Who should use SmolVLM?

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

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 projects are similar to SmolVLM?

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

Who develops SmolVLM?

SmolVLM is developed by HuggingFaceTB.

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SmolVLM

Name: SmolVLM
Author: HuggingFaceTB

huggingface.coMultimodal & vision

SmolVLM is a Hugging Face web application for asking questions about one or more uploaded images. It combines visual inputs with text queries to generate written responses and is based on an openly available vision-language model.

FreeWebSelf-hostedCloud-managed

Visit huggingface.co

1alternative

5features

2026since

Overview

5 features

SmolVLM sits in PulseGate's Multimodal & vision category. It focuses on understanding and querying image content without manually inspecting or describing it. It is built as an open-source project for developers, researchers, and users exploring multimodal AI. SmolVLM is free to use. It ships for the web, and it can be self-hosted.

HuggingFaceTB builds and maintains SmolVLM. Key capabilities include Image Upload, Image Question Answering, and Multi-image Input.

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

Image Upload
Image Question Answering
Multi-image Input
Text Queries
Chat 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

Indexed4 Sept · 19:15 UTC
HuggingFaceTB/SmolVLM verified via Hugging Face Enumerator
Source: Hugging Face Enumerator · Open

Frequently asked questions about SmolVLM

What is SmolVLM?: SmolVLM focuses on understanding and querying image content without manually inspecting or describing it. It is catalogued under Multimodal & vision on PulseGate.
Who should use SmolVLM?: SmolVLM is an open-source project built for developers, researchers, and users exploring multimodal AI.
Is SmolVLM free?: 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 projects are similar to SmolVLM?: Similar projects tracked by PulseGate include SmolVLM, Instant SmolLM, and SmolVLM realtime WebGPU.SmolVLM Instant SmolLM SmolVLM realtime WebGPU
Who develops SmolVLM?: SmolVLM is developed by HuggingFaceTB.

At a glance

Platforms: Web
Languages: English
First seen: 4 Sept 2026
Built for: developers, researchers, and users exploring multimodal AI
Model: Open source
Solves: Understanding and querying image content without manually inspecting or describing it.

Registered as

Hugging Face Spaces: HuggingFaceTB/SmolVLM

Developer

HuggingFaceTB

Index record

Indexed: 4 Sept 2026
Lifecycle: Alive
First seen: Sept 2026
Last seen: 4 Sept 2026

Identity audit (13)

Slug: huggingfacetb-smolvlm-huggingface-co
Lifecycle state recorded: 4 Sept 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 4 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: 4 Sept 2026
Canonical URL: https://huggingface.co/spaces/HuggingFaceTB/SmolVLM

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