1.1 KiB
1.1 KiB
license, base_model, tags, library_name
| license | base_model | tags | library_name | |||
|---|---|---|---|---|---|---|
| apache-2.0 | Qwen/Qwen3-4B |
|
transformers |
Bio-posttrain Qwen3-4B CPT
Continued pre-training (CPT) checkpoint from How Post-Training Shapes Biological Reasoning Models.
Model details
- Base model:
Qwen/Qwen3-4B - Stage: CPT (text-only omics corpus)
- Training: lr=1e-5, gradient accumulation=64, final CPT checkpoint
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("mims-harvard/bio-posttrain-qwen3-4b-cpt", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("mims-harvard/bio-posttrain-qwen3-4b-cpt", trust_remote_code=True)
Collection
Part of the Bio-posttrain collection on Hugging Face.
Citation
@article{bio_posttrain_2026,
title={How Post-Training Shapes Biological Reasoning Models},
author={...},
year={2026}
}