初始化项目，由ModelHub XC社区提供模型

Model: mims-harvard/bio-posttrain-qwen3-4b-cpt
Source: Original Platform

README.md

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+---
+license: apache-2.0
+base_model: Qwen/Qwen3-4B
+tags:
+  - biology
+  - bio-posttrain
+  - cpt
+library_name: transformers
+---
+
+# Bio-posttrain Qwen3-4B CPT
+
+Continued pre-training (CPT) checkpoint from [How Post-Training Shapes Biological Reasoning Models](https://huggingface.co/collections/mims-harvard/bio-posttrain).
+
+## Model details
+
+- **Base model:** `Qwen/Qwen3-4B`
+- **Stage:** CPT (text-only omics corpus)
+- **Training:** lr=1e-5, gradient accumulation=64, final CPT checkpoint
+
+## Usage
+
+```python
+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](https://huggingface.co/collections/mims-harvard/bio-posttrain) collection on Hugging Face.
+
+## Citation
+
+```bibtex
+@article{bio_posttrain_2026,
+  title={How Post-Training Shapes Biological Reasoning Models},
+  author={...},
+  year={2026}
+}
+```