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Mental Alpaca by NEU-HAI

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Mental Alpaca is an open-source language model by NEU-HAI. Features: 6.7b LLM, VRAM: 27GB, Context: 2K, License: cc-by-nc-4.0, Fine-Tuned, LLM Explorer Score: 0.15, Arc: 28.6, HellaSwag: 26, MMLU: 27.

  Arxiv:2307.14385   Alpaca   Deploy:azure   En   Endpoints compatible   Finetuned   Llama   Mental   Mental health   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/NEU-HAI/mental-alpaca 

Mental Alpaca Benchmarks

ARC: 28.58 vs 96.7 (so35)-70.4%
HellaSwag: 26.02 vs 95.3 (gpt4)-72.7%
MMLU: 27.04 vs 88.3 (so35)-69.4%
LLME Score: 0.14592
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mental Alpaca (NEU-HAI/mental-alpaca)
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Mental Alpaca Parameters and Internals

Model Type 
Sequence-to-sequence, Text-generation
Use Cases 
Primary Use Cases:
mental health prediction via online text data
Considerations:
The use of this model should comply with the restrictions from the stanford_alpaca project and Llama-2-7b.
Supported Languages 
English (NLP)
Training Details 
Data Sources:
Dreaddit, DepSeverity, SDCNL, CCRS-Suicide
LLM NameMental Alpaca
Repository 🤗https://huggingface.co/NEU-HAI/mental-alpaca 
Model Size6.7b
Required VRAM27 GB
Updated2026-05-19
MaintainerNEU-HAI
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   7.2 GB: 3-of-3   9.9 GB: 1-of-3   9.9 GB: 2-of-3   7.2 GB: 3-of-3
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length2048
Model Max Length2048
Transformers Version4.28.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32001
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than NEU-HAI/mental-alpaca.

Rank the Mental Alpaca 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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