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Vinallama Mental Health Q4 by chillies

 »  All LLMs  »  chillies  »  Vinallama Mental Health Q4   URL Share it on

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Base model:quantized:vilm/vina... Base model:vilm/vinallama-2.7b...   En   Endpoints compatible   Gguf   Llama   Q4   Quantized   Region:us   Unsloth
Model Card on HF 🤗: https://huggingface.co/chillies/vinallama-mental-health-q4 

Vinallama Mental Health Q4 Benchmarks

LLME Score: 0.18816
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vinallama Mental Health Q4 (chillies/vinallama-mental-health-q4)

Vinallama Mental Health Q4 Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
Training Details 
Methodology:
This llama model was trained 2x faster using Unsloth and Huggingface's TRL library.
LLM NameVinallama Mental Health Q4
Repository 🤗https://huggingface.co/chillies/vinallama-mental-health-q4 
Base Model(s)  vilm/vinallama-2.7b-chat   vilm/vinallama-2.7b-chat
Model Size2.7b
Required VRAM1.7 GB
Updated2025-02-22
Maintainerchillies
Model Typellama
Model Files  1.7 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|q4
Model ArchitectureAutoModel
Licenseapache-2.0

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

Rank the Vinallama 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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