|
--- |
|
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 |
