Upload README.md

README.md

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+---
+license: llama3.1
+base_model: meta-llama/Llama-3.1-8B-Instruct
+library_name: transformers
+tags:
+  - drug-combination
+  - relation-extraction
+  - biomedical
+  - llama
+  - chain-of-thought
+---
+
+# RexDrug-Base
+
+This is the SFT (Supervised Fine-Tuning) base model for **RexDrug**, a chain-of-thought reasoning model for biomedical drug combination relation extraction.
+
+## Model Details
+
+- **Base architecture**: [Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct)
+- **Fine-tuning method**: SFT with LoRA (merged)
+- **Task**: Drug combination relation extraction from biomedical literature
+- **Relation types**: POS (beneficial), NEG (harmful), COMB (neutral/mixed), NO_COMB (no combination)
+
+## Usage
+
+This model is intended to be used with the [RexDrug-adapter](https://huggingface.co/dlutIR/RexDrug-adapter) (LoRA adapter trained via GRPO). See the adapter repository for the full quick start guide.
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+from peft import PeftModel
+import torch
+
+model = AutoModelForCausalLM.from_pretrained(
+    "dlutIR/RexDrug-base",
+    torch_dtype=torch.bfloat16,
+    device_map="auto",
+)
+model = PeftModel.from_pretrained(model, "dlutIR/RexDrug-adapter")
+```
+
+## License
+
+This model is built upon Llama 3.1 and is subject to the [Llama 3.1 Community License Agreement](https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/LICENSE).