What are the hardware requirements for Mental Alpaca?

Mental Alpaca requires approximately 27 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mental Alpaca and how large is it?

Mental Alpaca is developed by NEU-HAI, a model with 6.7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Mental Alpaca perform on standard benchmarks?

Mental Alpaca has the following published scores: MMLU 27.04. Compare against reference models on this page or on the LLM Explorer leaderboards.

Mental Alpaca by NEU-HAI — VRAM 27GB, 2K context

Name: Mental Alpaca
Author: NEU-HAI

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: 0.13, 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 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 Name	Mental Alpaca
Repository 🤗	https://huggingface.co/NEU-HAI/mental-alpaca
Model Size	6.7b
Required VRAM	27 GB
Updated	2026-08-04
Maintainer	NEU-HAI
Model Type	llama
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 Languages	en
Model Architecture	LlamaForCausalLM
License	cc-by-nc-4.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.28.1
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32001
Torch Data Type	float32

Rank the Mental Alpaca capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Mental Alpaca

Best Alternatives	Context / RAM	Downloads	Likes
Gptnoise37	128K / 13.5 GB	67	0
...Deepseek Coder 6.7B Energy Sft	16K / 13.5 GB	261	0
Deepseek Coder 6.7B Base	16K / 13.5 GB	54216	124
Speechless Coder Ds 6.7B	16K / 13.5 GB	459	7
OpenCodeInterpreter DS 6.7B	16K / 13.5 GB	20040	135
...s Coder6.7b Reflct Adamw Iter2	16K / 13.5 GB	480	0
...ir8 Ds Coder6.7b Rmsprop Iter4	16K / 13.5 GB	183	0
...s Coder6.7b Reflct Adamw Iter1	16K / 13.5 GB	475	0
...ir8 Ds Coder6.7b Rmsprop Iter2	16K / 13.5 GB	183	0
...ir8 Ds Coder6.7b Rmsprop Iter3	16K / 13.5 GB	165	0

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