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