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Phi 3 Mental Health Q4 by chillies

 »  All LLMs  »  chillies  »  Phi 3 Mental Health Q4   URL Share it on

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  Conversational   Endpoints compatible   Gguf   Mistral   Q4   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/chillies/phi-3-mental-health-q4 

Phi 3 Mental Health Q4 Benchmarks

LLME Score: 0.18677
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 3 Mental Health Q4 (chillies/phi-3-mental-health-q4)

Phi 3 Mental Health Q4 Parameters and Internals

Model Type 
text generation, conversational AI
Use Cases 
Areas:
mental health support
Primary Use Cases:
assist in mental health support, providing empathetic and knowledgeable responses
Limitations:
not suitable for providing critical mental health interventions, biases present in the training data could affect responses
Additional Notes 
Model designed to assist in mental health support by providing empathetic conversations.
Training Details 
Data Sources:
mental health therapist conversational data
Methodology:
fine-tuning
Input Output 
Input Format:
Include user's input and system prompt for conversational interaction
Accepted Modalities:
text
Output Format:
empathetic responses to user queries
LLM NamePhi 3 Mental Health Q4
Repository 🤗https://huggingface.co/chillies/phi-3-mental-health-q4 
Required VRAM2.3 GB
Updated2025-02-17
Maintainerchillies
Model Typemistral
Model Files  2.3 GB
GGUF QuantizationYes
Quantization Typegguf|q4
Model ArchitectureAutoModel

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Note: green Score (e.g. "73.2") means that the model is better than chillies/phi-3-mental-health-q4.

Rank the Phi 3 Mental Health Q4 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241227
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