MelloGPT

NOTE: This model should not be regarded as a replacement for professional mental health assistance. It is essential to seek support from qualified professionals for personalized and appropriate care.

A fine tuned version of Mistral-7B-Instruct-v0.1 on counsel-chat dataset for mental health counseling conversations.

Motivation

In an era where mental health support is of paramount importance, A large language model fine-tuned on mental health counseling conversations stands as a pioneering solution. Leveraging a diverse dataset of anonymized counseling sessions, the model has been trained to recognize and respond to a wide range of mental health concerns. The fine-tuning process incorporates ethical considerations, privacy concerns, and sensitivity to the nuances of mental health conversations. The resulting model will demonstrate an intricate understanding of mental health issues and provide empathetic and supportive responses.

Prompt Template

<s>[INST] {prompt} [/INST]

Quantized Model

The quantized model can be found here. Thanks to @TheBloke.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	57.59
AI2 Reasoning Challenge (25-Shot)	53.84
HellaSwag (10-Shot)	76.12
MMLU (5-Shot)	55.99
TruthfulQA (0-shot)	55.61
Winogrande (5-shot)	73.88
GSM8k (5-shot)	30.10

Contributions

This project is open for contributions. Feel free to use the community tab.

Inspiration

This project was inspired by the project(s) listed below:

companion_cube by @KnutJaegersberg

Credits

This is my first attempt at fine-tuning a large language model. It wouldn't be possible without Axolotl and Runpod. The axolotl config file can be found here.