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