What are the hardware requirements for Webbrain Vl 2 450M?

Webbrain Vl 2 450M requires approximately 0.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Webbrain Vl 2 450M and how large is it?

Webbrain Vl 2 450M is developed by webbrain-one, a model with 450m 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 Webbrain Vl 2 450M?

Webbrain Vl 2 450M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Webbrain Vl 2 450M by webbrain-one — VRAM 0.9GB

Name: Webbrain Vl 2 450M
Author: webbrain-one

Webbrain Vl 2 450M is an open-source language model by webbrain-one. Features: 450m LLM, VRAM: 0.9GB, License: other, LLM Explorer Score: 0.3.

Base model:finetune:liquidai/l... Base model:liquidai/lfm2.5-vl-... Browser-automation Conversational Dataset:webbrain-one/webbrain-... Endpoints compatible Gui-understanding Image-text-to-text Lfm2 vl Region:us Safetensors Vision Vision-language-model Webbrain

Model Card on HF 🤗: https://huggingface.co/webbrain-one/webbrain-vl-2-450M

Webbrain Vl 2 450M Parameters and Internals

LLM Name	Webbrain Vl 2 450M
Repository 🤗	https://huggingface.co/webbrain-one/webbrain-vl-2-450M
Base Model(s)	LiquidAI/LFM2.5-VL-450M LiquidAI/LFM2.5-VL-450M
Model Size	450m
Required VRAM	0.9 GB
Updated	2026-08-23
Maintainer	webbrain-one
Model Type	lfm2_vl
Model Files	0.9 GB
Model Architecture	Lfm2VlForConditionalGeneration
License	other
Transformers Version	5.3.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>

Rank the Webbrain Vl 2 450M 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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