What are the hardware requirements for Tibetan Llama2 7B Mental Health?

Tibetan Llama2 7B Mental Health requires approximately 13.5 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tibetan Llama2 7B Mental Health and how large is it?

Tibetan Llama2 7B Mental Health is developed by shajiu, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Tibetan Llama2 7B Mental Health?

Tibetan Llama2 7B Mental Health is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tibetan Llama2 7B Mental Health by shajiu — VRAM 13.5GB, 4K context

Name: Tibetan Llama2 7B Mental Health
Author: shajiu

Tibetan Llama2 7B Mental Health is an open-source language model by shajiu. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, License: llama2, LLM Explorer Score: 0.11.

Endpoints compatible Llama Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/shajiu/Tibetan_Llama2_7B_Mental_Health

Tibetan Llama2 7B Mental Health Parameters and Internals

Model Type

dialogue generation, supportive chat

Use Cases

Areas:

Mental Health Support, Tibetan Language Applications

Applications:

Dialogue Systems for Mental Health

Primary Use Cases:

Supporting conversational mental health checks in Tibetan

Limitations:

May not fully understand complex psychological concepts

Additional Notes

This model is a direct fine-tuning of Llama2_7B to support Tibetan language dialogue for mental health-related topics.

Supported Languages

Tibetan (High)

Training Details

Data Sources:

心理健康支持对话相关藏文数据集

Data Volume:

N/A

Methodology:

微调

Context Length:

1000

Hardware Used:

NVIDIA GPUs

Model Architecture:

Llama based architecture

Input Output

Input Format:

Multi-turn dialogue input

Accepted Modalities:

text

Output Format:

Response text

Performance Tips:

Using load_in_4bit can save memory

LLM Name	Tibetan Llama2 7B Mental Health
Repository 🤗	https://huggingface.co/shajiu/Tibetan_Llama2_7B_Mental_Health
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-07-12
Maintainer	shajiu
Model Type	llama
Model Files	10.0 GB: 1-of-2 3.5 GB: 2-of-2
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.30.2
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Tibetan Llama2 7B Mental Health capabilities

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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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Note: green Score (e.g. "73.2") means that the model is better than shajiu/Tibetan_Llama2_7B_Mental_Health.