What are the hardware requirements for UI Testjev?

UI Testjev requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed UI Testjev and how large is it?

UI Testjev is developed by Shelter, a model with 26b 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 UI Testjev?

UI Testjev is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

UI Testjev by Shelter — VRAM 0.1GB

Name: UI Testjev
Author: Shelter

UI Testjev is an open-source language model by Shelter. Features: 26b LLM, VRAM: 0.1GB, License: apache-2.0, LLM Explorer Score: 0.28.

Accessibility Adapter Base model:adapter:google/diff... Base model:google/diffusiongem... Conversational Custom-inference Dataset:shelter/ui-testjev-dat... Diffusion-gemma En Finetuned Image-text-to-text Lora Peft Region:us Safetensors Ui-testing Visual-regression

Model Card on HF 🤗: https://huggingface.co/Shelter/UI-testjev

UI Testjev Parameters and Internals

LLM Name	UI Testjev
Repository 🤗	https://huggingface.co/Shelter/UI-testjev
Base Model(s)	Diffusiongemma 26B A4B It google/diffusiongemma-26B-A4B-it
Model Size	26b
Required VRAM	0.1 GB
Updated	2026-10-01
Maintainer	Shelter
Model Files	0.1 GB
Supported Languages	en
Model Architecture	Adapter
License	apache-2.0
Is Biased	none
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	m\|o\|d\|e\|l\|\\|.\|d\|e\|c\|o\|d\|e\|r\|\\|.\|l\|a\|y\|e\|r\|s\|\\|.\|\\|d\|+\|\\|.\|(\|s\|e\|l\|f\|_\|a\|t\|t\|n\|\\|.\|(\|q\|_\|p\|r\|o\|j\|\|\|k\|_\|p\|r\|o\|j\|\|\|v\|_\|p\|r\|o\|j\|\|\|o\|_\|p\|r\|o\|j\|)\|\|\|m\|l\|p\|\\|.\|(\|g\|a\|t\|e\|_\|p\|r\|o\|j\|\|\|u\|p\|_\|p\|r\|o\|j\|\|\|d\|o\|w\|n\|_\|p\|r\|o\|j\|)\|)
LoRA Alpha	64
LoRA Dropout	0.05
R Param	32

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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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