---

license: mit

datasets:

• mrs83/kurtis_mental_health_final

language:

• en

base_model:

• HuggingFaceTB/SmolLM2-360M-Instruct

pipeline_tag: text-generation

---

Model Card for Model ID

> [!WARNING]

> This repository contains experimental models designed strictly for academic evaluation and research purposes.

>

> Critical Constraints:

> * No Production Deployment: Experimental models must not be deployed in commercial, enterprise, or mission-critical environments under any circumstances.

> * No Liability: Experimental models are provided "as-is" without warranties of any kind. The developers assume zero liability for downstream consequences, system integration failures, or regulatory non-compliance resulting from unauthorized deployment.

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 [optional]: HuggingFaceTB/SmolLM2-360M-Instruct

Model Sources

• Repository: 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

ollama run hf.co/mrs83/Kurtis-SmolLM2-360M-Instruct-GGUF