Who should use SmolLM WebGPU?

SmolLM WebGPU is an open-source project built for developers and AI researchers.

Is SmolLM WebGPU free?

Yes — SmolLM WebGPU is free to use.

Is SmolLM WebGPU still maintained?

Unverified. SmolLM WebGPU 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 SmolLM WebGPU?

Similar projects tracked by PulseGate include SmolLM3 WebGPU, SmolLM 1.7B, and SmolLM3 3B.

Who develops SmolLM WebGPU?

SmolLM WebGPU is developed by HuggingFaceTB.

When did SmolLM WebGPU launch?

SmolLM WebGPU first shipped in 2024.

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SmolLM WebGPU

Name: SmolLM WebGPU
Author: HuggingFaceTB

huggingface.coText generation

SmolLM WebGPU is a web application that provides text generation capabilities using a large language model with WebGPU acceleration. It is open source and designed for developers and AI researchers seeking fast, local inference.

FreeWebCloud-managed

Visit huggingface.co

1alternative

5features

2024since

Overview

5 features

In the Text generation space, SmolLM WebGPU takes a focused approach. It focuses on generating coherent text completions from prompts using an open large language model. SmolLM WebGPU is an open-source project aimed at developers and AI researchers. SmolLM WebGPU is free to use. It runs on the web.

HuggingFaceTB builds and maintains SmolLM WebGPU, and it first shipped in 2024. Among its 5 catalogued features are text generation, prompt input, and webGPU acceleration.

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

Text generation
Prompt input
WebGPU acceleration
Open weights
Fast inference

Built with & integrations

Hosting

AWS

AI providers

local_oss

Runs on

BrowserCloud-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

Indexed11 Jul · 00:30 UTC
HuggingFaceTB/SmolLM2-1.7B-Instruct-WebGPU verified against its public source
Source: PulseGate · Open

Frequently asked questions about SmolLM WebGPU

What is SmolLM WebGPU?: SmolLM WebGPU focuses on generating coherent text completions from prompts using an open large language model. It is catalogued under Text generation on PulseGate.
Who should use SmolLM WebGPU?: SmolLM WebGPU is an open-source project built for developers and AI researchers.
Is SmolLM WebGPU free?: Yes — SmolLM WebGPU is free to use.
What platforms does SmolLM WebGPU run on?: SmolLM WebGPU runs on the web.
Is SmolLM WebGPU still maintained?: Unverified. SmolLM WebGPU 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 SmolLM WebGPU?: Similar projects tracked by PulseGate include SmolLM3 WebGPU, SmolLM 1.7B, and SmolLM3 3B.SmolLM3 WebGPU SmolLM 1.7B SmolLM3 3B
Who develops SmolLM WebGPU?: SmolLM WebGPU is developed by HuggingFaceTB.
When did SmolLM WebGPU launch?: SmolLM WebGPU first shipped in 2024.

At a glance

Platforms: Web
Languages: English
Built for: developers and AI researchers
Model: Open source
Solves: Generating coherent text completions from prompts using an open large language model.

Registered as

Hugging Face Spaces: HuggingFaceTB/SmolLM2-1.7B-Instruct-WebGPU

Developer

HuggingFaceTB

Index record

Identity confidence: High · 92.6
Indexed: 11 Jul 2026
Lifecycle: Alive
Last seen: 11 Jul 2026

Identity audit (12)

Slug: huggingfacetb-smollm2-1-7b-instruct-webgpu-huggingface-co
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 11 Jul 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Derived from the project's own page and URL.
Category from: Recorded source: taxonomy-pass-a.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Canonical URL: https://huggingface.co/spaces/HuggingFaceTB/SmolLM2-1.7B-Instruct-WebGPU

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