What are the hardware requirements for Visual Jev 4B Answer Sft?

Visual Jev 4B Answer Sft requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Visual Jev 4B Answer Sft and how large is it?

Visual Jev 4B Answer Sft is developed by guanxuyu, a model with 4b 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 Visual Jev 4B Answer Sft?

Visual Jev 4B Answer Sft is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Visual Jev 4B Answer Sft by guanxuyu — VRAM 0.1GB

Name: Visual Jev 4B Answer Sft
Author: guanxuyu

Visual Jev 4B Answer Sft is an open-source language model by guanxuyu. Features: 4b LLM, VRAM: 0.1GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.33.

Arxiv:2609.25845 Adapter Base model:adapter:qwen/qwen3-... Base model:qwen/qwen3-vl-4b-in... Finetuned Image-text-to-text Instruct Lora Multiple-choice Peft Qwen3-vl Region:us Safetensors Visual-question-answering

Model Card on HF 🤗: https://huggingface.co/guanxuyu/visual-jev-4b-answer-sft

Visual Jev 4B Answer Sft Parameters and Internals

LLM Name	Visual Jev 4B Answer Sft
Repository 🤗	https://huggingface.co/guanxuyu/visual-jev-4b-answer-sft
Base Model(s)	Qwen3 VL 4B Instruct Qwen/Qwen3-VL-4B-Instruct
Model Size	4b
Required VRAM	0.1 GB
Updated	2026-09-26
Maintainer	guanxuyu
Instruction-Based	Yes
Model Files	0.1 GB
Model Architecture	Adapter
License	apache-2.0
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	gate_proj\|k_proj\|down_proj\|up_proj\|v_proj\|o_proj\|q_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16

Rank the Visual Jev 4B Answer Sft 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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