What are the hardware requirements for Okinawa Sign Vlm V2?

Okinawa Sign Vlm V2 requires approximately 1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Okinawa Sign Vlm V2 and how large is it?

Okinawa Sign Vlm V2 is developed by LoNebula, a model with 256m 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 Okinawa Sign Vlm V2?

Okinawa Sign Vlm V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Okinawa Sign Vlm V2 by LoNebula — VRAM 1GB

Name: Okinawa Sign Vlm V2
Author: LoNebula

Okinawa Sign Vlm V2 is an open-source language model by LoNebula. Features: 256m LLM, VRAM: 1GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.28.

Base model:finetune:huggingfac... Base model:huggingfacetb/smolv... Conversational Dataset:lonebula/okinawa-sign-... Idefics3 Image-text-to-text Instruct Ja Okinawan Region:us Ry Safetensors Shuri Synthetic-data Vision Vision-language-model

Model Card on HF 🤗: https://huggingface.co/LoNebula/okinawa-sign-vlm-v2

Okinawa Sign Vlm V2 Parameters and Internals

LLM Name	Okinawa Sign Vlm V2
Repository 🤗	https://huggingface.co/LoNebula/okinawa-sign-vlm-v2
Base Model(s)	SmolVLM 256M Instruct HuggingFaceTB/SmolVLM-256M-Instruct
Model Size	256m
Required VRAM	1 GB
Updated	2026-10-17
Maintainer	LoNebula
Model Type	idefics3
Instruction-Based	Yes
Model Files	1.0 GB
Supported Languages	ja ry
Model Architecture	Idefics3ForConditionalGeneration
License	apache-2.0
Model Max Length	8192
Transformers Version	4.57.6
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	49280

Rank the Okinawa Sign Vlm V2 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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