---
library_name: transformers
tags:
- text-generation-inference
- SmolLM2
license: mit
datasets:
- mrs83/kurtis_mental_health_final
language:
- en
base_model:
- HuggingFaceTB/SmolLM2-360M-Instruct
pipeline_tag: text-generation
---

# Model Card for Kurtis-SmolLM2-360M-Instruct

This model has been fine-tuned using Kurtis, an experimental fine-tuning, inference and evaluation tool for Small Language Models.

## Model Details

### Model Description

- **Developed by:** Massimo R. Scamarcia <massimo.scamarcia@gmail.com>
- **Funded by:** Massimo R. Scamarcia <massimo.scamarcia@gmail.com> - (self-funded)
- **Shared by:** Massimo R. Scamarcia <massimo.scamarcia@gmail.com>
- **Model type:** Transformer decoder
- **Language(s) (NLP):** English
- **License:** MIT
- **Finetuned from model:** HuggingFaceTB/SmolLM2-360M-Instruct

### Model Sources

- **Repository:** [https://github.com/mrs83/kurtis](https://github.com/mrs83/kurtis)

## Uses

The model is intended for use in a conversational setting, particularly in mental health and therapeutic support scenarios.

### Direct Use

Not suitable for production usage.

### Out-of-Scope Use

This model should not be used for:

- Making critical mental health decisions or diagnoses.
- Replacing professional mental health services.
- Applications where responses require regulatory compliance or are highly sensitive.
- Generating responses without human supervision, especially in contexts that involve vulnerable individuals.

## Bias, Risks, and Limitations

Misuse of this dataset could lead to providing inappropriate or harmful responses, so it should not be deployed without proper safeguards in place.

### Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model.

## How to Get Started with the Model

WIP