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---
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 <[email protected]>
- **Funded by:** Massimo R. Scamarcia <[email protected]> - (self-funded)
- **Shared by:** Massimo R. Scamarcia <[email protected]>
- **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 |