CoolFace
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Kush26/Mental_Health_ChatBot

sourceHugging Faceapache-2.0updated 9mo agoView on Hugging Face
1likes95downloads
Model Card

Fine-Tuned LLaMA-3 8B Mental Health Conversational Model

Model Overview

This is a fine-tuned version of LLaMA-3 8B Instruct, specifically adapted for conversational mental health support. The model has been fine-tuned using LoRA / QLoRA techniques and quantized to 4-bit for efficient inference. It is ideal for applications requiring lightweight deployment without compromising the quality of responses.

  • —Base Model: LLaMA-3 8B Instruct
  • —Fine-Tuning: Mental health conversational dataset
  • —Technique: LoRA / QLoRA
  • —Quantization: 4-bit (GGUF)
  • —File Format: model.Q4_K_M.gguf

This model is optimized for generating empathetic, safe, and context-aware responses for mental health conversations. It is intended for research, personal, or educational use.


How to Download

You can download the model using this link:


Using in LM Studio

Follow these steps to use the model in LM Studio:

  1. 1.Install LM Studio Download and install LM Studio from https://lmstudio.ai.
  1. 1.Add the Model
  2. 2.Open LM Studio.
  3. 3.Click "Add Model" or "Load Local Model".
  4. 4.Select the downloaded model.Q4_K_M.gguf file.
  1. 1.Configure Model Settings
  2. 2.Choose appropriate context length (e.g., 2048 tokens).
  3. 3.Enable GPU acceleration if available for faster inference.
  4. 4.Adjust any sampling parameters (temperature, top-p) as needed.
  1. 1.Start Chatting
  2. 2.Open a new chat session.
  3. 3.Interact with the model for mental health conversations or research purposes.

Notes

  • —This model is not a substitute for professional mental health care.
  • —Use responsibly and ensure privacy when handling sensitive conversations.
  • —Compatible with LM Studio version 1.9 and above.