Mental-Health-FineTuned-Mistral-7B Open-Source Mental Health Counseling Model - Multi-Quantized Versions for On-Demand Deployment

Mental Health FineTuned Mistral 7B Instruct V0.2 I1 GGUF

Developed by mradermacher

This is a mental health counseling dialogue model fine-tuned based on the Mistral-7B-Instruct-v0.2 model, offering multiple quantized versions to suit different needs.

Large Language Model EnglishOpen Source License:Apache-2.0 #Mental health dialogue generation #Low-resource quantized models #GGUF efficient inference

Downloads 501

Release Time : 12/27/2024

Model Overview

The model specializes in the field of mental health counseling, optimizing the generation of psychological counseling dialogues through fine-tuning the Mistral-7B model.

Model Features

Multiple quantized versions

Offers various quantized versions ranging from 1.7GB to 6.0GB to meet usage needs under different hardware conditions.

Optimized for mental health

Specifically fine-tuned for mental health counseling dialogues, making it more suitable for psychological counseling scenarios.

Efficient inference

Optimizes model size and inference speed through quantization techniques while maintaining good generation quality.

Model Capabilities

Psychological counseling dialogue generation

Mental health-related text generation

Emotional support dialogue

Use Cases

Mental health services

Psychological counseling chatbot

Used to build mental health counseling chatbots, providing initial psychological support and guidance.

Mental health education

Generates mental health-related knowledge content for public education and awareness.

🚀 Mental-Health-FineTuned-Mistral-7B-Instruct-v0.2 Quantized Model

This project provides quantized versions of the Mental-Health-FineTuned-Mistral-7B-Instruct-v0.2 model, offering various options for different usage scenarios.

📚 Documentation

Model Information

Property	Details
Base Model	prabureddy/Mental-Health-FineTuned-Mistral-7B-Instruct-v0.2
Datasets	Amod/mental_health_counseling_conversations
Language	en
Library Name	transformers
License	apache-2.0
Quantized By	mradermacher
Tags	autotrain, text-generation-inference, text-generation, peft, generated_from_trainer, mistral, transformers, Inference Endpoints, pytorch

About

Weighted/imatrix quants of https://huggingface.co/prabureddy/Mental-Health-FineTuned-Mistral-7B-Instruct-v0.2.

Static quants are available at https://huggingface.co/mradermacher/Mental-Health-FineTuned-Mistral-7B-Instruct-v0.2-GGUF.

Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Link	Type	Size/GB	Notes
GGUF	i1-IQ1_S	1.7	for the desperate
GGUF	i1-IQ1_M	1.9	mostly desperate
GGUF	i1-IQ2_XXS	2.1
GGUF	i1-IQ2_XS	2.3
GGUF	i1-IQ2_S	2.4
GGUF	i1-IQ2_M	2.6
GGUF	i1-Q2_K_S	2.6	very low quality
GGUF	i1-Q2_K	2.8	IQ3_XXS probably better
GGUF	i1-IQ3_XXS	2.9	lower quality
GGUF	i1-IQ3_XS	3.1
GGUF	i1-Q3_K_S	3.3	IQ3_XS probably better
GGUF	i1-IQ3_S	3.3	beats Q3_K*
GGUF	i1-IQ3_M	3.4
GGUF	i1-Q3_K_M	3.6	IQ3_S probably better
GGUF	i1-Q3_K_L	3.9	IQ3_M probably better
GGUF	i1-IQ4_XS	4.0
GGUF	i1-Q4_0	4.2	fast, low quality
GGUF	i1-IQ4_NL	4.2	prefer IQ4_XS
GGUF	i1-Q4_K_S	4.2	optimal size/speed/quality
GGUF	i1-Q4_K_M	4.5	fast, recommended
GGUF	i1-Q4_1	4.7
GGUF	i1-Q5_K_S	5.1
GGUF	i1-Q5_K_M	5.2
GGUF	i1-Q6_K	6.0	practically like static Q6_K

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.

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