SmolVLM is an open-source project built for developers, researchers, and users exploring multimodal AI.

Does SmolVLM have a free plan?

Yes — SmolVLM is free to use.

What platforms does SmolVLM run on?

SmolVLM runs on the web. It can also be self-hosted.

Is SmolVLM still maintained?

Unverified. SmolVLM has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.

What are alternatives to SmolVLM?

Similar projects tracked by PulseGate include SmolVLM, SmolVLM, and SmolVLM realtime WebGPU.

SmolVLM is developed by Hugging Face TB.

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SmolVLM

Name: SmolVLM
Author: Hugging Face TB

huggingface.coMultimodal & vision

SmolVLM is an interactive Hugging Face Space that accepts an image and text prompt, then generates a detailed multimodal response. It demonstrates the SmolVLM vision-language model for developers, researchers, and AI users.

FreeWebSelf-hostedCloud-managed

Visit huggingface.co

2alternatives

4features

2024since

Overview

4 features

SmolVLM sits in PulseGate's Multimodal & vision category. It focuses on understanding and describing image content using a text prompt without building a vision-language model workflow. SmolVLM is an open-source project aimed at developers, researchers, and users exploring multimodal AI. SmolVLM is free to use. It runs on the web, and it can be self-hosted.

Behind SmolVLM is Hugging Face TB. Among its 4 catalogued features are image upload, text prompts, and image description.

Summary written by a language model from the project’s public pages.

Image upload
Text prompts
Image description
Multimodal responses

Built with & integrations

Hosting

AWS

AI providers

local_oss

Runs on

BrowserSelf-hostedCloud-managed

Detected from

AWS: x-amz-cf-id header · x-amz-cf-pop header · via header
local_oss: huggingface in the HTML

Trust & compliance

Verified signals

HTTPSFree tier

Indexing history

What PulseGate has recorded for this listing

Indexed12 Sept · 00:01 UTC
HuggingFaceTB/SmolVLM-256M-Demo verified via Hugging Face Enumerator
Source: Hugging Face Enumerator · Open

Frequently asked questions about SmolVLM

What does SmolVLM do?: SmolVLM focuses on understanding and describing image content using a text prompt without building a vision-language model workflow. It is catalogued under Multimodal & vision on PulseGate.
Who is SmolVLM for?: SmolVLM is an open-source project built for developers, researchers, and users exploring multimodal AI.
Does SmolVLM have a free plan?: Yes — SmolVLM is free to use.
What platforms does SmolVLM run on?: SmolVLM runs on the web. It can also be self-hosted.
Is SmolVLM still maintained?: Unverified. SmolVLM has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What are alternatives to SmolVLM?: Similar projects tracked by PulseGate include SmolVLM, SmolVLM, and SmolVLM realtime WebGPU.SmolVLM SmolVLM SmolVLM realtime WebGPU
Who makes SmolVLM?: SmolVLM is developed by Hugging Face TB.

At a glance

Platforms: Web
Languages: English
First seen: 12 Sept 2026
Built for: developers, researchers, and users exploring multimodal AI
Model: Open source
Solves: Understanding and describing image content using a text prompt without building a vision-language model workflow.

Registered as

Hugging Face Spaces: HuggingFaceTB/SmolVLM-256M-Demo

Developer

Hugging Face TB

Index record

Indexed: 12 Sept 2026
Lifecycle: Alive
First seen: Sept 2026
Last seen: 12 Sept 2026

Identity audit (13)

Slug: huggingfacetb-smolvlm-256m-demo-huggingface-co
Lifecycle state recorded: 12 Sept 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 12 Sept 2026
Timeline basis: Indexed-at chronology (no inferred launch/funding milestones).
Name from: Derived from the project's own page and URL.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 12 Sept 2026
Canonical URL: https://huggingface.co/spaces/HuggingFaceTB/SmolVLM-256M-Demo

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