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--- |
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tags: |
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- lora |
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- peft |
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- adapters |
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- mistral |
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- biomedical |
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library_name: peft |
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pipeline_tag: text-classification |
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license: apache-2.0 |
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base_model: mistralai/Mistral-7B-Instruct-v0.3 |
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model-index: |
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- name: MetappuccinoLLModel v1.0.0 |
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results: [] |
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--- |
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# MetappuccinoLLModel — Per-category LoRA adapters for SRA metadata extraction |
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**LoRA adapters (one folder per category)** trained for **SRA metadata extraction and inference** in the [Metappuccino project](https://github.com/chumphati/Metappuccino). These adapters not general-purpose dialogue models. |
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**Important**: Base model weights are **not included**. Also download the official base model: `mistralai/Mistral-7B-Instruct-v0.3` to use Metappuccino. |
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### Version |
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v1.0.0 |
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### Quickstart |
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Download for Metappuccino use: |
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```python |
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from huggingface_hub import snapshot_download |
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snapshot_download( |
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repo_id="chumphati/MetappuccinoLLModel", |
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local_dir="<OUT_DIR_URL>/MetappuccinoLLModel", #path to the output directory |
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resume_download=True, |
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max_workers=4 |
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) |
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``` |
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### Hyperparameters |
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All information about the hyperparameters is provided for each adapter in its respective folder, in the adapter_config.json files. |
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### How to cite |
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If you use this repository in your work, please cite: |
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Related tool: Metappuccino — https://github.com/chumphati/Metappuccino |
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