Update README.md

README.md

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+
+# Model Card for Model ID
+
+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](https://github.com/mrs83/kurtis)
+
+## Uses
+
+The model is intended for use in a conversational setting, particularly in mental health and therapeutic support scenarios. 
+
+Suitable use cases include:
+
+- Evaluating the usage of small-language models (SLMs).
+- Evaluating small-language models (SLMs) capability to generate empathetic responses in a mental-health context.
+
+### 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. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
 ```
 ollama run hf.co/mrs83/Kurtis-SmolLM2-360M-Instruct-GGUF
 ```