---
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