtime": 28077.9211,
"train_samples_per_second": 4.7,
"train_steps_per_second": 0.005
} |