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---
license: apache-2.0
datasets:
- arafatanam/Student-Mental-Health-Counseling-100K
language:
- en
base_model:
- unsloth/llama-3-8b-Instruct-bnb-4bit
pipeline_tag: text-generation
tags:
- medical
---
# 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](https://huggingface.co/Kush26/Mental_Health_ChatBot/blob/main/model.Q4_K_M.gguf):
---
## Using in LM Studio
Follow these steps to use the model in **LM Studio**:
1. **Install LM Studio**
Download and install LM Studio from [https://lmstudio.ai](https://lmstudio.ai).
2. **Add the Model**
- Open LM Studio.
- Click **"Add Model"** or **"Load Local Model"**.
- Select the downloaded `model.Q4_K_M.gguf` file.
3. **Configure Model Settings**
- Choose appropriate **context length** (e.g., 2048 tokens).
- Enable **GPU acceleration** if available for faster inference.
- Adjust any **sampling parameters** (temperature, top-p) as needed.
4. **Start Chatting**
- Open a new chat session.
- 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.
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