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---
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
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